Experience inrobotics, 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
About The Job
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 ofPrincipal Modeling and Simulation Engineer, you will lead the development ofhigh-fidelity simulation platforms and digital twinsthat drive system design, validation, and deployment. This role blendsadvanced 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 developscalable simulation software systemsfor robotic and automation solutions.
Lead the development and integration ofsim environmentsusing tools such asEmulate3D / Sim3D.
Design and implementsimulation frameworks, APIs, and servicesthat integrate with production robotic software systems.
ApplyMBSE principlesto define system behavior, interfaces, and performance characteristics within simulation environments.
Build high-performance, reliable software forsystem-level modeling, validation, and optimization.
Collaborate closely withrobotics, perception, controls, and applications teamsto ensure alignment between simulation and real-world system behavior.
Develop tools and infrastructure fortesting, debugging, and validating robotic systems in simulation.
Providetechnical leadership and mentorship, establishing best practices in simulation and software engineering.
Influenceengineering strategy and roadmapfor 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.
6111-2603JK
Salary: Base salary range $140k-$190k Originally posted on Himalayas
