Onboard Infrastructure Engineer Intern - ML Inference
Bedrock Robotics · AI/ML/Data
- Location
- San Francisco, CA
- Metro
- San Francisco Bay Area
- Workplace
- On-site
- Level
- Intern
- Type
- Internship
- Posted
- 1 month ago
- Source
- Simplify internships list
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What the posting covers
Join the team bringing advanced autonomy to the built world
At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy…
About the Role & Team
The Onboard Infrastructure team builds the core engine of Bedrock’s autonomous heavy machinery — where safety, real-time control, and millisecond-level responsiveness are non-negotiable. As an Onboard Infrastructure Intern, you will bridge frontier AI and…
What You'll Do
Integrate open-source and proprietary LLM/VLA models into our onboard Rust middleware stack alongside existing perception, planning and control pipelines. Profile and optimize model execution using TensorRT, vLLM, ExecuTorch or custom edge inference runtimes…
Required
Currently pursuing a BS, MS, or PhD in Computer Science, Electrical/Computer engineering, Robotics or a related field. Proficiency in Rust or C++, with supporting experience in Pytorch or JAX. Solid foundation in GPU architectures, CUDA, or parallel…
Bonus Points
Practical experience deploying neural networks on constrained hardware using TensorRT, ONNXRuntime or ExecuTorch. Experience with LLM/VLA optimization techniques such as KV-cache management, FP8/INT4 quantization, continuous batching or speculative decoding.…
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