Engineer / Senior Engineer – AI Software Tools (Onsite)

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General

Summary

THIS IS A FULL-TIME ONSITE ROLE REQUIRING 5 DAYS A WEEK IN OFFICE AT QUALCOMM’S SAN DIEGO LOCATION

As a leading technology innovator, Qualcomm pushes the boundaries of what’s possible to enable next-generation experiences and drive digital transformation, creating a smarter, connected future for all.

As an Engineer / Senior Engineer in the Qualcomm AI Stack SDK Software team, you will contribute to the design, development, and delivery of AI/ML software solutions for on-device and edge AI inference on Snapdragon platforms. This role focuses on software implementation, optimization, and validation for modern AI architectures, with exposure to model optimization, quantization, graph transformations, and runtime execution.

You will work at the intersection of machine learning, inference optimization, graph lowering, and systems software, contributing to the Qualcomm AI Stack SDK (QAIRT) and associated tools, including delegate support for ONNX Runtime, ExecuTorch, and TFLite/LiteRT frameworks. You will collaborate closely with senior engineers and cross-functional teams such as ML Research, AI accelerator HW/SW teams, Product Management, Program Management, and QA to help bring features from concept to production.

This role emphasizes strong software fundamentals, hands-on development, and collaboration, with opportunities to grow technical ownership and responsibility over time.

Minimum

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Responsibilities

· Implement, optimize, and validate AI software features for inference on Snapdragon platforms.

· Contribute to graph transformations, graph lowering, and runtime optimizations within AI runtimes such as ONNX Runtime, ExecuTorch, and Qualcomm AI Stack SDK.

· Assist in applying quantization and performance optimization techniques to improve latency, throughput, memory usage, and power efficiency.

· Work with modern AI models and algorithms, including transformers, and gain exposure to Generative AI inference concepts such as attention mechanisms, MoE, and LoRA.

· Collaborate with ML Research and platform teams to prototype, validate, and integrate new ideas into SDK features.

· Debug software issues across model, runtime, OS, and hardware layers, perform root-cause analysis, and contribute fixes.

· Develop and maintain high-quality, well-documented code within the Qualcomm AI Stack SDK.

· Participate in design discussions, code reviews, and testing cycles to ensure correctness, performance, and maintainability.

· Learn and apply best practices in scalable AI software development under guidance from senior engineers.

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Minimum Qualifications (Must Have)

· Bachelor’s degree in computer science, computer engineering, or a related field.

· Engineer: Projects or Internships experience (Entry level) or 1+ years of experience in software development

OR Senior Engineer: 2+ years of experience in software design, development, and delivery

· Proficiency in Python and/or C & C++ for production software development.

· Strong understanding of software engineering fundamentals, including data structures, algorithms, debugging, and testing.

· Foundational understanding of AI/ML concepts, including deep learning and inference pipelines.

· Ability to collaborate effectively within a team and communicate technical concepts clearly.

· Good coding skills in Python or C/C++

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Preferred Qualifications

· Master’s degree in computer science, computer engineering, or electrical engineering.

· 1+ years of experience building embedded software applications.

· Exposure to AI/ML inference or model optimization workflows.

· Familiarity with graph-based ML representations and tooling (e.g., ONNX, TorchScript, MLIR).

· Basic understanding of quantization techniques (e.g., PTQ, QAT) and performance tuning.

· Experience or coursework involving transformer-based models, LLMs, or vision models.

· Experience developing on Linux-based environments; exposure to Android or RTOS (e.g., QNX) is a plus.

· Familiarity with git-based SCM, CMake-based builds, and agile development practices.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$158,400.00 - $237,600.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.

For more details click Job Post.