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Senior Robotic Simulation Engineer Jobs (NOW HIRING)

Join us as a Simulation Engineer in Holland, MI or Lake Orion, MI as we work together to bring ... Perform robotic reach & cycle time studies. * Perform system throughput studies. * Work with the ...

Senior GNC Simulation Engineer

Denver, CO · On-site

$120K - $165K/yr

Senior GNC Simulation Engineer - Build the Flight Simulation Environment for Next-Generation ... Experience supporting spacecraft, autonomous vehicles, robotics, UAVs, or other mission-critical ...

Position Summary The Senior Robotics Engineer will be responsible for programming, commissioning ... Validate robotic models and simulation accuracy. * Lead robotics projects from design through ...

Position Summary The Senior Robotics Engineer will be responsible for programming, commissioning ... Validate robotic models and simulation accuracy. * Lead robotics projects from design through ...

Robotics Engineer

Lake Orion, MI · On-site

$120 - $160/hr

Position Summary The Senior Robotics Engineer will be responsible for programming, commissioning ... Validate robotic models and simulation accuracy. * Lead robotics projects from design through ...

Simulation Engineer

San Carlos, CA · On-site

$119.80 - $203.80/hr

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 ...

Join us as a Throughput Simulation Engineer in Holland, MI or Lake Orion, MI as we work together to ... Perform robotic reach & cycle time studies. * Perform system throughput studies. * Develop and ...

Join us as a Throughput Simulation Engineer in Holland, MI or Lake Orion, MI as we work together to ... Perform robotic reach & cycle time studies. * Perform system throughput studies. * Develop and ...

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Senior Robotic Simulation Engineer information

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$71.5K

$120.8K

$170.5K

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

As of Sep 2, 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?

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 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 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 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 July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $120,817 per year, or $58.1 per hour.

Senior Simulation Engineer

Toyota Research Institute

Los Altos, CA • On-site

$180K - $258K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


Job description

At Toyota Research Institute (TRI), we're on a mission to improve the quality of human life. We're developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we've built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. 
 
 
The Automated Driving Advanced Development division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI's robotics divisions' efforts in Diffusion Policy and Large Behavior Models.
 
 
We are seeking a Senior Simulation Engineer to lead the development of sensor and system-level simulation workflows that support both closed-loop validation and synthetic data generation for training. In this role, you'll help build the simulated environments, data pipelines, and interfaces required to evaluate and improve our full-stack driving policy under diverse, realistic conditions.
 
 
This role is not limited to simulation infrastructure or tooling. Instead, you will focus on functional validation of learned behaviors, scalable synthetic data generation, and the seamless integration of state-of-the-art simulation technologies to support both training and evaluation workflows. You will also play a key role in driving cross-functional alignment between autonomy, platform, ML infrastructure, and integration teams. This work is part of Toyota's global AI efforts and will be conducted in close collaboration with teams across TRI, Woven by Toyota, and other engineering partners.
Responsibilities
  • Build a visually realistic simulator to test full end-to-end autonomy stack behavior, from simulating sensors to motion planning, across a range of scenario conditions.
  • Prototype and integrate with internal and third-party simulators to evaluate their ability to support learned system testing.
  • Curate scenarios, system introspection.
  • Build data logging frameworks used during large-scale virtual tests.
  • Collaborate closely with autonomy, ML, and integration teams to define simulation entry points, runtime configs, and closed-loop evaluation metrics.
  • Build diagnostic tooling and analysis pipelines to understand and improve real system behavior in simulation.
  • Lead cross-functional efforts to close the gap between simulation and on-vehicle deployment, increasing the reliability of sim-based validation.
  • Provide technical mentorship and foster a collaborative, high-trust engineering culture across organizational boundaries.
  • Demonstrate excellent design practices; generate technical documentation; lead technical presentations; aligning with stakeholders before, during, and after implementation is essential.
Qualifications
  • Bachelor's or Master's in Computer Science, Robotics, or a related field.
  • 10+ years of experience in robotics, autonomous systems, or simulation.
  • Experience with 3D reconstruction (e.g. Gaussian Splatting, Neural radiance fields, etc).
  • Experience with 3D generation.
  • Experience with Unreal Engine.
  • Strong programming skills in Python and C++, especially for robotics or systems development.
  • Experience with simulation platforms (e.g., CARLA, Applied Intuition, Nvidia DriveSim, etc) and their integration into autonomous system workflows.
  • Knowledge of sensor simulation principles and how perception systems interact with synthetic data.
  • Understanding of end-to-end autonomy pipelines, from raw sensor input to trajectory outputs.
  • Demonstrated ability to design for both users (e.g., autonomy developers) and simulation infrastructure stakeholders.
  • Passion for using simulation to drive real-world progress and system understanding.
Bonus Qualifications
  • Hands-on experience validating machine learning-based autonomy stacks in closed-loop simulation.
  • Knowledge of scenario generation, rare event simulation, or counterfactual testing.
  • Knowledge of one or more cloud compute platforms, such as AWS.
  • Experience with multi-agent simulation or high-fidelity 3D environments.
  • Prior experience in fast-paced R&D environments bridging research and production.
Please include links to any relevant open-source contributions or technical project write-ups with your application.
 
The pay range for this position at commencement of employment is expected to be between $180,000 and $258,750/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.
 
Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
 
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
 
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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