Senior Multi-Agent Simulation Engineer - Fleet Robotics

FieldAI; Boston (MA); On-site; USD 125,000 - 170,000; Full time

Benefits offered by this job

Equity participation

Benefits package

Job summary

FieldAI is building risk-aware, field-ready AI systems for robotics. The team is based in Boston and focuses on scalable multi-robot simulation to validate fleet orchestration strategies before deployment.

The role emphasizes realistic cyber-physical emulation, domain knowledge in robotics, and delivering maintainable, scalable code. You will contribute to a fast-paced, interdisciplinary team, translating research into deployable software with strong emphasis on fidelity, performance, and

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.

Responsibilities

• Architect high-fidelity multi-robot simulation scenes and scale from single-agent tests to fleet scenarios.
• Integrate physics, perception, and comms models for realistic fleet-scale agent behavior.
• Implement and evaluate fleet-level task allocation, coordination, and planning inside simulation.
• Build tooling to run thousands of orchestration experiments and profile performance (latency, heterogeneity, environment complexity).
• Calibrate simulation to real-world telemetry with field teams and reduce sim-to-real gap.

Skills

Python

C++

Robotics middleware

Multi-robot systems

Simulation environments

Debugging/maintainable code

Education

MS or PhD in Computer Science/Robotics/related field

Tools

MuJoCo

NVIDIA Isaac Sim

Genesis

Job description

FieldAI is building risk-aware, field-ready AI systems for robotics. The team is based in Boston and focuses on scalable multi-robot simulation to validate fleet orchestration strategies before deployment.

The role emphasizes realistic cyber-physical emulation, domain knowledge in robotics, and delivering maintainable, scalable code. You will contribute to a fast-paced, interdisciplinary team, translating research into deployable software with strong emphasis on fidelity, performance, and