Principal Modeling and Simulation Engineer

🔥 0 minutes ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $140k - $190k / year

⏰ Full Time

🔴 Lead

👷🏻‍♀️ Engineer

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Berkshire Grey

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

📦 Logistics

🏭 Manufacturing

🤖 Artificial Intelligence

Logistics • Manufacturing • Artificial Intelligence

Berkshire Grey is an AI-enabled robotics company that designs, manufactures, and deploys integrated robotic hardware and software systems to automate warehouse and supply-chain tasks such as trailer unloading, robotic picking, put-wall consolidation, package sortation, and store replenishment. Their solutions combine computer vision, specialized grippers, and machine-learning software to increase throughput, reduce labor dependency, and integrate into existing enterprise operations for retailers, e-commerce, and logistics providers.

📋 Description

• Architect, design, and develop scalable simulation software systems for robotic and automation solutions • Lead development and integration of simulation environments using Emulate3D / Sim3D • Design and implement simulation frameworks, APIs, and services integrating with production robotic software systems • Apply MBSE principles to define system behavior, interfaces, and performance characteristics in 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 simulation and software engineering best practices • 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 engineering and product stakeholders

🎯 Requirements

• Bachelor’s degree in Computer Science, Robotics, Systems Engineering, or a closely related field • 8+ years of professional software development experience focused on modeling, simulation, or complex systems • Strong development expertise in Python and/or C++ • Ability to architect and deliver large-scale simulation and software systems • Ability to operate autonomously and drive projects from concept to production • Ability to define and communicate technical strategy, tradeoffs, and priorities • Ability to navigate and contribute to large, complex codebases • MVP mindset while scaling solutions from prototype to production • Proficiency in simulation software development and system modeling frameworks • Emulate3D or Sim3D (Rockwell Automation) required • Proficiency with NVIDIA Omniverse, system design and software architecture, asynchronous/concurrent programming, Git, Jira, Linux/Ubuntu, code reviews, testing methodologies, CI/CD, and software design patterns • Preferred: experience in robotics, automation, or material handling systems • Preferred: experience with distributed systems, high-performance simulation, robotics simulation, digital twins, virtual commissioning, MBSE, simulation APIs/SDKs, RESTful/gRPC services, data analysis and performance profiling, Docker/Kubernetes, MongoDB, and HIL/SIL testing