Principal Modeling and Simulation Engineer

Principal Modeling And Simulation Engineer

Berkshire Grey is a leader in AI-powered robotics, delivering intelligent automation solutions for e-commerce, retail, and logistics. Our systems transform pick, pack, and sort operations through advanced robotics and software.

In the role of Principal Modeling and Simulation Engineer, you will lead the development of high-fidelity simulation platforms and digital twins that drive system design, validation, and deployment. This role blends advanced software engineering with modeling and simulation, enabling rapid development, testing, and optimization of complex robotic systems.

You will define and build the simulations that support system-level decision making, accelerate product development, and ensure robust performance in real-world environments.

Responsibilities

• Architect, design, and develop scalable simulation software systems for robotic and automation solutions.
• Lead the development and integration of sim environments using tools such as Emulate3D / Sim3D.
• Design and implement simulation frameworks, APIs, and services that integrate with production robotic software systems.
• Apply MBSE principles to define system behavior, interfaces, and performance characteristics within simulation environments.
• Build high-performance, reliable software for system-level modeling, validation, and optimization.
• Collaborate closely with robotics, perception, controls, and applications teams to ensure alignment between simulation and real-world system behavior.
• Develop tools and infrastructure for testing, debugging, and validating robotic systems in simulation.
• Provide technical leadership and mentorship, establishing best practices in simulation and software engineering.
• Influence engineering strategy and roadmap for modeling, simulation, and system architecture.
• Analyze system performance, identify risks, and develop mitigation strategies through simulation-driven insights.
• Communicate technical direction, progress, and tradeoffs to stakeholders across engineering and product teams.