Internship 2027 Onboard Infrastructure Engineer, ML Inference
Bedrock Robotics · San Francisco, CA
About this role
## Internship 2027 — Onboard Infrastructure Engineer (ML Inference) ### About Bedrock 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 construction equipment across the country—improving safety on job sites and accelerating schedules on critical infrastructure projects. In just two years, we’ve raised $350M and achieved the first fully autonomous excavator deployments in construction. This is where algorithms meet steel-toed boots. ### 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’ll bridge frontier AI and real-time execution by integrating **LLMs** and **Vision-Language-Action (VLA)** models into our core stack, ensuring multi-billion parameter multi-modal models run within strict, deterministic deadline budgets on edge compute. --- ## 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 tailored for **NVIDIA Jetson Thor**. - Streamline sensor tokenization (cameras, LiDAR) to feed real-time streams directly to models without latency spikes in vehicle control loops. - Identify and eliminate bottlenecks across **memory bandwidth**, **compute**, and **IPC** using tools like **Nsight Systems**, **Nsight Compute**, and **eBPF**. - Validate performance optimizations directly on heavy autonomous machinery at our test sites. --- ## What We’re Looking For ### 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 computing. - Understanding of modern systems concepts: **multithreading**, **OS and GPU scheduling**, **memory management**, **asynchronous programming**, and **IPC**. ### 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**. - Exposure to multi-modal/VLA models or robotics frameworks. --- ## Equal Opportunity Employer Bedrock Robotics is an **Equal Opportunity Employer** and is committed to building a diverse and inclusive workplace. ## Reasonable Accommodations If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
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