Overview

Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? Join Engineering Operations (EngOps) – the organization driving operational excellence across the Microsoft Cloud to strengthen quality, reliability, security, and customer trust. As part of EngOps, you’ll design solutions that prevent issues before they happen, embed AI-powered automation, and turn signals into actions that deliver measurable customer impact. Our culture of empowerment, inclusion, and growth mindset defines how we work. Are you an experienced product leader looking for an opportunity to work on some of Azure’s biggest challenges? We are the Engineering Operations (EngOps) team, and we are looking for a Principal Program Manager to join our team.

We sit within the Azure engineering organization and consider customer-facing operational experiences to be essential to the success of the cloud. Our mission is to reduce customer impact during platform events and empower customers with world-class, AI-driven action and guidance when they need clarity, action, or confidence. Our team builds the core experiences and platforms that shape how customers understand the state of their services, navigate issues, and make informed decisions.

We are now expanding our charter to bring Engineering Operations capabilities directly to third-party Azure customers through both Azure Portal and programmatic experiences, enabling them to benefit from the same operational insights and guidance used internally at Microsoft. This role will be central to defining and shaping that offering.

We are looking for a Principal PM to define and deliver a new customer-facing offering that brings EngOps capabilities directly to third-party Azure customers. You will unify and integrate existing Azure operational experiences and build a cohesive, AI-driven solution that scales across the Azure ecosystem. You will work across engineering, data science, marketing, and partner teams to shape the strategy, validate market fit, establish the business model, and drive the product from early pilots to global availability.

This is a high-impact role with visibility across Azure leadership.

Responsibilities

Job Responsibilities:

• Lead the product vision and strategy for bringing EngOps capabilities to third-party Azure customers unifying existing operational experiences, defining the end-to-end customer journey, and shaping an AI-driven, integrated solution that delivers clear customer value.
• Conduct deep customer, market, and competitive analysis to identify unmet needs, validate product-market fit, size opportunities, and produce a compelling business case and ROI model that informs product direction and monetization strategy.
• Drive cross-disciplinary execution by partnering with engineering, data science, design, and platform teams to define requirements, align on architecture and telemetry, and deliver rapid, high-quality iterations from early pilots to broad-scale release.
• Collaborate with Product Marketing and Business Planning to define go-to-market and customer acquisition strategies, develop monetization approaches, and support launch readiness through messaging, content, and rollout planning.
• Engage directly with early customers and partners to gather insight, validate scenarios, refine the offering, and guide ongoing product improvements using data, feedback, KPIs, and rigorous performance evaluation.

Qualifications

Required Qualifications:

• Bachelor’s degree or higher in computer science or a related field AND 8+ years experience in product/service/program management or software development OR equivalent experience.
• Experience translating customer requirements and scenarios into features, including writing software specifications with user experiences
• Experience driving cross-company and cross-organization products and programs
• Experience using data to drive prioritization and measure progress
• Experience presenting to and managing product status with senior company leadership

Preferred Qualifications:

• Bachelor's Degree AND 12+ years experience in product/service/program management or software development OR equivalent experience.
• Exceptional collaboration and communication skills (verbal and written)
• Experience with data analytics, AI, LLMs, and related technologies

Minimum Qualifications:

• Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.
• 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).

PRIMOjobs

EngOps

Product Management IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Within GitHub and Microsoft CoreAI, the Copilot CLI team builds GitHub’s coding agent in the terminal, and the core agent loop that powers agentic experiences across GitHub and Microsoft. Our work spans the full software development lifecycle, with a focus on turning modern AI systems into reliable, production-grade developer tools.

We are looking for a Senior Software Engineer to help build a world-class coding agent CLI. This role is for engineers who care deeply about product quality, end-to-end ownership, and the details that separate promising tools from ones developers trust and adopt daily.

