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About the Role
As a Principal AI Systems Performance Engineer, you will direct experiments on AI training, inference, and agentic workloads across complete server systems. You will pinpoint where bandwidth, capacity, latency, power, and data movement restrict performance—then convert your discoveries into product requirements and guidance for engineering, product, and customer teams. Your efforts will link current measurements with the demands of future AI infrastructure.
Responsibilities
- Develop and perform controlled, representative AI experiments on current and pre-production CPU-GPU systems, evaluating memory and storage performance, power, and thermal tradeoffs.
- Profile workloads from GPU memory through system memory, CXL-attached memory, storage, and interconnects; assess performance from node to cluster scale, including efficiency, latency, utilization, scalability, and tail behavior.
- Evaluate data placement, migration, prefetching, compression, and tiering approaches for KV cache, model state, and other AI data.
- Build and validate performance models, simulations, traces, and reusable benchmarking tools to forecast future system requirements.
- Lead cross-functional projects and transform outcomes into product requirements, develop recommendations, publications, demonstrations, and customer mentorship.
Requirements
- Bachelor’s degree with at least 10 years of experience; master’s degree with 5 or more years; or Ph.D. with demonstrated experience in a related field.
- Hands-on experience profiling and benchmarking multi-GPU AI systems across single-node and multi-node environments.
- Understanding of transformer workloads, memory behavior, distributed systems, and agentic AI infrastructure.
- Experience with PyTorch, an AI serving platform, Python, and at least one of C, C++, CUDA, or Triton.
- Ability to lead controlled experiments and communicate results to technical and business audiences.
- Experience with memory tiering, KV-cache management, or emerging AI workloads.
- Experience with disaggregated infrastructure or performance modeling and simulation.
- Relevant research, patents, open-source contributions, or other substantial technical work.
Skills
- AI training
- AI inference
- Agentic workloads
- Server systems performance
- Bandwidth analysis
- Capacity analysis
- Latency analysis
- Power analysis
- Data movement analysis
- Product requirements development
- Memory performance
- Storage performance
- Thermal tradeoffs
- GPU memory profiling
- System memory profiling
- CXL-attached memory profiling
- Storage profiling
- Interconnects profiling
- Node scale performance assessment
- Cluster scale performance assessment
- Efficiency assessment
- Utilization assessment
- Scalability assessment
- Tail behavior assessment
- Data placement evaluation
- Data migration evaluation
- Data prefetching evaluation
- Data compression evaluation
- Data tiering evaluation
- KV cache management
- Model state management
- Performance modeling
- Simulation
- Traces analysis
- Benchmarking tool development
- Cross-functional project leadership
- Recommendation development
- Publication writing
- Demonstration development
- Customer mentorship
- PyTorch
- AI serving platform
- Python
- C
- C++
- CUDA
- Triton
Experience Level
- At least 10 years of experience (Bachelor's degree)
- 5 or more years of experience (Master's degree)
- Demonstrated experience (Ph.D.)
Education Level
- Bachelor's degree
- Master's degree
- Ph.D.
Benefits
- Choice of medical, dental and vision plans
- Income protection programs
- Paid family leave
- Robust paid time-off program
- Paid holidays
About the Company
- Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
- As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth.
Equal Opportunity
- Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
- Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
- Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.