MTS, Simulation Infrastructure Engineer

Genesis Therapeutics
San Francisco, US
On-site

Who this role is best for

Best suited to mid-level engineers with simulation and robotics infrastructure experience working in the Bay Area.

Best fit for

  • Engineers skilled in scalable system design for robotics simulations.
    — “Design scalable systems for creating, running, and managing diverse simulation workloads”
  • Candidates with experience in robotics simulation tools and frameworks.
    — “Experience with robotics simulation tools such as genesis-world, Isaac Sim, MuJoCo”
  • Developers comfortable working across robotics, simulation, and ML teams.
    — “Ability to work across robotics, simulation, ML, and infrastructure teams”

Things to consider

  • Role involves close collaboration with multiple technical teams.
    — “Work closely with simulation engine, rendering, asset, AI, and robotics teams”
  • Expectation to build reusable frameworks and tooling.
    — “Develop reusable environment frameworks, task interfaces, and tooling”

How to stand out

  • Highlight specific examples of closed-loop or log-replay evaluation systems.
    — “Built closed-loop or log-replay evaluation at scale”
  • Demonstrate experience with sim-to-real gap reduction techniques.
    — “Tune physics, rendering, geometry, robot settings to reduce sim-to-real gap”
  • Showcase projects involving synthetic data or scene generation.
    — “Experience with synthetic data, scene generation, asset pipelines”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • built core simulation infrastructure
  • designed scalable simulation systems
  • improved simulation realism
Typical background
strong software engineering backgroundexperience in robotics or simulation systems

Skills & requirements

Required

PythonC++Software ArchitectureData PipelinesDistributed SystemsProduction EngineeringRobotics InfrastructureEvaluation PlatformsLarge-scale Experimentation Tools

Preferred

Closed-loop EvaluationLog-replay EvaluationRobotics Simulation ToolsSynthetic DataScene GenerationAsset PipelinesSim-to-realRobot ManipulationMobile ManipulationHumanoidsEmbodied Ai Systems

Stack & domain

PythonC++Software EngineeringSimulation SystemsRobotics InfrastructureEvaluation PlatformsLarge-scale Experimentation ToolsSoftware ArchitectureData PipelinesDistributed SystemsProduction Engineering PracticesRobotics Simulation ToolsSynthetic DataScene GenerationAsset PipelinesSim-to-realRobotics BenchmarksRobot ManipulationMobile ManipulationHumanoidsEmbodied Ai SystemsLeadershipCommunicationProblem-solvingTeamworkStrategic ThinkingSimulationRoboticsAIEngineering

About the role

Original posting from Genesis Therapeutics via Ashby

WHAT YOU’LL DO

INFRASTRUCTURE

  • 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 that make simulation workflows more reliable and observable.

SIMULATION ENVIRONMENT

  • Build sim-ready digital twin environments for real work assets, scenes, and tasks.
  • Tune physics, rendering, geometry, robot settings to reduce sim-to-real gap.
  • Work closely with simulation engine, rendering, asset, AI, and robotics teams to improve realism, coverage, and usefulness of simulation.

WHAT YOU’LL BRING

  • Strong software engineering skills in Python, C++, or similar language.
  • 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.

BONUS POINTS

  • Built closed-loop or log-replay evaluation at scale.
  • Experience with robotics simulation tools such as genesis-world, Isaac Sim, MuJoCo, Newton, Drake, Gazebo, or similar platforms.
  • Experience with synthetic data, scene generation, asset pipelines, sim-to-real, or robotics benchmarks.
  • Experience with robot manipulation, mobile manipulation, humanoids, or embodied AI systems.

Source: Genesis Therapeutics careers (Ashby)

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