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Senior Software Engineer, Multiagent Simulation

FieldAI· Engineering
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Boston, MA$125k - $170kFull-timePosted 1mo ago

About the role

Senior Software Engineer focused on multi-robot simulation and fleet orchestration to validate fleet strategies at scale, bridging robotics simulation with real-world deployment.

Responsibilities

  • Architect high-fidelity multi-robot simulation scenes (terrain, sensors, dynamic obstacles) and scale from single-agent tests to fleet scenarios.
  • Integrate physics, perception, and comms models so agents behave realistically at fleet scale.
  • Implement and evaluate fleet-level task allocation, coordination, and planning inside simulation.
  • Build declarative mission tooling to run thousands of orchestration experiments and profile performance across latency, heterogeneity, and environment complexity.
  • Calibrate simulation to real-world telemetry with field teams and reduce the sim-to-real gap.
  • Build domain randomization, scenario generation, and automated regression/benchmark gates for fleet orchestration releases.
  • Design logging, metrics, and visualization so every run yields actionable data and fleet KPIs (throughput, collisions, comms overhead, idle time).
  • Maintain reproducible experiment infrastructure with versioned scenes, configs, and results.
  • Partner with perception, planning, learning, DevOps, and infrastructure teams to run large-scale simulation and raise standards for fidelity, coverage, and release quality.

Qualifications

  • MS or PhD in Computer Science, Robotics, Aerospace, or a related field (or equivalent industry experience).
  • 7+ years hands-on experience building simulation environments for robotics or autonomous systems.
  • Proficiency in Python and C++; comfort reading and extending large codebases.
  • Working knowledge of robotics simulation engines (e.g., MuJoCo, NVIDIA Isaac Sim, Genesis).
  • Experience with multi-robot or multi-agent systems: task allocation, distributed planning, swarm coordination, or fleet management.
  • Familiarity with standard robotics middleware.
  • Strong problem-solving skills and ability to thrive in fast-paced, interdisciplinary teams.
  • Ability to translate research into practical, field-deployable systems.

Skills

Required:PythonC++Robotics simulation enginesMulti-robot / multi-agent systems

Benefits

  • comprehensive benefits
  • equity participation
  • opportunity to contribute to cutting-edge advancements in AI and robotics
Last updated Oct 22, 2026. Interested? Apply on the company site.

About FieldAI

Robot intelligence built for the real-world.

FieldAI is the leader in deploying general-purpose robots in unstructured environments, providing a universal brain that works across many robots, and many tasks.

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