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Senior Robotic Simulation Engineer information

What does a senior robotic simulation engineer do?

A Senior Robotic Simulation Engineer is responsible for designing, developing, and optimizing simulation models for robotic systems. They use advanced software tools to create virtual environments that test and validate robot behaviors before deployment in real-world settings. Their work helps to identify potential issues, improve system performance, and reduce development costs and risks. Additionally, they often collaborate with cross-functional teams to integrate simulations with hardware and software development processes.

What are the key skills and qualifications needed to thrive as a senior robotic simulation engineer?

To thrive as a Senior Robotic Simulation Engineer, you need advanced knowledge of robotics, simulation software, algorithm development, and a relevant engineering degree. Expertise in technical tools such as ROS, Gazebo, MATLAB/Simulink, and experience with programming languages like C++ or Python is typically required. Strong problem-solving, communication, and project management skills help you collaborate effectively and drive innovative solutions. These competencies are crucial for designing, testing, and refining robotic systems in complex environments to ensure reliability and performance.

Are senior robotic simulation engineers in demand?

Senior robotic simulation engineers are in high demand due to the growing use of robotics in manufacturing, research, and automation industries. Their expertise in simulation tools like Gazebo, ROS, and MATLAB is valuable for developing and testing robotic systems, leading to strong job prospects and competitive salaries.

What is the difference between Senior Robotic Simulation Engineer vs Robotic Software Developer?

AspectSenior Robotic Simulation EngineerRobotic Software Developer
CredentialsBachelor's or Master's in Robotics, Computer Science, or related fields; experience with simulation toolsBachelor's or higher in Computer Science or Software Engineering; programming skills
Work EnvironmentResearch labs, robotics companies, simulation platformsSoftware development firms, robotics companies, tech startups
Industry UsagePrimarily in robotics, automation, and simulation industriesBroadly in robotics, automation, and software development sectors

The main difference is that Senior Robotic Simulation Engineers focus on developing and testing virtual models of robots to optimize performance, while Robotic Software Developers primarily write and maintain software applications for robots. The simulation engineers work heavily with simulation tools and modeling, whereas software developers focus on coding and software architecture. Both roles require programming skills and industry knowledge, but their core responsibilities differ in scope and focus.

What are some common challenges faced by senior robotic simulation engineers, and how are they typically addressed?

Senior Robotic Simulation Engineers often encounter challenges such as ensuring simulation accuracy, integrating real-world physics, and maintaining compatibility with both hardware and software updates. Addressing these requires continuous collaboration with cross-functional teams—including software developers, roboticists, and hardware engineers—to validate models and refine simulation parameters. Staying current with the latest simulation tools and regularly updating test environments also help mitigate potential discrepancies between simulated and real-world robot performance, ensuring reliable outcomes for deployment.

What are the most commonly searched types of Robotic Simulation Engineer jobs in Massachusetts?

The most popular types of Robotic Simulation Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Senior Robotic Simulation Engineer jobs?

Cities in Massachusetts with the most Senior Robotic Simulation Engineer job openings:

Senior Robotic Simulation Engineer jobs near you

Principal Modeling and Simulation Engineer

Berkshire Grey

Bedford, MA • On-site

$140K - $190K/yr

Full-time

Re-posted 9 days ago

Job description

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 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
  • 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 in robotics, 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 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 advanced 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.

6111-2603JK

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