Research Scientist, AI & Systems Co-design (PhD)
Tasks
- Benchmark and analyze AI workload performance
- Co design AI hardware and software stack for future workloads
- Co design and optimize parallelism for GenAI systems
- Improve compute efficiency for distributed training and inference
- Influence AI accelerator hardware roadmap
- Innovate and co design model deployment techniques
- Lead cross-functional technical initiatives
- Prototype and productionize optimized ML kernels
Perks/Benefits
- N/A
Skills/Tech-stack
AI hardware | AI hardware accelerators | Benchmarking | CUDA | Deep learning | Distributed Training | Distributed inference | Generative AI | HDL | HIP | Hardware Accelerators | Hardware Architecture | Inference | Language Models | Large Language Models | Low-level programming | ML kernels | Neural Networks | Performance Modeling | Power performance area | Power/performance | Profiling | Python | Ranking Recommendation Systems | Recommendation Systems | Training | Transformers | Triton
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
Cities
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