Manager, Deep Learning – Autonomous Vehicles and Robotics
US, CA, Santa Clara, United States
USD 224K-431K Mid-level Full Time
Tasks
- Bring research techniques into production
- Deliver inference optimization solutions
- Enable deep learning models for production
- Implement inference optimization toolchains
- Integrate with compiler runtime and hardware teams
- Lead deep learning engineers
- Optimize and deploy transformer and vision language models
- Own technical engagements with OEM partners
- Represent NVIDIA at partner reviews and conferences
- Scope delivery and resource allocation
- Set technical direction for model optimization
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Autonomous Driving | Compiler technology | Curriculum Design | Deep learning | End to End | End-to-End Autonomous Driving | GPU deployment | ISO 26262 | Inference Runtime | Inference Runtime Development | Inference engineering | Langchain | Langgraph | Language Models | MCP | MLIR | Model Optimization | Neural Network | Neural Network Compilation | Pipeline Optimization | Runtime development | SOC Deployment | SOTIF | State Space Models | State-Space | TVM | TensorRT | Training Pipeline | Training pipeline optimization | Transformers | Triton | Vision Language Models | Vision-language | XLA
Education
Regions
Countries
States
Cities
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