Principal Modeling and Simulation Engineer
No salary listed
Expert
Bachelor's
Bedford, MA, USA
Remote
Software EngineeringBackend Engineering
About the job
Requirements
- A bachelor's degree in Computer Science, Robotics, Systems Engineering, or a closely related field is required.
- At least 8 years of professional software development experience focused on modeling, simulation, or complex systems is required.
- Strong development expertise in Python and/or C++ is required.
- Demonstrated ability to architect and deliver large-scale simulation and software systems is required.
- Demonstrated ability to operate autonomously and drive projects from concept to production is required.
- Demonstrated ability to define and communicate technical strategy, tradeoffs, and priorities is required.
- Demonstrated ability to navigate and contribute to large, complex codebases is required.
- Demonstrated ability to apply an MVP mindset while scaling solutions from prototype to production is required.
- Proficiency in simulation software development and system modeling frameworks is required.
- Proficiency in Emulate3D or Sim3D by Rockwell Automation is required.
- Proficiency in NVIDIA Omniverse is required.
- Proficiency in system design and software architecture is required.
- Proficiency in asynchronous and concurrent programming is required.
- Proficiency in Git, Jira, and modern development workflows is required.
- Proficiency in Linux and Ubuntu environments is required.
- Proficiency in code reviews, testing methodologies, and CI/CD practices is required.
- Proficiency in modular, scalable, and fault-tolerant software design patterns is required.
Responsibilities
- Architect, design, and develop scalable simulation software systems for robotic and automation solutions.
- Lead the development and integration of simulation environments using tools such as Emulate3D or 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 with robotics, perception, controls, and applications teams to align simulation with 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.
Desired Qualifications
- Experience in robotics, automation, or material handling systems is preferred.
- Experience with distributed systems and high-performance simulation environments is preferred.
- Experience with robotics simulation, digital twins, and virtual commissioning is preferred.
- Experience with MBSE tools and methodologies is preferred.
- Experience developing APIs and SDKs for simulation platforms is preferred.
- Experience with RESTful and/or gRPC services is preferred.
- Experience with data analysis and performance profiling using Python, pandas, or logging frameworks is preferred.
- Experience with containerization and orchestration using Docker and Kubernetes is preferred.
- Experience with NoSQL databases such as MongoDB is preferred.
- Experience with hardware-in-the-loop (HIL) or software-in-the-loop (SIL) testing is preferred.
About the company
Berkshire Grey provides intelligent robotic automation for supply chain tasks in retail, eCommerce, and logistics. It automates identifying, picking, sorting, packing, and moving items in warehouses with modular, scalable hardware and software. It differentiates itself through configurable modular systems and real-world deployments like FedEx Ground, aiming to cut costs and raise throughput (potentially up to 70% cost reduction and 25–50% throughput gains). Its goal is to transform warehouses by replacing or augmenting manual labor to improve efficiency and speed in fulfillment.
Company Size
201-500
Company Stage
IPO
Headquarters
Bedford, Massachusetts
Founded
2013
Get referred to Berkshire Grey
See people who can refer or advise you
Simplify's Take
What believers are saying
- June 2026 Haarlem expansion targets EMEA demand for physical AI.
- Kardex live demo events in April 2025 and 2026 show customer pull.
- Revelio estimated 681 employees in Q1 2026, signaling operating continuity.
What critics are saying
- SoftBank sold 71.9% in July 2023, and minority liquidity disappeared.
- Delaware settlement approval on January 2, 2026 leaves merger litigation baggage.
- If SoftBank deprioritizes robotics, Berkshire Grey becomes an orphaned subsidiary with no independent exit.
What makes Berkshire Grey unique
- SoftBank wholly owns Berkshire Grey, backing long-horizon robotics deployments.
- Haarlem center validates SKU testing, training, and regional support near Schiphol.
- Kardex AutoStore integration delivers one-touch robotic picking from bins.
Help us improve and share your feedback! Did you find this helpful?
Benefits
- Professional Development Budget