Datacenter AI Systems and Solutions Engineer, Senior Staff

What you'll do

• Lead the development of end-to-end AI/ML solutions integrating Qualcomm hardware, system software, and ecosystem components.
• Drive the design, development, deployment, and optimization of Generative AI and LLM-based applications for production readiness.
• Implement model fine-tuning, distillation, and optimization strategies tailored for specific target hardware.
• Research, design, simulate, and validate AI systems spanning hardware, software, frameworks, and models to meet system requirements.
• Perform AI model benchmarking and workload characterization to influence hardware/software co-design and product direction.
• Serve as a technical lead for customer engagements regarding model onboarding, inference optimization, and performance tuning.
• Own system-level architecture design, including requirements definition, interface specifications, and performance targets.
• Lead system-level debugging and triage to identify root causes across the full technology stack.

What we're looking for

• Bachelor's degree and 6+ years of Systems Engineering experience, OR Master's degree and 5+ years, OR PhD and 4+ years.
• Strong proficiency in Python and experience with ML frameworks, APIs, REST services, and microservice-based architecture.
• Hands-on experience designing, deploying, and operating AI/ML systems in production.
• Solid understanding of Generative AI architectures, including transformers, diffusion models, and hybrid systems.
• Experience with large-scale AI systems architecture, including distributed systems, event-driven designs, and fault-tolerant architectures.
• Practical experience with AI inference serving, performance optimization, and scalability across heterogeneous hardware.
• Experience with MLOps practices for AI application development, deployment, monitoring, and lifecycle management.
• Familiarity with automation and DevOps tooling, including GitOps, Docker, Kubernetes, and ML lifecycle tools.