Senior AI Architect, Foundation Models and SoC Co-Design – Autonomous Vehicles
US, CA, Santa Clara, United States
USD 208K-327K Senior-level Full Time
Tasks
- Align platform roadmap and strategy
- Analyze compute memory bandwidth latency
- Define benchmarking methodologies and evaluation metrics
- Develop workload characterization and performance analysis
- Drive hardware-software co-design
- Evaluate latency throughput power safety tradeoffs
- Forecast AI model architectures
- Prototype and evaluate model paradigms
Perks/Benefits
Skills/Tech-stack
Artificial Intelligence | Bottleneck analysis | CUDA | Deep learning | Diffusion Models | Distributed Training | Efficient Inference | FP4 | FP8 | Inference Optimization | Inference Server | Jetson | Knowledge Distillation | Machine Learning | Memory-efficient inference | Mixture of Experts | Multimodal Learning | NVIDIA Drive | Performance Profiling | Pruning | Quantization | Scaling Laws | Sparsity | Systems Bottleneck Analysis | TensorRT | TensorRT-LLM | Transformers | Triton | Triton Inference | Triton Inference Server | Vision-language | Vision-language-action | Workload characterization
Education
Roles
Regions
Countries
States
Cities
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