Boston Dynamics

Research Engineer, Atlas Physics Simulation for RL

Boston Dynamics$155K — $215K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • MS with 3 years of industry experience or PhD in Computer Science, Machine Learning, Robotics, or a related field
  • Detailed understanding of physics simulation, including contact solvers and mesh representations
  • Extensive experience with physics simulators such as MuJoCo, IsaacSim, and Warp
  • Experience with rendering pipelines for photorealistic images
  • Strong foundation in Python, C++, and modern numerical frameworks like PyTorch and Jax
  • Experience in algorithm design, debugging, and performance optimization

Responsibilities

  • Develop large scale physics simulations to train reinforcement learning agents
  • Evaluate and benchmark physics simulators, mesh representations, and rendering pipelines
  • Scale physics simulations to generate millions of samples per second
  • Build synthetic rendering pipelines for photorealistic image generation
  • Extend existing physics simulators to enhance simulation quality

Benefits

  • Direct access to cutting-edge robots and large-scale experimental infrastructure
  • Collaborative, mission-driven team where your ideas have real impact
  • Opportunity to help define what's possible in real-world robotics
Full Job Description
As a Research Engineer working on physics simulation on the Atlas Behavior Learning team, you will join a world-class team of engineers and scientists focused on creating groundbreaking mobile manipulation behaviors for humanoids.

We are investing in reinforcement learning and physics simulation as a key technology for achieving dexterous and robust whole-body manipulation that can be deployed in real-world environments.

In this role, you will be responsible for:
  • Develop large scale physics simulation that can efficiently train reinforcement learning agents
  • Evaluate and benchmark different physics simulators, mesh representations and rendering pipelines
  • Scale physics simulations to generate millions of samples per second
  • Build synthetic rendering pipelines to create photorealistic images
  • Extend existing physics simulators to improve simulation quality


We are looking for:
  • MS with 3 years of industry experience or PhD in Computer Science, Machine Learning, Robotics, or a related field
  • Detailed understanding physics simulation including contact solvers and mesh representations
  • Extensive experience with physics simulation including MuJoCo, IsaacSim and Warp
  • Experience with rendering pipelines to create photorealistic synthetic images
  • Strong foundation in Python, C++ and modern numerical frameworks (e.g., PyTorch and Jax)
  • Experience in algorithm design, debugging, and performance optimization


The ideal candidate has:
  • A PhD or equivalent research experience in reinforcement learning or robotic manipulation
  • Publications at top tier robotics venues including RSS, CoRL, Science Robotics, ICRA
  • Experience training RL policies in simulation for robots or simulated characters
  • Strong understanding of the advantages and disadvantages of gpu based simulators
  • Understanding of GPU and CPU compute architectures
  • Experience with heterogeneous compute clusters, kubernetes and docker


Why join us?
  • Direct access to cutting-edge robots and the infrastructure to run large-scale experiments
  • A collaborative, mission-driven team where your ideas have real impact
  • The chance to help define what's possible in real-world robotics


The pay range for this position is between $155,000.00 to $215,000.00 annually. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting. Boston Dynamics offers a generous Benefits package including medical, dental vision, 401(k), paid time off and a annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.

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About Boston Dynamics

Boston Dynamics is an American engineering and robotics design company founded in 1992 as a spin-off from the Massachusetts Institute of Technology. The company is best known for the development of BigDog, a quadruped robot designed for the U.S. military. Boston Dynamics has also developed a number of other robots, including Spot, a four-legged robot designed for indoor and outdoor operation, and Atlas, a humanoid robot designed for a variety of search and rescue tasks. In 2013, the company was acquired by Google X, a subsidiary of Alphabet Inc. In 2020, the company was acquired by Hyundai Motor Group. Boston Dynamics is headquartered in Waltham, Massachusetts.
Learn more about Boston Dynamics
Size
300 employees
Industry
Founded
1992

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