Simulation Lead

Requirements

• Define strategy for running simulations across on-prem, cloud, or hybrid environments with attention to scale, reliability, and cost control
• Consolidate and standardize simulation methods to reduce duplication and complexity
• Lead development of ROS supported fleet simulation capabilities to simulate and validate complex robot fleet behavior and performance
• Design and implement full-stack integration testing through simulation to validate end-to-end system interactions
• Identify bottlenecks and improve performance including throughput, latency, and multi-robot coordination efficiency
• Design and implement distributed simulation setups for higher concurrent robot counts and realistic fleet scenarios
• Optimize simulation workflows for computational efficiency while maintaining physics accuracy and system fidelity
• Build usability features: real-time feedback, simple configuration updates, clear logs, and a live dashboard experience
• Provide early estimation signals and quality gates to catch issues before field deployment
• Ensure new product functions are accurately modeled and reflected in automated simulations
• Collaborate with engineering, product, and field stakeholders to prioritize scenarios and align simulation outputs to decision needs
• Balance scale, performance, and cost without defaulting to high-reliability tiers where not needed
  

• At least 7 years in simulation or closely related fields with hands-on ownership of simulation strategy and delivery
• Strong proficiency with ROS1/ROS2 and robotics simulation stacks including experience with fleet simulation and multi-agent systems
• Experience building distributed or parallelized simulation workflows and working with CI-triggered simulation runs
• Solid programming skills for simulation tooling and automation (Python, C++ preferred)
• Proven background in measuring and improving latency, throughput, and resource utilization in complex systems
• Ability to translate product requirements into representative scenarios, oracles, and pass-fail criteria
  

• Deep experience with ROS simulation tools and frameworks for multi-robot fleet scenarios
• Knowledge of full-stack integration testing through simulation environments
• Experience integrating simulation with dashboards and observability for live feedback
• Cost-aware design in cloud or hybrid environments including workload scheduling and caching
• Understanding of robotics navigation, mapping, and coordination algorithms in simulation contexts
• Experience with performance profiling and optimization of large-scale fleet simulations
• Comfort collaborating across product, platform, and field teams
  

Benefits

• Exciting and challenging problems are addressed using wide-ranging technologies and tools.
• Competitive salary
• Great team culture, peers and workplace