Senior Robotics Simulation Engineer - Multi-Agent Fleet

Field Ai; Boston (MA); On-site; USD 140,000 - 230,000; Full time

Job summary

FieldAI is seeking an experienced engineer to design and scale high-fidelity multi-robot simulation environments and fleet orchestration capabilities in Boston, enabling testing of coordination strategies before real-world deployment. You will work on physics, perception, and planning models, extending large Python/C++ codebases while ensuring reproducible experiments and actionable metrics.

The role requires 7+ years building robotics simulation environments, expertise with MuJoCo/NVIDIA Isaac

Qualifications

• 7+ years hands-on experience building simulation environments for robotics or autonomous systems.
• Solid understanding of robotics simulation and multiagent fundamentals.
• Proficiency in Python and C++ with ability to extend large codebases.
• Working knowledge of robotics simulation engines (MuJoCo, NVIDIA Isaac Sim, Genesis).
• Experience with multi-robot or multi-agent systems: task allocation, distributed planning, swarm coordination, or fleet management.
• Background in distributed systems or cloud-based simulation orchestration.

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.

Skills

Python

C++

multi-robot systems

distributed planning

fleet management

simulation environments

domain randomization

cloud-based orchestration

robotics middleware

problem solving

Education

MS or PhD in Computer Science, Robotics, Aerospace, or related field

Tools

MuJoCo

NVIDIA Isaac Sim

Genesis

ROS

Job description

FieldAI is seeking an experienced engineer to design and scale high-fidelity multi-robot simulation environments and fleet orchestration capabilities in Boston, enabling testing of coordination strategies before real-world deployment. You will work on physics, perception, and planning models, extending large Python/C++ codebases while ensuring reproducible experiments and actionable metrics.

The role requires 7+ years building robotics simulation environments, expertise with MuJoCo/NVIDIA Isaac