2027 Internship Simulation Engineer, Neural Rendering
Bedrock Robotics · San Francisco, CA
About this role
**2027 Internship — Simulation Engineer (Neural Rendering)** ## About Bedrock At Bedrock, we’re bringing advanced autonomy into the real world. Our team deploys autonomous systems on heavy construction equipment across the country—improving safety on job sites and accelerating schedules on critical infrastructure projects. ## About the Role & Team Before an autonomous excavator digs its first trench on a new site, it’s already trained and tested in simulation. The Simulation team builds virtual environments that our autonomy stack uses to train and evaluate performance. 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, and heavy equipment in motion. As a Simulation intern, you’ll push neural rendering techniques into our simulation pipeline and measure whether they close the visual gap that matters for downstream autonomy performance. ## What You’ll Do - Research, implement, and benchmark neural rendering methods (e.g., **NeRF**, **3D Gaussian splatting**, or related techniques) to generate 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 to quantify how well rendered scenes match real fleet data—and whether improvements transfer to autonomy performance. - Identify and address failure modes, including **dynamic objects**, **deformable terrain**, **dust**, **harsh lighting**, and other construction-specific challenges. - Document findings, limitations, and recommendations on where neural rendering should (and shouldn’t) replace traditional sim assets. ## What We’re Looking For **Required** - Currently pursuing a **BS, MS, or PhD** in computer science, computer graphics, robotics, or a related field (or equivalent research/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 (e.g., **NeRF**, **Gaussian splatting**, neural radiance fields, or related methods). - Comfort working with **real-world data** (construction sites are messy, dusty, and unlike indoor datasets). **Preferred** - 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). ## Equal Opportunity & Accommodations Bedrock Robotics is an **Equal Opportunity Employer** and is committed to building a diverse and inclusive workplace. 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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