Research Engineer Scientist Simulation Dyna-Robotics
Overview
As a Research Engineer Scientist focused on Simulation you will build the simulated worlds that power Dyna`s loco-manipulation policies. Our robot is a wheeled mobile manipulator. Mobility and manipulation are tightly coupled so simulating one without the other misses what actually matters for our policies. You`ll own the pipeline end-to-end from real-to-sim reconstruction of the facility-scale environments our robots navigate through procedural scene generation to sim-based training data and evaluation for policies that jointly control base motion and arm manipulation. This is a founding-type ownership role that defines its own research agenda.
What You'll Do11
- 1Build a pipeline that reconstructs real facility-scale environments into simulation including full rooms and aisles not just tabletop scenes
- 2Procedurally generate navigable environments that stress-test loco-manipulation policies across the range of spaces our robots actually operate in
- 3Generate synthetic training data for policies that jointly reason about base positioning and arm manipulation such as approach angles reachability and obstacle-aware repositioning and feed real-world failure modes back into new sim scenarios
- 4Build simulation benchmarks that test the joint base+arm policy using VLA imitation learning or diffusion models as a whole not manipulation in isolation on a fixed base
- 5Render photorealistic visuals specifically to close the sim-to-real gap for vision-based loco-manipulation ensuring rendering fidelity is a first-class deliverable
- 6Partner with the AI Research team on where simulated data and evaluation most accelerate loco-manipulation policy development and with Data Ops on what`s worth capturing in the real world versus generating in sim
- 7Bring MS or PhD in CS Robotics Graphics or equivalent hands-on experience demonstrating depth in building simulation rendering systems
- 8Show hands-on experience with simulation stacks like MuJoCo Isaac Sim/Isaac Lab SAPIEN Omniverse or Blender for robotics or graphics
- 9Experience with procedural scene asset generation domain randomization or photorealistic rendering pipelines at scale not academic-scale one-off scenes
- 10Familiarity with training/evaluating manipulation or loco-manipulation policies such as imitation learning VLA diffusion or RL and how simulated data feeds into them
- 11Experience simulating mobile bases wheeled tracked or holonomic is a real plus
Requirements11
- 15+ years building ETL pipelines with Spark and Airflow
- 2Bold years and tech names
- 3Concrete statements about experience with specific tools and techniques
- 4Strong Python skills and comfort with PyTorch or JAX for model training and evaluation
- 5Senior-level ability to define your own research agenda and exercise independent judgment on where simulation adds the most leverage
- 6Bonus points for experience with real-to-sim-to-real pipelines such as 3D reconstruction NeRF Gaussian splatting or differentiable rendering
- 7Exposure to world-model or video-prediction research as a complement to classical physics simulation
- 8GPU-scale physics simulation experience with CUDA and large-batch parallel simulation
- 9Background simulating wheeled mobile manipulators such as Boston Dynamics Stretch warehouse or logistics robotics rather than legged humanoids or fixed-base arms
- 10Publications at conferences like CoRL RSS ICRA NeurIPS CVPR or SIGGRAPH
- 11Experience leading or mentoring within a small research team
Salary Insight
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