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Battery Modeling Simulation Engineer Jobs in Massachusetts

Draper

Principal Simulation Engineer

Cambridge, MA · On-site

$95K - $245K/yr

A Principal System Modeling & Simulation Engineer designs, develops, validates, and maintains dynamic simulations and infrastructure for rapid assessment, integration, and test of complex systems.

Draper

Principal Simulation Engineer

Cambridge, MA · On-site

$95K - $245K/yr

A Principal System Modeling & Simulation Engineer designs, develops, validates, and maintains dynamic simulations and infrastructure for rapid assessment, integration, and test of complex systems.

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Battery Modeling Simulation Engineer information

What is a Battery Modeling Simulation Engineer job?

A Battery Modeling Simulation Engineer develops and implements mathematical models to simulate battery performance, behavior, and lifespan. They use software tools and simulations to analyze battery efficiency, thermal management, and electrochemical properties. Their work helps optimize battery designs for applications like electric vehicles, renewable energy storage, and consumer electronics. This role requires expertise in physics, electrochemistry, and computational modeling to improve battery reliability and performance.

What are some common challenges faced by Battery Modeling Simulation Engineers, and how are they addressed?

Battery Modeling Simulation Engineers often work with complex, evolving battery technologies and must accurately simulate real-world behaviors—challenges that require staying up-to-date with the latest research and adapting models accordingly. They may encounter difficulties with unavailable or incomplete data, thermal management, and integrating simulation results into practical applications. To overcome these challenges, engineers collaborate closely with chemists, experimentalists, and software developers, regularly validate models with lab results, and participate in continuous learning through workshops or trainings. This dynamic environment encourages innovative problem-solving and provides valuable professional growth opportunities.

What are the key skills and qualifications needed to thrive in the Battery Modeling Simulation Engineer position, and why are they important?

To thrive as a Battery Modeling Simulation Engineer, you should have a solid background in electrochemistry, physics, and computational modeling, typically supported by a degree in engineering or a related field. Proficiency in simulation tools such as COMSOL, MATLAB, or ANSYS, and familiarity with battery management systems and data analysis software, is essential. Strong problem-solving skills, attention to detail, and effective collaboration and communication abilities are highly valued in this role. These competencies are crucial for accurately modeling battery behaviors, identifying performance improvements, and working efficiently with multidisciplinary teams.

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Battery Modeling Simulation Engineer jobs near you
Principal Modeling and Simulation Engineer

Principal Modeling and Simulation Engineer

Berkshire Grey

Bedford, MA • On-site

$140K - $200K/yr

Full-time

Posted yesterday

Job description

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 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 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 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.

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.
Software development experience 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
  • 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 in robotics, automation, industrial 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

6111-2602JK

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