Our work sits at the intersection of agentic AI systems and high-performance developer tooling. We are particularly interested in candidates with strength in one or more of the following areas:

• Building, evaluating, and iterating on agentic systems, including tool design, agent loops, benchmarking, and quality optimization

• Building delightful, high-performance terminal experiences, including terminal UIs, low-level primitives, and systems that feel fast, predictable, and polished

Engineers on this team operate with high autonomy and a strong product mindset. You will own large surface areas end-to-end, partner closely with product and design, and push to continuously raise the quality bar for both the CLI and the underlying agent platform used across GitHub and Microsoft.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As part of GitHub and CoreAI, we build developer tools that materially improve how software is written, reviewed, and shipped, while maintaining a culture of ownership, rigor, and technical excellence.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Take ownership of critical product and platform areas of the Copilot CLI and shared agent runtime

• Set a high technical and quality bar for agentic systems and developer-facing tooling

• Design and ship performant, reliable terminal experiences that developers depend on for daily work

• Use data, benchmarks, and direct user feedback to guide iteration and investment

• Collaborate across org boundaries to enable other teams to build agentic products on top of a shared foundation

• Influence architecture, technical direction, and engineering standards beyond your immediate team

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years

Preferred Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

• Hands-on experience building and operating generative AI or agentic systems in production, with direct ownership over quality, reliability, and iteration

• 5+ years of experience building and shipping customer-facing developer products, with depth across platform/foundation systems and user-facing experiences

• Strong product mindset with a track record of owning ambiguous problem spaces and driving them to high-quality outcomes

• Solid engineering fundamentals, including systems design, performance, and debugging in complex production environments

• Experience designing, running, and optimizing evaluations for agentic systems, including tools, prompts, and agent loops

• Experience building terminal user interfaces (TUIs) or working with low-level terminal primitives is a strong plus

• Experience contributing to or leading open-source projects at scale is a plus

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

The HPC/AI (High performance Computing and Artificial Intelligence) team is on a mission to build the next-generation distributed AI supercomputer, enabling breakthroughs in artificial intelligence by delivering unmatched computational power, scalability and reliability. We design and develop cutting-edge infrastructure that supports high-performance AI model training at scale, laying the foundation for innovations that redefine what AI can achieve.

We are seeking passionate and innovative software engineers to design and build cutting-edge networking infrastructure that powers large-scale AI training. This role focuses on developing next-generation networking capabilities to ensure high performance, low latency, and minimal jitter for distributed AI workloads. You will play a critical role in enabling state-of-the-art AI systems to achieve their full potential.

As a Software Engineer on the HPC/AI team, you will play a pivotal role in shaping the next-generation networking infrastructure for AI training and inference in Azure Cloud. This is a unique opportunity to work at the intersection of two of the hottest fields in technology: AI and high-performance computing. With the explosive growth of generative AI and the increasing demand for large-scale, low-latency systems, this area is at the forefront of innovation and impact. You will work across diverse network architectures and cutting-edge processor and accelerator technologies, driving the design and delivery of a comprehensive, end-to-end solution with a relentless focus on performance, scalability, and observability. If you’re passionate about groundbreaking technology, large-scale systems, and AI infrastructure, join us to build the platform that will power the future of AI supercomputing!

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Design, develop, and optimize networking solutions tailored for large-scale AI training infrastructure. Architect and implement high-performance, low-latency, and low-jitter communication frameworks for distributed systems.
• Benchmark, analyze, and enhance the scalability and reliability of networking systems to handle petabyte-scale data transfer.
• Debug and resolve complex networking issues in large-scale, high-performance environments.
• Drive identification of dependencies and the development of design documents for a product, application, service, or platform.
• Create, implement, optimize, debug, refactor, and reuse code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
• Act as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.
• Proactively seek new knowledge and adapts to new AI trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: 
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:             

• Bachelor's Degree in Computer Science
• OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python
• OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 1+ years experience with any of the following: High Performance Networking, InfiniBand, RoCE, CUDA

azurecorejobs

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team?Join Engineering Operations (EngOps) – the organization driving operational excellence across the Microsoft Cloud to strengthen quality, reliability, security, and customer trust. As part of EngOps, you’ll design solutions that prevent issues before they happen, embed AI-powered automation, and turn signals into actions that deliver measurable customer impact. Our culture of empowerment, inclusion, and growth mindset defines how we work. 

