Senior Staff Engineer, GPU Architect, Machine Learning
3655 N 1st St, San Jose, CA, USA, United States
USD 198K-297K Senior-level Full Time
Tasks
- Analyze ML workloads and identify bottlenecks
- Collaborate with hardware, software, and research teams
- Define technical specifications for GPU architectures
- Design GPU features for machine learning
- Develop middleware and hardware software integration
- Model workloads to guide architectural tradeoffs
- Optimize GPU performance and power efficiency for AI
- Translate ML insights into production ready GPU designs
Perks/Benefits
- 401k
- Dental insurance
- Employee purchase program
- Life insurance
- Medical insurance
- Onsite lunch
- Paid time off
- Relocation support
- Student loan program
- Tuition assistance
- Vision insurance
- Wellness incentives
Skills/Tech-stack
C++ | Computer Architecture | Computer Vision | GPU Architecture | Graphics Pipeline | Language Models | Large Language Models | Machine Learning | Performance optimization | PyTorch | Python | Ray Tracing | TensorFlow | Workload Analysis | Workload modeling
Education
Roles
Architect | Engineer | GPU Architect | Learning Engineer | Machine Learning Engineer
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