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Manager Robotics Simulator Jobs (NOW HIRING)

DOOSAN

Engineering Manager - Robotics

Bismarck, ND

$132.20K - $198.30K/yr

... push simulation and autonomous operation Role & Responsibility * Leadership: Lead multiple teams ... engineering, robotics or related field preferred * 5+ years of people management experience

Magna

Robotics AI Algorithm- R&D Summer 2026

Troy, MI · On-site

The Advanced Robotics team is focused on developing novel technologies that give robots human-like ... Final decisions are always made by the hiring manager and the hiring team. Importantly, no ...

DOOSAN

Engineering Manager - Robotics

Minneapolis, MN

$132.20K - $198.30K/yr

... push simulation and autonomous operation Role & Responsibility * Leadership: Lead multiple teams ... engineering, robotics or related field preferred * 5+ years of people management experience

DOOSAN

Engineering Manager - Robotics

Statesville, NC

$132.20K - $198.30K/yr

... push simulation and autonomous operation Role & Responsibility * Leadership: Lead multiple teams ... engineering, robotics or related field preferred * 5+ years of people management experience

DOOSAN

Engineering Manager - Robotics

Fargo, ND

$132.20K - $198.30K/yr

... push simulation and autonomous operation Role & Responsibility * Leadership: Lead multiple teams ... engineering, robotics or related field preferred * 5+ years of people management experience

Rule 5 Hire

Robot Engineer

Detroit, MI · On-site

... management for performance to budget and timing during all phases of the project. * Understand and strictly follow the standards and specifications for the robotic simulation and/or design of robotic ...

Rule 5 Hire

Robot Engineer

Detroit, MI

... management for performance to budget and timing during all phases of the project. * Understand and strictly follow the standards and specifications for the robotic simulation and/or design of robotic ...

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Manager Robotics Simulator information

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$27.5K

$81.7K

$137.5K

How much do manager robotics simulator jobs pay per year?

As of May 31, 2026, the average yearly pay for manager robotics simulator in the United States is $81,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Robotics Simulator, and why are they important?

To thrive as a Manager Robotics Simulator, you need expertise in robotics engineering, simulation software, and team leadership, often supported by a degree in robotics, engineering, or computer science. Familiarity with simulation platforms (such as Gazebo or ROS), programming languages (like Python or C++), and project management tools is typically required, along with relevant certifications. Strong communication, problem-solving, and organizational skills enable effective collaboration and project execution. These competencies are crucial for ensuring high-quality simulation environments, leading teams, and delivering innovative robotics solutions efficiently.

What are some common challenges faced by a Manager Robotics Simulator and how can they be addressed?

Managers of Robotics Simulator teams often encounter challenges such as integrating new simulation technologies, ensuring accurate modeling of real-world robotics environments, and facilitating effective collaboration between simulation engineers and robotics developers. To overcome these hurdles, it's important to stay updated with the latest simulation tools, foster clear communication across multidisciplinary teams, and implement structured testing processes. Regular team meetings and cross-functional workshops also help ensure alignment on project goals and technical requirements.

What are Manager Robotics Simulators?

A Manager Robotics Simulator oversees the development, implementation, and maintenance of robotics simulation software and environments. They manage teams of engineers and developers to ensure high-quality, accurate simulations that support the testing and training of robotic systems. This role bridges technical expertise with leadership responsibilities, coordinating projects, setting goals, and ensuring timely delivery of simulation products. Additionally, they often collaborate with other departments to integrate simulation tools into larger robotics workflows.

What is the difference between Manager Robotics Simulator vs Robotics Engineer?

AspectManager Robotics SimulatorRobotics Engineer
Required CredentialsBachelor's or master's in robotics, engineering, or related field; leadership experienceBachelor's or master's in robotics, mechanical, electrical, or software engineering
Work EnvironmentTeam leadership, project management, overseeing simulation developmentDesign, develop, and test robotic systems and simulations
Employer & Industry UsageTech companies, research labs, manufacturing firmsRobotics firms, automation companies, research institutions

The Manager Robotics Simulator primarily oversees simulation projects, manages teams, and ensures project delivery, focusing on leadership and coordination. In contrast, a Robotics Engineer is hands-on, involved in designing and developing robotic systems and simulations. Both roles require technical expertise, but the Manager focuses on management, while the Engineer emphasizes technical development.