Our team is at the heart of delivering scalable, resilient, and intelligent solutions that empower customer engineering teams across the organization. We are seeking a highly experienced and innovative Senior Customer Engineer with a strong development experience and focus on AI/ML, agentic systems, and full stack development to join the team. This role offers the opportunity to lead the development of next-generation intelligent platforms and contribute to the strategic direction of customer engineering for GSX and commercial businesses. The selected candidate will be mainly focusing on developing the agentic AI systems to transform Azure support.

Every day, customers stake their business and reputation on our cloud. You can help EngOps keep them secure, resilient, and ready. 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Architect, design, and implement scalable software solutions that support core ACES functionalities.
• Develop intelligent agentic systems capable of autonomous decision-making and task execution.
• Build and optimize AI agents using AI Foundry, Python, and reinforcement learning techniques.
• Develop full stack applications with a strong emphasis on backend services using C# and cloud-native technologies.
• Design and implement synthetic data generation pipelines to support training and evaluation of agentic models.
• Collaborate with product managers, researchers, and engineering teams to define technical requirements and deliver innovative solutions.
• Drive technical excellence through mentorship, code reviews, and adoption of best practices.
• Own the end-to-end lifecycle of software components, including design, development, testing, deployment, and maintenance.
• Contribute to architectural decisions, scalability strategies, and long-term technical vision.
• Evaluate and integrate emerging technologies to enhance platform capabilities.
• Ensure high standards of software quality, performance, and security.

Qualifications

Basic Qualifications:

• Bachelor’s degree in computer science, Engineering, or related field.
• 8+ years of experience in software development, with a strong track record of delivering complex systems.
• Proficiency in Python and C# with deep experience in AI/ML and full stack development.
• Hands-on experience with AI Foundry, agentic systems, and reinforcement learning.
• Strong understanding of data structures, algorithms, system design, and distributed computing.
• Experience with cloud platforms (Azure) and microservices architecture.

Preferred Qualifications:

• Bachelor’s/master’s in computer science, AI, or related field.
• Experience with CI/CD pipelines, DevOps practices, and container orchestration (e.g., Kubernetes).
• Expertise in synthetic data generation, simulation environments, and AI evaluation frameworks.
• Proven leadership in driving technical initiatives and mentoring engineering teams.
• Strong problem-solving skills and ability to thrive in a fast-paced, collaborative environment.

Customer Experience Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Our team is at the forefront of transforming digital advertising through intelligent automation and large-scale optimization. We design and build the auto-bidding platform that powers real-time ad auctions across Microsoft’s marketplaces—leveraging cutting-edge AI, machine learning, and large-scale distributed systems to bid on behalf of millions of advertisers.Our systems process billions of auction events daily, optimizing bids in milliseconds to maximize performance and return on ad spend. Engineers and scientists work hand-in-hand, blending algorithmic innovation, reinforcement learning, and large-scale data pipelines to create the intelligence that drives Microsoft Advertising’s success.We’re looking for a Principal Software Engineer who thrives at the intersection of AI systems, real-time decision-making, and scalable cloud infrastructure. You’ll help shape the next generation of our agentic auto-bidding platform — one that learns, adapts, and optimizes autonomously. Your work will directly influence advertiser ROI and drive billions of dollars in revenue across Bing, MSN, and the Microsoft ecosystem.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

