Senior Systems GPU Engineer – AI & Robotics
San Francisco, CA, United States
USD 189K-253K (estimate) Senior-level Full Time
Tasks
- Build real-time multi-threaded applications
- Collaborate with motion controls and perception teams
- Deploy and improve edge and cloud systems
- Design system architecture and interfaces
- Develop Linux kernel and device drivers
- Improve GPU model performance
- Integrate edge AI firmware OS and hardware
- Integrate multimodal ML models for robotics
- Lead end to end embodied intelligence projects
- Manage memory and GPU runtime containers
- Optimize machine learning models for limited resources
- Profile and debug GPU code
Perks/Benefits
- N/A
Skills/Tech-stack
Bash | C# | C++ | CUDA | Cloud infrastructure | Device Drivers | Docker | Edge AI | Efficient Fine Tuning | Fine Tuning | GPU Performance | GPU debugging | GPU performance profiling | Interprocess Communication | Knowledge Distillation | Kubernetes | Linux | Linux Kernel | Machine Learning | Memory Management | Model Quantization | Motion Control | Multi-threading | NVIDIA Nsight | NVIDIA Nsight Compute | Nsight Compute | Nsight Systems | Nvidia Container Toolkit | Nvidia NSight Systems | OpenCL | Parameter efficient fine-tuning | Path Planning | Perception | Performance Profiling | PyTorch | Python | QNX | Quantization aware training | Real Time | Real-time Systems | Robotics | Sensor fusion | TensorFlow | Time Systems | Yocto
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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