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Location
In office
Seniority
Principal · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Apr 8, 2026.

Overview
Company
Impact
Profile match
Berkshire Grey builds robotic picking, sortation and mobile fulfilment systems for warehouses. Its technology combines artificial intelligence with custom gripping hardware, and open roles include warehouse automation project managers and electrical, mechanical and software engineers. The company is headquartered in Bedford, Massachusetts, United States.
Backed by NEA, Canaan

Minimum Qualifications:

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 inPython and/or C++.

Demonstrated ability to:

  • Architect and deliverlarge-scale simulation and software systems
  • Operate autonomously and drive projects from concept to production
  • Define and communicatetechnical strategy, tradeoffs, and priorities
  • Navigate and contribute tolarge, 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)

Preferred Qualifications:

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

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