Collaborate with data scientists, ML engineers, and product teams to define requirements for agentic AI-driven bidding capabilities that observe, reason, and adapt autonomously.Architect and implement the next-generation agentic bidding platform, enabling AI agents to monitor marketplace signals, interpret advertiser and user behavior, and continuously optimize bidding strategies.Build large-scale data validation and quality frameworks to ensure correctness, consistency, and reliability across all auction-critical signals feeding the AI agents.Act as a Designated Responsible Individual (DRI): drive operational excellence, incident management, on-call readiness, and high-availability practices for mission-critical bidding services.Develop experimentation and simulation frameworks to validate agent behavior and optimize policies before deployment in live auctions.Proactively adopt new patterns, technologies, and engineering practices to improve availability, efficiency, performance, and scalability across the bidding stack.Set technical direction, mentor engineers, and foster a culture of high-quality execution, innovation, and accountability.Explore and invest in emerging AI techniques— multi-agent systems, adaptive optimization—to enhance the autonomy, intelligence, and impact of the bidding platform.

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred

• Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 4+ years of hands-on experience with large-scale streaming platforms such as Apache Spark or Flink.
• 4+ years of experience as a technical lead, including mentoring and guiding engineers.
• 7+ years of experience developing and deploying large-scale distributed systems in production environments.
• 7+ years of hands-on experience in machine learning operations (MLOps), including pipeline automation, monitoring, and lifecycle management.
• Domain knowledge and experience building large scale distributed bidding or auction platforms.
• Experience building real world applications using AI techniques.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check:This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

MicrosoftAI

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Do you want to be at the forefront of innovating the latest hardware designs to propel Microsoft’s cloud growth? Are you seeking a unique career opportunity that combines technical capabilities, cross-team collaboration with business insight and strategy?

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to achieve our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Join the Systems Planning and Architecture (SPARC) team within Microsoft’s Azure Hardware Systems and Infrastructure (AHSI) organization, the team behind Microsoft’s expanding Cloud Infrastructure and for powering Microsoft’s “Intelligent Cloud” mission. Microsoft delivers more than 200 online services to more than one billion individuals worldwide, and AHSI is the team behind our expanding cloud infrastructure. We deliver the core infrastructure and foundational technologies for Microsoft's cloud businesses including Microsoft Azure, Bing, MSN, Office 365, OneDrive, Skype, Teams and Xbox Live.

We are seeking a highly skilled Senior AI Software Architect to join our team focused on model enablement and performance optimization for Maia accelerators. This role is ideal for someone with strong experience in PyTorch-based model development, quantization techniques, and parallelization strategies at the framework level. You will work closely with hardware and software teams to bring up models on Maia and ensure they run efficiently.

Responsibilities

Model Enablement:

• Port and optimize large-scale AI models (e.g., foundation models, diffusion models, YOLO) to run efficiently on Maia hardware.

• Integrate models using frameworks such as PyTorch, ONNX, vLLM, and SGLang.

Performance Optimization:

• Apply techniques like KV cache quantization (e.g., BF16 → FP8), checkpointing, and re-sharding for efficient inference and training.

• Experiment with parallelism strategies (TP, PP) and analyze performance impacts across interconnects (NVLink vs PCIe).

Inference Stack Development:

• Collaborate on improving inference pipelines, including KV caching in sglang/vllm and performance tuning at the PyTorch level.

• Work with Triton kernels for basic operations (e.g., FP8 dequantization) and assist in kernel performance analysis.

Cross-Team Collaboration:

• Partner with hardware architects and kernel developers for co-design discussions.

• Communicate effectively with multiple stakeholders to align on performance goals and deliverables.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications

• Bachelor's Degree in Computer Science or Engineering.
• 3+ years of strong hands-on experience with PyTorch and model optimization techniques.
• Practical knowledge of quantization techniques like PTQ/QAT especially for KV cache quantization.
• Familiarity with parallelization strategies and distributed training concepts (e.g., sharding, allreduce).
• 2+ years of experience with AI inference stacks like SGLang/vLLM and performance profiling.
• Excellent problem-solving and communication skills; ability to work in a collaborative team environment.
• 3+ years of experience in Triton kernels and CUDA programming (basic understanding is acceptable but willingness to learn is essential).
• Experience with AI accelerator hardware and embedded systems.
• 3+ years of prior work on efficient model checkpointing, resharding scripts, and large-scale model deployments for serving at scale.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Viva Engage connects people through communities, bringing leaders and employees together to share knowledge, clarify priorities, build culture and relationships.   Viva Engage (formerly Yammer) is the premier tool to create multi-directional dialogue between tens of millions of employees worldwide every month.

