About the role#
The Onboard Infrastructure team builds the engine for our autonomous heavy machinery. We prioritize safety, real-time control, and millisecond-level responsiveness. As an intern, you will bridge frontier AI and real-time execution by integrating Large Language Models and Vision-Language-Action models into our core stack. You will ensure these large models run within strict, deterministic deadline budgets on edge compute hardware.
What you'll do#
- Integrate open-source and proprietary LLM/VLA models into our onboard Rust middleware stack.
- Profile and optimize model execution using TensorRT, vLLM, ExecuTorch, or custom edge inference runtimes for NVIDIA Jetson Thor.
- Streamline sensor tokenization for cameras and LiDAR to feed real-time streams directly to models.
- Identify and eliminate bottlenecks across memory bandwidth, compute, and IPC using tools like Nsight Systems, Nsight Compute, and eBPF.
- Validate your performance optimizations directly on heavy autonomous machinery at our test sites.
What you'll need#
- Currently pursuing a BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Robotics, or a related field.
- Proficiency in Rust or C++.
- Experience with Pytorch or JAX.
- A solid foundation in GPU architectures, CUDA, or parallel computing.
- Understanding of modern systems concepts including multithreading, OS and GPU scheduling, memory management, asynchronous programming, and IPC.
- Practical experience deploying neural networks on constrained hardware using TensorRT, ONNXRuntime, or ExecuTorch is preferred.
- Familiarity with LLM/VLA optimization techniques like KV-cache management, FP8/INT4 quantization, continuous batching, or speculative decoding is a plus.
- Exposure to multi-modal/VLA models or robotics frameworks is also preferred.
Location & details#
- Location: San Francisco, California.
- Term: Rolling.
- Work Modality: On-site.
- Employment Type: Full-time intern.
- Compensation: Paid position.
About Bedrock Robotics
Bedrock Robotics develops autonomous technology for the construction industry. The company modifies heavy machinery to perform tasks with increased safety and precision. It focuses on infrastructure projects like housing, data centers, and energy facilities. Founded in 2024, the business operates out of San Francisco with 160 employees.
How to get in at Bedrock Robotics
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