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Robotics Lab Manager Jobs in Washington, DC (NOW HIRING)

... standards while managing multidisciplinary teams to deliver mission-capable systems ... Mechanical, Electrical, Computer, Software, Mechatronics, Robotics, Aerospace Engineering, or ...

Software and Systems Engineer

Herndon, VA

$177K - $210K/yr

The Test Framework is a distributed system that manages physical and virtual test infrastructure ... bdd, robot, behave, etc. * Background in hardware-in-the-loop or lab automation testing ...

Define, manage, and own the logical and physical system architecture for the specific program ... Minimum 5+ years of experience in systems integration, robotics, or autonomous vehicles

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Robotics Lab Manager information

See Washington, DC salary details

$36.8K

$104.2K

$168.8K

How much do robotics lab manager jobs pay per year?

As of Jul 15, 2026, the average yearly pay for robotics lab manager in Washington, DC is $104,154.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,300.00 and $125,700.00 per year, depending on experience, location, and employer.

What is the highest paying job in a laboratory?

In a laboratory setting, senior roles such as Laboratory Directors or Chief Scientific Officers typically have the highest salaries, often exceeding six figures annually. These positions require extensive experience, advanced degrees, and leadership skills, and they oversee research, operations, and strategic planning within the lab.

What are Robotics Lab Managers?

Robotics Lab Managers are professionals responsible for overseeing the daily operations of robotics laboratories. They manage lab staff, maintain equipment, ensure safety protocols are followed, and support research and development activities. Their role often includes budgeting, scheduling, inventory management, and sometimes hands-on work with robotics systems and software. Robotics Lab Managers also facilitate collaboration between researchers, students, and external partners to drive innovation and achieve project goals.

Is robotics still a good career?

Robotics Lab Managers play a key role in developing and maintaining robotic systems across industries such as manufacturing, healthcare, and research. As automation and AI continue to grow, demand for robotics expertise remains strong, making it a viable and evolving career path that often requires skills in programming, systems integration, and project management.

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

To thrive as a Robotics Lab Manager, you need a solid background in robotics engineering, project management, and laboratory safety protocols, typically supported by a relevant engineering degree. Familiarity with robotic hardware, programming languages (such as Python or ROS), and lab management software is crucial, and certifications in project management or safety can be advantageous. Strong leadership, organizational, and communication skills help foster team collaboration and maintain efficient lab operations. These skills and qualifications are essential to ensure innovative research, safe environments, and successful project outcomes in a robotics lab setting.

What are some common challenges a Robotics Lab Manager faces and how can they be addressed?

Robotics Lab Managers often encounter challenges such as coordinating diverse research projects, maintaining and upgrading complex equipment, and ensuring safety compliance in a dynamic environment. Balancing administrative duties with hands-on technical support can be demanding, especially when juggling multiple deadlines and project priorities. Proactive communication with team members, regular maintenance checklists, and clear documentation practices can help address these challenges and keep the lab running smoothly.

Is lab manager a stressful job?

A robotics lab manager oversees daily operations, staff, and project progress, which can involve managing tight deadlines and technical challenges. The role may be stressful during busy periods or when troubleshooting complex systems, but effective organization and communication skills can help mitigate stress. Overall, stress levels vary depending on workload and environment.

What is the highest paid job in robotics?

The highest paid roles in robotics often include robotics engineers, robotics directors, and chief robotics officers, especially in industries like aerospace, defense, and advanced manufacturing. These positions typically require extensive experience, advanced degrees, and expertise in areas such as AI, machine learning, and systems integration, with salaries reaching into the high six or seven figures for senior leadership roles.
What are popular job titles related to Robotics Lab Manager jobs in Washington, DC? For Robotics Lab Manager jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Robotics Lab Manager jobs in Washington, DC look for? The top searched job categories for Robotics Lab Manager jobs in Washington, DC are:
Senior Manager, Software Engineering - Robotics Manipulation

Senior Manager, Software Engineering - Robotics Manipulation

Nvidia

Herndon, VA • On-site

Full-time

Posted 6 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

NVIDIA is the engine of modern AI, and robotics is where AI meets the physical world. The Isaac robotics platform - spanning Isaac Sim, Isaac Lab, Isaac ROS, the foundation models behind Isaac GR00T, and the accelerated libraries that run on Jetson and in the data center - is how the world's developers and industrial leaders build intelligent robots.

