Internship Simulation Engineer, Neural Rendering

# 2027 Internship Simulation Engineer, Neural Rendering Bedrock Robotics San Francisco, CAInternshipAI tools:

Py Torch Ne RFUpload your resume once and Scout applies for you Apply with Scout Share this job:

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You’ll bring neural rendering methods into Bedrock’s simulation pipeline to create more realistic construction-site imagery for autonomy training and testing. The work includes training on fleet data, measuring visual fidelity and downstream value, and documenting where learned rendering methods are useful.
* Internship* On-site
* Entry Level
* BS, MS, or PhD (in progress)### Skills and expertise

Python Py Torch neural  rendering

NeRF3D Gaussian splatting3D graphics simulation engines (Unreal, Unity, NVIDIGPU programming (CUDA, OpenGL, Vulkan)### Key responsibilities
* Research, implement, and benchmark neural rendering methods for construction-site simulation imagery.
* Train models on fleet data and evaluate visual fidelity, temporal consistency, and render speed.
* Integrate rendering outputs into simulation and measure their effect on autonomy performance.## How this job compares

Compared with 45 open intern machine learning jobs on October 10, 2026.Similar open jobs:
We Love AI Jobs lists 45 open intern machine learning jobs at 26 companies.

Remote work:
This job is on site. 2 of the 45 intern machine learning jobs (4%) are remote.

AI in this role:
High. AI is the core of the work: building, training or deploying AI systems. The role trains and benchmarks neural rendering models, including NeRF and 3D Gaussian splatting, and integrates them into simulation. Developing learned representations is central to the internship.## Full description

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 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.

About the Role & Team Before an autonomous excavator digs its first trench on a new site, it's already dug thousands in simulation. The Simulation team builds the virtual environments our autonomy stack trains and tests against — and the closer sim looks and behaves like the real world, the faster we move. Neural rendering is the next step: replacing hand-authored assets and approximations with learned representations that capture the visual complexity of real jobsites — dust, lighting, deformable terrain, heavy equipment in motion.

As our Simulation intern, you'll push neural rendering techniques into our sim pipeline and measure whether they actually close the visual gap that matters for downstream autonomy performance.

What You'll Do
• Research, implement, and benchmark neural rendering methods (NeRF, 3D Gaussian splatting, or related techniques) for generating realistic construction-site imagery within our simulation stack
• Train models on real-world site data captured by our fleet and evaluate visual fidelity, temporal consistency, and render speed
• Integrate neural rendering outputs into the simulation pipeline so perception and planning…