Internship 2027 Onboard Infrastructure Engineer, ML Inference
Bedrock Robotics Inc · CA, US
13 days agoImpress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Internship 2027 Onboard Infrastructure Engineer, ML Inference role.
Rezi rewrites your resume against Bedrock Robotics Inc's job description. Free.
Tailor your resume to this Internship 2027 Onboard Infrastructure Engineer, ML Inference role.
Rezi rewrites your resume against Bedrock Robotics Inc's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Internship 2027 Onboard Infrastructure Engineer, ML Inference posting at Bedrock Robotics Inc — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Internship 2027 Onboard Infrastructure Engineer, ML Inference posting at Bedrock Robotics Inc — free, in seconds.
About the Role
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 real-time execution by integrating Large Language Models (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.
Responsibilities
- 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 test sites.
Requirements
- 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.
- 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.
Skills
- Rust
- C++
- Pytorch
- JAX
- GPU architectures
- CUDA
- Parallel computing
- Multithreading
- OS scheduling
- GPU scheduling
- Memory management
- Asynchronous programming
- IPC
- TensorRT
- ONNXRuntime
- ExecuTorch
- LLM optimization
- VLA optimization
- Multi-modal models
- VLA models
- Robotics frameworks
Location
- Onsite
Work Type
- Internship
Experience Level
- Intern
Education Level
- BS
- MS
- PhD
About the Company
- 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.
- We're not here debating the future of AI. We're deploying it in the real world.
- 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.
- You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch.
- If you're ready to do meaningful work on hard problems, we'd love to have you join us.
Equal Opportunity
- Bedrock Robotics is an Equal Opportunity Employer
- We’re committed to building a diverse and inclusive workplace.
- We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
- We want our hiring process to be accessible to everyone.
- If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.