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What cities are hiring for Manager Robotics Simulator jobs? Cities with the most Manager Robotics Simulator job openings:
What are the most commonly searched types of Robotics Simulator jobs? The most popular types of Robotics Simulator jobs are:
What states have the most Manager Robotics Simulator jobs? States with the most job openings for Manager Robotics Simulator jobs include:
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Manager Robotics Simulator jobs near you
Infographic showing various Manager Robotics Simulator job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, 15% Part Time, 1% Temporary, and 1% Contract. Highlights an 17% Physical, 12% Hybrid, and 71% Remote job distribution, with an average salary of $81,677 per year, or $39.3 per hour.

Robotics Simulation Engineer

Persona AI

Pensacola, FL • On-site

Full-time

Posted 24 days ago

Job description

Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona's founding team has a decades-long history in humanoid robotics, bionics, and product development delivering robust hardware that has touched the stars, worked miles below the surface of the ocean, and even roamed Disney Parks. Our mission is focused squarely on shipping beautiful, reliable products at massive scale, while building a customer-focused team to achieve these aims.
We're looking for a Simulation Engineer to own and expand our NVIDIA Isaac Sim and Omniverse simulation infrastructure. You'll build the digital twin environments, sim assets, and CI/CD pipelines that our autonomy team relies on daily. You will help achieve the vision in which every robot behavior we develop is prototyped, tested, and validated in simulation before it runs on hardware.
As a simulation engineer at Persona, you will have an incredible opportunity to shape the simulation infrastructure that underpins our entire autonomy stack. You will report to the Behavior Coordination Lead and work closely with machine learning, locomotion, manipulation, perception, and devops teams.
Your Role:
  • Build, maintain, and extend simulation environments in NVIDIA Isaac Sim and Omniverse for humanoid robot development.
  • Develop and manage OpenUSD sim assets: robot models, tools, workpieces, customer facility environments (shipyards, steel fabrication plants, industrial sites).
  • Create and maintain physics-accurate digital twins of customer facilities (shipyards and industrial manufacturing) for behavior validation and deployment planning.
  • Integrate all autonomy subsystems (locomotion, manipulation, perception, hands, navigation, welding) to run against Isaac Sim.
  • Design and implement behavior-level CI/CD pipelines that automatically validate robot behaviors in simulation.
  • Prototype and mock-test robot behaviors (welding, navigation, manipulation) in simulation before hardware integration.
  • Develop synthetic data generation pipelines for training perception, manipulation, and navigation models.

We're Looking For:
  • BS, MS, or PhD in Robotics, Computer Science, Mechanical Engineering, or a related field.
  • 3+ years of professional experience in robotics simulation, digital twin development, or physics-based simulation environments.
  • Strong hands-on experience with NVIDIA Isaac Sim and/or NVIDIA Omniverse.
  • Working knowledge of OpenUSD (Universal Scene Description): authoring, composition, referencing, flattening, and debugging USD stage hierarchies.
  • Proficiency in Python; comfortable writing simulation tooling, test harnesses, and automation scripts.
  • Experience with at least one physics engine: PhysX, MuJoCo, Bullet, or Drake.
  • Solid understanding of robot kinematics, dynamics, and articulated body simulation.
  • Experience developing or maintaining CI/CD pipelines for simulation or robotics software.
  • Familiarity with containerization (Docker) and DevOps practices for simulation infrastructure.
  • Ability to create and manage 3D simulation assets (meshes, materials, collision geometry, articulation definitions).

Preferred or Bonus Qualifications:
  • Experience with NVIDIA Isaac Lab for reinforcement learning environment setup and training.
  • Familiarity with NVIDIA Cosmos for synthetic data generation and scene variability.
  • Experience with ROS/ROS 2 and Gazebo simulation.
  • Experience with Unreal Engine or other real-time rendering engines for robotics visualization.
  • Background in manipulation simulation: contact modeling, grasp planning, dexterous multi-fingered hand interaction, and force/torque estimation.
  • Experience with motion capture data pipelines and motion retargeting to robot models.
  • Exposure to behavior trees, task planning, or autonomy stack architecture.
  • Knowledge of Omniverse extensions development and Kit SDK.

Why join Persona AI?
  • You'll shape technology that's redefining the possibilities of robotics and human interaction.
  • Work alongside passionate teammates who value diversity, creativity, and continuous learning.
  • Enjoy full access to advanced prototyping tools, labs, and the freedom to experiment and innovate.
  • We offer competitive compensation, excellent benefits, flexible work environment, and equity opportunities.
Persona AI embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our work will be.

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