2027 Internship Simulation Engineer, Neural Rendering

We Love AI Jobs; San Francisco (CA); Presencial; USD 32 000 - 42 000; Tempo integral

Resumo da oferta

Bedrock Robotics in San Francisco invites you to join our Simulation team as an Internship Simulation Engineer focused on neural rendering for construction-site autonomy training. You’ll explore NeRF, 3D Gaussian splatting, and integrate learned rendering into our sim stack.

You’ll train on fleet site data, evaluate fidelity and render speed, build metrics, and document findings. This on-site internship pairs with engineers who’ve shipped autonomous systems for heavy equipment and aims to close

Qualificações

• Currently pursuing BS/MS/PhD in CS, graphics, robotics, or related field.
• Strong Python and PyTorch experience.
• Familiarity with neural rendering (NeRF, Gaussian splatting) and 3D graphics fundamentals.

Responsabilidades

• Research, implement, and benchmark neural rendering methods for construction-site imagery.
• Train models on fleet site data and evaluate fidelity, temporal consistency, and render speed.
• Integrate neural rendering outputs into the simulation pipeline so perception and planning teams can train and test against them.
• Build evaluation metrics to quantify realism and whether improvements transfer to autonomy performance.
• Identify failure modes: dust, deformable terrain, lighting challenges.

Conhecimentos

Python

PyTorch

neural rendering

NeRF

3D graphics

CUDA

OpenGL

Vulkan

Formação académica

BS/MS/PhD in CS/Robotics/Graphics

Ferramentas

Unreal

Unity

NVIDIA Isaac Sim

CUDA

Descrição da oferta de emprego

# 2027 Internship Simulation Engineer, Neural RenderingBedrock RoboticsSan Francisco, CAInternshipAI tools:PyTorchNeRFUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageYou’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 expertisePythonPyTorchneural renderingNeRF3D Gaussian splatting3D graphicssimulation 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 comparesCompared 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 descriptionJoin the team bringing advanced autonomy to the built worldAt 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 & TeamBefore 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 teams can train and test against them• Build evaluation metrics and tooling that quantify how well rendered scenes match real fleet data — and whether that improvement transfers to autonomy performance• Identify and address failure modes: dynamic objects, deformable terrain, dust, harsh lighting, and other construction-specific challenges• Document findings, limitations, and a recommendation on where neural rendering should (and shouldn't) replace traditional sim assetsWhat We're Looking ForRequired• Currently pursuing a BS, MS, or PhD in computer science, computer graphics, robotics, or a related field — or bringing equivalent research or industry experience• Strong Python and hands-on experience with PyTorch (or equivalent)• Solid understanding of 3D graphics fundamentals: rendering pipelines, scene representations, camera models, and coordinate systems• Familiarity with neural scene representations (NeRF, Gaussian splatting, neural radiance fields, or related methods)• Comfort with real-world data — construction sites are messy, dusty, and nothing like an indoor datasetPreferred• Published work or substantial project experience in neural rendering, novel view synthesis, or differentiable rendering• Experience with simulation engines (Unreal, Unity, NVIDIA Isaac Sim, or similar)• Background in autonomous vehicle simulation or synthetic data generation• Familiarity with C++ and GPU programming (CUDA, OpenGL, Vulkan)Bedrock Robotics is an Equal Opportunity EmployerWe’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.