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Home Based Robotic Simulation Engineer information

What is a home based robotic simulation engineer?

Home Based Robotic Simulation Engineers are professionals who design, develop, and test robotic systems using simulation software, all while working remotely from their homes. They create virtual models of robotic equipment or processes to analyze performance, troubleshoot issues, and optimize designs before actual implementation. This role typically involves using specialized simulation tools, collaborating with cross-functional teams online, and ensuring that robotic solutions meet technical and operational requirements.

What are the key skills and qualifications needed to thrive as a home based robotic simulation engineer, and why are they important?

A Home Based Robotic Simulation Engineer typically requires a background in robotics, computer science, or engineering, with strong programming skills in languages such as Python or C++. Familiarity with simulation tools like ROS (Robot Operating System), Gazebo, or MATLAB Simulink, and relevant certifications in robotics or automation are highly valued. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help individuals excel in a virtual work environment. These competencies are crucial for developing accurate robotic simulations, collaborating with remote teams, and delivering innovative automation solutions.

How does a home based robotic simulation engineer typically collaborate with on-site engineering teams and clients?

A Home Based Robotic Simulation Engineer often works remotely but remains highly connected to both on-site engineering teams and clients through regular video meetings, screen sharing, and collaborative project management tools. They contribute by developing and testing robotic simulations, then sharing results and updates for review and feedback. Effective communication and documentation are crucial, as is the ability to troubleshoot issues remotely and align with the broader project goals. This collaborative approach ensures that simulation models are accurate and meet client specifications, while also supporting seamless integration with physical robotics systems.

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 are popular job titles related to Home Based Robotic Simulation Engineer jobs in Massachusetts?

For Home Based Robotic Simulation Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Home Based Robotic Simulation Engineer jobs in Massachusetts look for?

The top searched job categories for Home Based Robotic Simulation Engineer jobs in Massachusetts are:

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

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

Home Based Robotic Simulation Engineer jobs near you

Principal Modeling and Simulation Engineer

Berkshire Grey

Bedford, MA • On-site

$140K - $190K/yr

Full-time

Re-posted 8 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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