We are looking for an exceptional engineering leader and manager to head up Isaac for Manipulation: giving robotic arms and dexterous systems the perception, grasping, motion, and learned skills they need to do real, impactful work. You will be responsible for the strategy, roadmap, and execution for Manipulation - turning hard, contact-rich problems in manufacturing, logistics, and industrial automation into shipping capabilities that our partners and developers can build on. This is a high-visibility role with direct line of sight to the most consequential problems in robotics today. You will grow and mentor a team of world-class robotics and machine-learning engineers, set a bold technical direction, and partner deeply with the robot-arm and industrial-automation ecosystem to make NVIDIA the default platform for robotic manipulation.

What you'll be doing:

  • Lead the Isaac Manipulation team. Recruit, grow, and mentor a high-performing team of robotics software engineers; set direction, raise the technical bar, and manage the team's health, velocity, and delivery.

  • Shape the roadmap. Collaborate with Product Management to define and drive the strategy and roadmap for grasping, motion planning and control, perception-for-manipulation, and learned manipulation policies - from research to productized, supported platform capabilities.

  • Apply creative solutions to real industrial problems. Translate the hardest contact-rich manipulation tasks in manufacturing, logistics, assembly, and machine tending into robust capabilities that work in the real world, not just the lab.

  • Bridge research and product. Partner with NVIDIA Research, the Isaac Sim/Lab teams, and foundation-model teams (e.g., Isaac GR00T, Cosmos) to bring sim-to-real, imitation, and reinforcement learning approaches into the platform and onto physical arms.

  • Engage partners and developers. Serve as a technical face of Isaac Manipulation to robot-arm OEMs, system integrators, and the developer community - gathering requirements, running joint engineering, and ensuring our APIs and tools meet real workflows. Support our ecosystem of developers through responsible migration handling of their solutions built on our durable platform.

  • Leverage accelerated compute. Drive architecture and execution that fully uses NVIDIA GPUs, CUDA, and the accelerated-computing stack across simulation, training, and on-robot inference on Jetson and edge platforms.

  • Deliver. Drive planning and execution of complex, multi-functional programs; own quality, performance, and the real-world deployment of learned policies and manipulation stacks on physical robots.

  • Influence the strategy. Represent manipulation in platform-level technical and business decisions, and help shape where NVIDIA invests across the robotics stack.

What we need to see:

  • BS, MS, or PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related field (or equivalent experience).

  • 12+ total years of relevant industry experience building robotics or robotics-adjacent systems, including 3+ years leading, mentoring, and managing engineering teams.

  • Robotic arm depth. Hands-on expertise with robotic arms, manipulation, and physics from grasping, motion planning (across both numerical optimization and sampling-based approaches), and control (including force/impedance and contact-rich control) to perception-guided manipulation.

  • Accelerated compute. Working understanding of GPU-accelerated computing and modern ML infrastructure, and how to architect robotics software to take advantage of it (CUDA, PyTorch, GPU-accelerated simulation, edge inference).

  • Partner and developer interface. Demonstrated ability to work directly with external partners, customers, and developer communities and to translate their needs into roadmap and shipping product.

  • Technical credibility. Strong software engineering fundamentals (modern C++ and Python) and the ability to engage substantively in technical and architectural decisions with your team.

Ways to stand out from the crowd:

  • Industry leadership and fluency. Experience building manipulation or industrial automation products at an established robot-arm company or manipulation startup, and a strong understanding of the product landscape including use cases, the integrators, and the platforms from leading vendors.

  • Hardware-agnostic platforms. A track record building developer-facing or low-code platforms and tooling that abstract across multiple robot-arm brands and make manipulation accessible to non-experts.

  • Learned manipulation. Deep experience with imitation learning, reinforcement learning, sim-to-real transfer, or manipulation foundation models, and shipping learned policies onto real hardware.

  • Ecosystem & OSS. Contributions to ROS 2, ros2_control, MoveIt, or the broader robotics open-source and standards community.

  • Founder / 0-to-1 instincts. Experience starting or scaling a product or team from the ground up and operating with speed in ambiguous, fast-pace problem spaces.

Manipulation is one of the defining unsolved problems in robotics, and NVIDIA is uniquely positioned - across simulation, foundation models, and accelerated compute - to solve it at platform scale. You'll lead a team that the entire robotics industry builds on, and your work will show up on factory floors and in warehouses around the world!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD for Level 4, and 320,000 USD - 488,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993