Datacenter AI Systems and Solutions Engineer, Sr Staff
Core
Research, develop, optimize, and validate software, hardware, architecture, algorithms, and machine learning solutions for cutting-edge AI datacenter technology and Qualcomm AI inference accelerators.
Role type
Sr Staff IC datacenter AI systems and solutions engineer
Builds
Best-in-class AI inference accelerators for data center and hybrid AI applications
Domain
Datacenter AI / Machine Learning / Systems Engineering
Deliverable
production ML models
Required skills
Python, ML frameworks, Generative AI architectures (transformers, diffusion models, LLMs), large-scale AI systems architecture, AI inference serving, MLOps, containerization (Docker), orchestration (Kubernetes), cluster schedulers (Slurm, PBS), observability tools
Preferred skills
Fine-tuning and optimization of GenAI models, reinforcement learning, rack-level orchestration, fleet management, data center automation
Technologies
Python, Docker, Kubernetes, Slurm, PBS, ML frameworks, REST services, microservice-based architecture
Responsibilities
Lead end-to-end AI/ML solution development integrating hardware and software; Drive design and optimization of Generative AI and LLM-based applications; Contribute to model fine-tuning, distillation, and optimization; Perform AI model benchmarking and performance analysis; Serve as technical lead for customer engagements; Own system-level architecture and design; Collaborate across cross-functional teams to deliver features and validate system correctness
Seniority
Sr Staff, hands-on IC with technical leadership
