Simulation Environment

Genesis AI
United States
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureSkills: ["Collaboration","Problem-solving"]

Build and scale simulation-centered infrastructure to accelerate robotics model development, evaluation, and iteration. Design systems for creating, running, and managing diverse simulation workloads, along with reusable environment frameworks and tooling for reliable, observable workflows. Create sim-ready digital twin environments, tune physics and rendering to reduce sim-to-real gaps, and partner with simulation engine, rendering, asset, AI, and robotics teams to improve realism and coverage.

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FursaFursa
Genesis AI
Genesis AI
1 month ago

Simulation Environment

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build and scale simulation-centered infrastructure to accelerate robotics model development, evaluation, and iteration. Design systems for creating, running, and managing diverse simulation workloads, along with reusable environment frameworks and tooling for reliable, observable workflows. Create sim-ready digital twin environments, tune physics and rendering to reduce sim-to-real gaps, and partner with simulation engine, rendering, asset, AI, and robotics teams to improve realism and coverage.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

  • •Build core simulation-centered infrastructure for robotics model development, evaluation, and iteration.
  • •Design scalable systems for creating, running, and managing diverse simulation workloads across tasks, environments, and robots.
  • •Develop reusable environment frameworks, task interfaces, and tooling to improve simulation workflow reliability and observability.
  • •Build sim-ready digital twin environments for real work assets, scenes, and tasks.
  • •Tune physics, rendering, geometry, and robot settings to reduce sim-to-real gaps while partnering with engine, rendering, asset, AI, and robotics teams.

Key Requirements

  • •Strong software engineering skills in Python, C++, or similar languages.
  • •Experience building simulation systems, robotics infrastructure, evaluation platforms, or large-scale experimentation tools.
  • •Strong understanding of software architecture, data pipelines, distributed systems, and production engineering practices.
  • •Ability to work across robotics, simulation, ML, and infrastructure teams to turn ambiguous needs into robust systems.
Experience:RoboticsSimulationDistributed systemsMLDigital twins
Skills:CollaborationProblem-solving
Tech Stack:PythonC++Genesis-worldIsaac SimMuJoCoNewtonDrakeGazeboDigital twinSimulation engineRenderingAsset pipelines

Company Brief

Genesis AI
Genesis AI is a global physical AI research lab and full‑stack robotics company building a universal robotics foundation model and horizontal platform to enable general‑purpose robots and scale automation of physical labor.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Paris, France
Founded: 2024
WebsiteLinkedIn