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Contract Robotic Simulation Engineer Jobs in Boston, MA

Staff Simulation Platform Engineer

Boston, MA · On-site

$180K - $240K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Experience defining interface contracts, configuration schemas, or API boundaries in complex ... robotics) * Experience designing scenario-based validation systems * Familiarity with SIL/HIL ...

Staff Simulation Platform Engineer

Boston, MA · On-site

$180K - $240K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Experience defining interface contracts, configuration schemas, or API boundaries in complex ... robotics) * Experience designing scenario-based validation systems * Familiarity with SIL/HIL ...

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Showing results 1-20

Contract Robotic Simulation Engineer information

See Boston, MA salary details

$31.5K

$114.7K

$183.6K

How much do contract robotic simulation engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for contract robotic simulation engineer in Boston, MA is $114,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $138,000.00 per year, depending on experience, location, and employer.

What does a contract robotic simulation engineer do?

A Contract Robotic Simulation Engineer is responsible for designing, developing, and testing robotic systems using simulation software, typically on a temporary or project-based contract. They create virtual environments to model robot behavior, optimize workflows, and identify potential issues before physical implementation. This role often involves collaborating with engineers, programmers, and clients to ensure that robotic solutions meet project specifications. Contract engineers may work across various industries, such as manufacturing, automotive, or logistics, providing specialized expertise for specific projects. Their work helps reduce costs, improve efficiency, and minimize risks in robotic system deployment.

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

To thrive as a Contract Robotic Simulation Engineer, you need a solid background in robotics, mechanical or electrical engineering, and experience with simulation modeling, often supported by a relevant engineering degree. Proficiency with tools like ROS (Robot Operating System), MATLAB/Simulink, and simulation platforms such as Gazebo or V-REP, as well as familiarity with programming languages like Python or C++, is typically required. Strong problem-solving skills, adaptability, and effective communication make someone stand out in this role, especially when collaborating with cross-functional teams or clients. These competencies are crucial for developing accurate robotic simulations, ensuring system reliability, and meeting project goals efficiently in a contract-based environment.

What are some common challenges faced by contract robotic simulation engineers when working with diverse client requirements?

Contract Robotic Simulation Engineers often need to adapt quickly to different simulation platforms, robot models, and client-specific workflows. Each client may have unique expectations, software environments, and integration needs, requiring strong problem-solving skills and flexibility. Balancing multiple projects, ensuring accurate simulation results, and communicating technical findings effectively with both technical and non-technical stakeholders are key challenges in this role. Collaborating closely with client teams and staying updated with the latest simulation tools can help overcome these obstacles and deliver successful project outcomes.

What is the difference between Contract Robotic Simulation Engineer vs Contract Automation Test Engineer?

AspectContract Robotic Simulation EngineerContract Automation Test Engineer
CredentialsEngineering degree, robotics or simulation certificationsEngineering or computer science degree, testing certifications
Work EnvironmentRobotics labs, simulation platforms, development teamsSoftware testing environments, QA teams, development labs
Industry UsageRobotics, manufacturing, researchSoftware development, quality assurance, tech companies

The Contract Robotic Simulation Engineer focuses on developing and testing robotic systems within simulation environments, often working closely with hardware and control algorithms. In contrast, the Contract Automation Test Engineer primarily designs and executes automated tests for software applications. While both roles require technical expertise and testing skills, the Robotic Simulation Engineer emphasizes robotics and simulation tools, whereas the Automation Test Engineer concentrates on software testing automation.

What are the most commonly searched types of Robotic Simulation Engineer jobs in Boston, MA?

The most popular types of Robotic Simulation Engineer jobs in Boston, MA are:

What are popular job titles related to Contract Robotic Simulation Engineer jobs in Boston, MA?

For Contract Robotic Simulation Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Contract Robotic Simulation Engineer jobs in Boston, MA look for?

The top searched job categories for Contract Robotic Simulation Engineer jobs in Boston, MA are:

Principal Modeling and Simulation Engineer

Berkshire Grey

Bedford, MA • On-site

$140K - $190K/yr

Full-time

Re-posted 12 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.

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