A robotics AI company in Boston is searching for experienced engineers to enhance multi-robot simulation and fleet orchestration. Ideal candidates possess 7+ years in robotics simulation, proficiency in Python and C++, and a background in multi-agent systems. Responsibilities include architecting simulation environments, task allocation, and integrating models for realistic behaviors. This position offers a chance to contribute to groundbreaking technology in dynamic teams, with a commitment to innovation and excellence.
Qualifications
7+ years hands-on experience building simulation environments for robotics or autonomous systems.
Experience with multi-robot or multi-agent systems: task allocation, distributed planning, swarm coordination, or fleet management.
Strong problem-solving skills and ability to thrive in fast-paced, interdisciplinary teams.
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 agent behavior.
Implement and evaluate fleet-level task allocation, coordination, and planning inside simulation.
Skills
Python
C++
Robotics simulation engines
Task allocation
Distributed planning
Swarm coordination
Fleet management
Problem-solving
Interdisciplinary collaboration
Education
MS or PhD in Computer Science, Robotics, Aerospace, or related field
Tools
MuJoCo
NVIDIA Isaac Sim
Genesis
Job description
A robotics AI company in Boston is searching for experienced engineers to enhance multi-robot simulation and fleet orchestration. Ideal candidates possess 7+ years in robotics simulation, proficiency in Python and C++, and a background in multi-agent systems. Responsibilities include architecting simulation environments, task allocation, and integrating models for realistic behaviors. This position offers a chance to contribute to groundbreaking technology in dynamic teams, with a commitment to innovation and excellence.