1

Senior Robotic Simulation Engineer Jobs (NOW HIRING)

Required : • Bachelor's degree in Computer Science, Robotics, Engineering, or a related field ... on simulation (e.g., robotic digital twins, autonomous vehicles, UAV systems, or AAA video games ...

Simulation Engineer

San Carlos, CA · On-site

$119K - $253K/yr

Since its founding in 2015, 1X has been at the forefront of developing advanced humanoid robots ... As a Simulation Engineer at 1X Technologies, you will lead thermal and multi-body structural ...

next page

Showing results 1-20

Senior Robotic Simulation Engineer information

See salary details

$71.5K

$120.8K

$170.5K

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

As of Jun 12, 2026, the average yearly pay for senior robotic simulation engineer in the United States is $120,817.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,500.00 and $136,500.00 per year, depending on experience, location, and employer.

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, and why are they important?

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.

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.
More about Senior Robotic Simulation Engineer jobs
What cities are hiring for Senior Robotic Simulation Engineer jobs? Cities with the most Senior Robotic Simulation Engineer job openings:
What are the most commonly searched types of Robotic Simulation Engineer jobs? The most popular types of Robotic Simulation Engineer jobs are:
What states have the most Senior Robotic Simulation Engineer jobs? States with the most job openings for Senior Robotic Simulation Engineer jobs include:
Infographic showing various Senior Robotic Simulation Engineer job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $120,817 per year, or $58.1 per hour.
Principal Modeling and Simulation Engineer

Principal Modeling and Simulation Engineer

Berkshire Grey

Bedford, MA • Remote

Other

Posted 4 days ago


Job description

Salary: Base salary range $140k-$200k

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 blendssoftware 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:

Bachelors 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