Moonlake AI

Moonlake AI

Member of Technical Staff - Simulation Engineer

San Francisco, CA · Staff+

Sponsorship not specifiedDetected 390 days ago
PythonC++Machine LearningA/B TestingRoboticsMechanical DesignResearchProblem Solving

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 9 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • This is a highly hands-on software engineering role for builders who enjoy solving challenging problems across robotics, simulation, physics, and distributed systems.

Responsibilities

  • Design and develop simulation environments for robotics training and evaluation
  • Build simulation systems supporting perception, navigation, manipulation, and embodied AI tasks
  • Build reusable tooling that makes simulation development efficient and reliable
  • Partner with robotics and AI teams to build environments for training and evaluating intelligent systems
  • Develop infrastructure supporting large-scale synthetic data generation
  • Create simulation benchmarks for evaluating robotics models
  • Develop production-quality software supporting simulation systems
  • Build tools that improve simulation reliability, testing, and scalability

Requirements

  • Experience with robotics simulators such as Isaac Sim, MuJoCo, PyBullet, Gazebo, Drake, or equivalent
  • Experience writing reliable, maintainable, and well-tested code

Nice to have

  • Experience with NVIDIA Isaac Sim or Omniverse
  • Experience with domain randomization or procedural environment generation
  • Familiarity with ROS2 and modern robotics software stacks
  • Experience optimizing simulation performance or GPU-accelerated simulation
  • MS or PhD in Robotics, Computer Science, Mechanical Engineering, or a related field
  • The quality of our world models, robotics systems, and AI infrastructure depends on simulation environments that are physically accurate, computationally efficient, and scalable.

Benefits

  • Develop scalable simulation workflows that enable rapid experimentation and robot learning
  • Optimize simulation environments for machine learning workflows

Company info

  • We are committed to being an on-site, in-person team currently based in San Francisco.

This listing is sourced directly from Moonlake AI's careers page and normalized into a canonical job model.