Engage team members are at the forefront of driving AI applications and copilot adoption to make communication and information sharing easy and authentic. Our work supports top challenges for our customers, spreading shared knowledge, including digital safety, trusted security standards, and deep analytics to help our customers maximize reach, reduce inefficiencies, and create a thriving organizational culture. We would love to have you join the team driving innovation, connection, and community for our valued global customers. #VivaEngage

About this Job
As a Principal Applied Scientist at Viva Engage, your role is to build Agentic applications across our product, predictive models that connect individuals with each other and knowledge across organizations. Our focus lies in discovery, recommendations, relevance and grounding for features across Viva Engage, leveraging data from our platform and across Office 365.

What makes this role special?
This role presents an opportunity to create a vision around the Viva Engage Agentic Applications, the underlying platform and help us make it a reality. Our tight-knit, high-performing team, coupled with the unique challenges posed by social enterprise analytics, will offer plenty of opportunities for impact.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Design, build, and ship machine learning and LLM-driven capabilities that directly power AI features in Viva Engage, with clear product KPIs (e.g., activation, retention, engagement, moderation quality, time saved).
• Own end-to-end delivery of applied science solutions: problem framing → data/labels → modeling/prompting → evaluation → experimentation (A/B tests) → deployment → monitoring → iteration.
• Develop and operationalize AI agents for knowledge discovery, moderation, communities, and events—focused on measurable user value, automation, and high-quality recommendations.
• Work with large, complex datasets to solve ambiguous, non-routine product problems using advanced statistical and ML methods, prioritizing approaches that are production-viable.
• Utilize Large Language Models (LLMs) for advanced text analysis and natural language understanding tasks, enabling deeper connections and knowledge sharing across organizations.
• Leverage generative AI techniques to enhance data augmentation and predictive capabilities, further improving recommendations and personalized user experiences.
• Develop deep product intuition to influence future product roadmaps and drive decision-making by making pragmatic tradeoffcs between model quality, engineering complexity, and time-to-value.
• Collaborate with product and engineering to craft experiments and test hypotheses.
• Communicate clearly across disciplines: translate complex technical decisions into product implications, risks, and expected outcomes.
• Operate effectively in complex, cross-team environments and drive alignment through technical leadership and execution.

Hands On Expectations:

• This is a hands-on applied science engineering role: you will write production-quality code, prototype quickly, and implement your own solutions (not just analyses, papers, or slide decks).
• You will contribute directly in areas such as Python/TypeScript/Java services or pipelines, Prompt/Agent orchestration, Evaluation harnesses, Experimentation instrumentation, and model/agent monitoring.
• Success is defined by shipped features and measurable product impact.

In this role/team you will have:

• Autonomy and freedom to innovate—paired with accountability to deliver customer-facing outcomes collaborating with PM/Eng/UX as necessary.
• The ability to choose from best-in-class open source and Microsoft technology to ship reliably at scale.
• A strong experimentation culture: offline eval + online A/B testing to make data-driven decisions.
• An opportunity for outsized impact as part of a small but mighty team on a rapidly growing product needed now more than ever.

Qualifications

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.
• 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 5+ years experience conducting research as part of a research program (in academic or industry settings).
• 3+ years experience developing and deploying live production systems, as part of a product team.
• 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

vivaengage

Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Azure is the foundation of Microsoft’s Cloud Services and a central pillar of Microsoft’s evolving cloud sovereignty strategy. As customers face increasing demands around data residency, operational control, resilience, and transparency, Azure is evolving to meet these needs at global scale. Built on a secure‑by‑design foundation, Azure delivers world‑class security, compliance, and operational resilience while enabling customers to retain control over their data and operations with transparency and auditability.

