Principal Modeling and Simulation Engineer

Berkshire Grey•Bedford, MA

1d•$140,000 - $170,000•Onsite

About The Position

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.

Requirements

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)

Nice To Haves

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
Experience with:
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

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.