Field AI
Senior Software Engineer, Multiagent Simulation
$125K–$170K
Boston, MA · On-site · Senior · Full-time · Posted Sep 9, 2026
- Experience
- 7+ years hands-on experience building simulation environments for robotics or autonomous systems.
- Education
- MS or PhD in Computer Science, Robotics, Aerospace, or a related field (or equivalent industry experience).
About the job
Builds and validates multi-robot simulation and fleet orchestration systems to help robots coordinate reliably before real-world deployment.
What you'll do
- Develop realistic, scalable multi-robot simulations and integrate physics, perception, and communications models.
- Implement and evaluate fleet task allocation, coordination, and planning; build tools for large-scale orchestration experiments.
- Calibrate simulations against field telemetry and develop scenario generation, benchmarks, metrics, and reproducible experiment infrastructure.
What they ask for
- Proficiency in Python and C++; ability to read and extend large codebases.
- Working knowledge of robotics simulation engines.
- Experience with multi-robot or multi-agent systems.
- Familiarity with standard robotics middleware.
Nice to have
- Publications or open-source contributions in multiagent systems, multi-robot planning, or fleet coordination.
- Experience with domain randomization, sim-to-real transfer, distributed systems, cloud-based simulation orchestration, or real robot fleets.
Pay
USD 125,000–170,000 (per-year-salary) (base salary)
Tools
Python, C++, MuJoCo, NVIDIA Isaac Sim, Genesis
AI focus
Develops and evaluates multi-agent robotic simulation and fleet orchestration, including coordination and planning, with a focus on reliable field deployment and reducing the sim-to-real gap.
Model-written summary · the original posting is authoritative