Senior Software Engineer (Multiagent Simulation)

Location: Boston, MA, United States; Workplace: On-site

Salary: $125,000–$170,000 per year

Company

hirify.global develops risk-aware, reliable AI systems for robots operating in unstructured real-world environments, combining research with field deployment.

What you will do

• Architect high-fidelity multi-robot simulation scenes with terrain, sensors, and dynamic obstacles.
• Integrate physics, perception, and communications models for realistic fleet-scale behavior.
• Implement and evaluate task allocation, coordination, and planning strategies for multi-robot fleets.
• Build mission tooling, experiment infrastructure, logging, metrics, visualizations, and performance profiling for large-scale orchestration experiments.
• Calibrate simulations against real-world telemetry and reduce the sim-to-real gap.
• Develop domain randomization, scenario generation, regression testing, and benchmark gates for fleet orchestration releases.

Requirements

• MS or PhD in Computer Science, Robotics, Aerospace, or a related field, or equivalent industry experience.
• 7+ years of hands-on experience building simulation environments for robotics or autonomous systems.
• Proficiency in Python and C++, with the ability to read and extend large codebases.
• Working knowledge of robotics simulation engines such as MuJoCo, NVIDIA Isaac Sim, or Genesis.
• Experience with multi-robot or multi-agent systems, including task allocation, distributed planning, swarm coordination, or fleet management.
• Familiarity with standard robotics middleware and the ability to translate research into practical, field-deployable systems.

Nice to have

• Publications or open-source contributions in multi-agent systems, multi-robot planning, or fleet coordination.
• Experience with domain randomization, synthetic data generation, or sim-to-real transfer at scale.
• Background in distributed systems or cloud-based simulation orchestration.
• Hands-on experience with real robot fleets in field environments such as construction, mining, logistics, or defense.

Culture & Benefits

• Comprehensive benefits and equity participation.
• Collaboration with research and engineering teams across the United States and globally.
• Work on AI and robotics systems designed for real-world deployment, with an emphasis on explainability and safety.
• Inclusive workplace with equal-opportunity employment practices.