NVIDIA Corporation

Robotics Research Engineer - Robot Simulation and Evaluation

NVIDIA Corporation$184K — $356K *
Technical Services
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Computer Science, Robotics, or related discipline, or equivalent experience.
  • 8+ years of industry or post-degree research engineering experience in robotics, simulation, or robot learning.
  • Proven ability to convert research prototypes into production-ready software.
  • Proficient in Python and experienced with deep learning frameworks like PyTorch or JAX.

Responsibilities

  • Build simulation frameworks for training and evaluating robot foundation models on NVIDIA's Omniverse.
  • Collaborate with research teams to design and evaluate new algorithms for robot learning.
  • Lead architectural decisions and set evaluation standards across teams.
  • Participate in software design/code reviews, testing, continuous integration, and deployment.
  • Train and evaluate robot foundation models.
  • Integrate modern LLM and agentic workflows into simulation and robotics.
  • Translate research ideas into scalable Isaac Lab Arena capabilities.

Benefits

  • Equity options available.
  • Comprehensive health benefits.
  • Flexible working environment.
  • Access to cutting-edge technology resources.
  • Opportunities for professional development and growth.
Full Job Description
We9re looking for a research engineer to join our team to develop simulation tools built for scientists and companies that are using machine learning to solve the future of robotics. In this role, you will drive cross-team collaboration between Isaac product engineering and NVIDIA Robotics research: translating research ideas into product-ready Isaac Lab Arena capabilities, bringing product and user feedback back into the research loop, and driving adoption with research users. You9ll join a team of robotics engineers who work at the intersection of simulation and machine learning. Our goal is to build the industry9s leading tool for evaluating robot foundation models in simulation. This mission builds on NVIDIA9s history of creating virtual worlds using its groundbreaking technology on photorealistic rendering and physics simulation technologies.

What you9ll be doing:
  • Building simulation frameworks for training and evaluating robot foundation models on top of NVIDIA9s Omniverse platform.
  • Partner directly with research to design, implement, and evaluate novel algorithms for robot learning.
  • Driving technical architecture, setting evaluation standards, and cross-team leadership between Research and Product.
  • Working as part of a high-paced software engineering team: design/code reviews, testing, continuous integration, deployment.
  • Training and evaluating robot foundation models.
  • Integrating modern LLM and agentic workflows into simulation and robotics workflows.
  • Working with researchers and product engineers to translate research ideas into Isaac Lab Arena capabilities that can scale to NVIDIA9s user base.
  • Keeping up to date with the state-of-the-art in robotics research.


What we need to see:
  • PhD degree in Computer Science, Robotics, or a related field (or equivalent experience).
  • 8+ years of relevant industry or post-degree research engineering experience in robotics, simulation, or robot learning, with ability to translate research prototypes into product or platform capabilities.
  • Proven track record of software design and translating research prototypes into production-ready software platforms.
  • Proficiency using Python and development experience with deep learning software stacks (Pytorch, Jax, etc.).


Ways to stand out from the crowd:
  • High-impact publications at top robotics and machine learning venues (e.g., CoRL, RSS, ICRA, NeurIPS).
  • Robot learning expertise with reinforcement learning and/or imitation learning,
  • Deep expertise in GPU-accelerated physics simulation engines (e.g., PhysX, Isaac Gym/Isaac Lab, Newton).
  • Experience with NVIDIA robotics ecosystem tools (CUDA, warp, Isaac Lab, ROS).
  • Developing and maintaining open-source projects.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 22, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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