Microsoft has an exciting opportunity for a Senior Techncial Product Manager in the Cloud+AI Microsoft Specialized Clouds team. This team is responsible for deploying and operating services, including the infrastructure that supports collaboration and mission‑critical workloads. The work directly contributes to Microsoft’s sovereign cloud capabilities, ensuring platforms can operate independently when required while remaining aligned with the core Azure ecosystem.

In this role, you will partner closely with engineering teams. The systems and software you build will be required to meet the security policy and assurance requirements of customers.  You will help shape systems and processes that assume zero trust by default that are scalable, repeatable sovereign capabilities. Your work will support both public‑sector and regulated commercial customers as Microsoft evolves its cloud architecture to meet the next generation of sovereignty expectations.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

As a Senior Technical Product Manager, your mission is to turn problems and gaps into the capabilities of tomorrow. You will be responsible for defining capabilities and partnering with engineering counterparts to deliver and operate them. You will work closely with stakeholders to understand their needs and define the product roadmap to ensure our offerings meets those needs.

As a part of a growing team, your responsibilities will include:

• Product Strategy: You will help shape our cloud roadmap by translating customer needs into scalable capabilities, tools, and processes. This role partners closely with customers and sales teams to gather signals, lead requirements workshops, and advise on solution design and deployment. As the voice of the customer, you will synthesize customer and market insights to drive clear prioritization decisions, ensuring strong return on investment and alignment with Microsoft’s strategy. You will collaborate across engineering and business stakeholders to deliver solutions that meet customer needs and maximize business value.
• Architecture: You will help mature the cloud architecture, identify opportunities for design optimization, and ensure our cloud is positioned to scale.
• Communications: You will be responsible for establishing and maintaining regular communications about the status of our cloud and upcoming developments. In addition, you will be able to conduct insightful conversations with senior business and technical decision makers inside and outside Microsoft.
• Team Collaboration: You will pull stakeholders together to align on a shared vision, working with a talented and diverse group of PMs, Developers, and internal teams that rely on our services to be successful. You must be a great collaborator, able to work effectively across broad teams and influence stakeholders of all levels and of all disciplines across Microsoft. Ability to engage colleagues across a large, diverse, and distributed organization to drive decisive action that delivers results for expanding the market for Azure across international boundaries.
• Cultural Leadership: Ability and passion to lead cultural initiatives, having positive impact on team morale and fostering an environment of inclusion
• Embody our culture and values

Qualifications

Required / Miniumum Qualifications:

Bachelor’s Degree AND 5+ years’ experience in product/service/project/program management or software development or equivalent experience.

Other Requirements:

• This position is not elibile for visa sponsorship. Candidates must have authorization to work in the United States that does not, now or in the future require employer sponsorship.
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• 6+ years of software development, product management, or technical program management with a strong track record of shipping products and services
• Ability to deal with ambiguity, navigate uncertain situations, and drive for clarity
• Previous experience and success in an engineering role where you delivered cloud services.
• Demonstrated experience in planning, cross-group collaboration, communications, analytical capabilities, and attention to detail.
• Passion and proven record for execution with measurable results; focus on delivering impact.
• Outstanding interpersonal skills, innovation, and the ability to motivate, inspire, and lead cross group/functional teams with a high degree of independence and success.
• Ability to work successfully across a complex, highly matrixed environment
• Ability to deal with ambiguity, navigate uncertain situations, and drive for clarity
• Demonstrated strong capability in verbal and written communications skills across a geographically dispersed audience

Product Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Senior Software Engineer – Auction Logic – Monetize Platform

We built a platform to provide an open, transparent marketplace and powerful enterprise technology enabling marketers to connect and engage consumers on thousands of high-quality websites and apps.

The Monetize Platform is an advanced buy-side and sell-side advertising technology platform that enables buyers and sellers to access and trade premium inventory in a transparent and streamlined environment.

