Principal Modeling and Simulation Engineer

Bachelor’s degree in Computer Science, Robotics, Systems Engineering, or a closely related field.

8+ years of professional experience in software development with a focus on modeling, simulation, or complex systems.

Strong development expertise in Python and/or C++ .

Demonstrated ability to:

• Architect and deliver large-scale simulation and software systems
• Operate autonomously and drive projects from concept to production
• Define and communicate technical strategy, tradeoffs, and priorities
• Navigate and contribute to large, complex codebases
• Apply an MVP mindset while scaling solutions from prototype to production

Proficient in:

• Simulation software development and system modeling frameworks
• Emulate3D or Sim3D (Rockwell Automation) (required)
• Nividia Omniverse
• System design and software architecture
• Asynchronous / concurrent programming
• Git, Jira, and modern development workflows
• Linux / Ubuntu environments
• Code reviews, testing methodologies, and CI/CD practices
• Software design patterns (modular, scalable, fault-tolerant systems)

Experience in robotics, automation, or material handling systems .

Strong experience in one or more of the following:

• Distributed systems and high-performance simulation environments
• Robotics simulation, digital twins, and virtual commissioning
• MBSE tools and methodologies
• API and SDK development for simulation platforms
• RESTful and/or gRPC services

• Data analysis and performance profiling (Python, pandas, logging frameworks)
• Containerization and orchestration (Docker, Kubernetes)
• NoSQL databases (e.g., MongoDB)
• Hardware-in-the-loop (HIL) or software-in-the-loop (SIL) testing

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.

• 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.