Microsoft is hiring an experienced Senior Software Engineer to join the Auction Logic team, specifically focused on build, test, deploy, and monitoring.

As a Senior Software Engineer, you will

• Lead the cross-team engineering efforts to build business critical products for publishers and buyers on the Monetize platform.
• You will collaborate with a team of smart, passionate engineers.
• You will own significant areas of the Monetize real-time platforms and function as the architect.
• You will participate in setting the roadmap and direction for your areas of responsibility.

About the team:

The mission of the Auction Logic team is to create the digital marketplace with a purpose of accurately connecting advertisers (buyers) and publishers (sellers) in the most effective and efficient way possible. The team is responsible for building and operating a set of core components of Monetize real-time platform, specifically the distributed set of servers that runs an auction for every ad impression, delivers the ad content, and performs all the necessary accounting. The Monetize real-time platform is a large-scale distributed platform operating under strict real-time constraints, responding to and executing real-time, dynamic auctions in less than 100 milliseconds. In the past few years, we've grown from processing 300k QPS to over 5 million QPS for an approximate total of 100 billion requests per day. These events generate more than 150 TB of new data every day. Engineers work on the real-time components to optimize our software for performance, space, and algorithmic efficiency. The application that processes all those requests, impression bus, is among the responsibilities of the Auction Logic team. You will provide solutions to help connect advertisers and publishers in the digital marketplace as well as resolve complex technical issues that arise because of the immense scale of our platform.

About the job:

As a technical leader you’ll design and implement solutions that span multiple applications on the real time platform, are high quality, require hard real time constraints, are easy to operate and maintain, and make the lives of product engineers easier.  You will own or influence significant parts of the platform and allied areas. You will work closely with other engineers and our product teams, to not only make these systems go faster and handle more and more data, but also to build revolutionary new products for our clients. responsibilities will include:

• Designing and implementing scalable solutions including new features and enhancements of our Platform.
• Participating in and helping lead planning sessions with Product Management and Engineering team leads to constructing feature requirements and specifications.
• Produce prototype features quickly and participate in gathering feedback from clients.
• Bring innovation to the team in new features, improving build processes and product development lifecycle.
• Participate in code reviews and provide feedback to increase code efficiency, maintainability and robustness.
• Support and debug production level issues and provide fixes in an expedient manner.

More about you:

• You are focused on building high-quality, intuitive products.
• You are passionate about learning and teaching.
• You love challenging yourself to constantly improve and sharing your knowledge to empower others.
• You view processes as a means and not an end, preferring lean or automated approaches to ensure quality and productivity.
• You are not satisfied with the status quo and are always looking to improve how things are done and what is built

Responsibilities

• Works with appropriate stakeholders to determine user requirements for a set of features.
• Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight.
• Creates and implements code for a product, service, or feature, reusing code as applicable.
• Contributes to efforts to break down larger work items into smaller work items and provides estimation.
• Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.
• Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 5+ years of experience as a professional software developer.
• Experience building high performance, multi-threaded, distributed systems and applications, preferably in a Linux environment.
• Experience practicing advanced optimization techniques.
• Solid fundamental understanding of generalized architecture patterns and service-oriented architecture (SOA).
• Excellent Computer Science fundamentals with regards to data structures, algorithms, time complexity, etc.
• Excellent and creative problem-solving abilities. We will consider extensive experience with other languages as well, e.g., Rust, Go, etc.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

MicrosoftAI

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are passionate about the role of data in large-scale AI model training Will thrive in a highly collaborative, fast-paced environment Have a high degree of expertise and pay close attention to details Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies Effectively manage multiple responsibilities and can adjust to shifting priorities. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. This expectation is subject to local law and may vary by jurisdiction. Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience. Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 12+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 15+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience. 4+ years experience with data governance, data compliance and/or data security. Data Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year. Certain roles may be eligible for benefits and other compensation. Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video). Own and maintain critical data infrastructures, including spark, ray, vector databases, and others. Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models. Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation.