NVIDIA Corporation

Senior Developer Relations Manager - GR00T End-to-End Workflow

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

Qualifications

  • 8+ years in robotics, autonomous vehicles, or related fields.
  • Master's or PhD in Computer Science, Robotics, Engineering, or similar technical area.
  • Technical proficiency in robot foundation models, imitation learning, or reinforcement learning.
  • Hands-on experience with robot learning frameworks and relevant deployment tools.
  • Strong communication skills for both technical and executive audiences.

Responsibilities

  • Serve as a trusted advisor for partners adopting the GR00T workflow.
  • Architect end-to-end adoption of the GR00T for robotic ecosystem partners.
  • Represent partner needs to influence product roadmaps internally.
  • Develop deep expertise in NVIDIA robotics SDKs and platforms.
  • Accelerate partner workloads using NVIDIA core models and frameworks.
  • Identify opportunities by tracking trends in robotics and VLA models.
  • Support product marketing activities with success stories from partners.

Benefits

  • Eligibility for equity.
  • Opportunity to work with cutting-edge robotics technologies.
  • Participation in a dynamic and innovative work environment.
Full Job Description
We're looking for a Senior Developer Relations Manager to own developer and partner adoption of the NVIDIA Isaac GR00T end-to-end workflow - the full-stack platform spanning data capture and teleoperation, synthetic trajectory generation, foundation-model post-training, simulation-based evaluation, and real-time deployment on NVIDIA Jetson Thor, now embodied in the NVIDIA Isaac GR00T Reference Humanoid Robot.

With GR00T N1.7 - our open, commercially licensed vision-language-action model with task- and subtask-level reasoning, dexterous manipulation, and a Cosmos Reason 2 backbone - developers can now go from human demonstration to deployed robot skill on a single, coherent stack. In this role, you'll advise humanoid and general-purpose robot makers, ISVs, research labs, and reference-robot adopters through that journey. The platform is modular by design - you'll help teams adopt it whole or integrate selected capabilities into existing pipelines.

What you'll be doing:
  • Serve as a trusted technical advisor for partners adopting the GR00T End-to-End Workflow.
  • Guide robotic ecosystem partners in architecting end-to-end adoption of the GR00T, with a focus on model deployment on the robot.
  • Represent partner needs internally, providing feedback to NVIDIA's Isaac, GEAR research, and Jetson product teams to influence future roadmaps.
  • Build and maintain deep expertise in NVIDIA robotics SDKs and platforms: Isaac GR00T, Isaac Lab, Isaac Sim, Isaac ROS, Newton, Isaac Teleop, and the Jetson Thor.
  • Accelerate critical partner workloads using NVIDIA's core models, frameworks, and libraries.
  • Track emerging trends in robotics, VLA/WAM models, and robot learning to identify new opportunities and inform the evolution of the reference architecture and support product launches and event marketing activities by using ecosystem partner success stories.


What we need to see:
  • 8+ years of overall professional experience in robotics, autonomous vehicles, or equivalent fields.
  • Master's, or PhD degree in Computer Science, Robotics, Engineering, or a related technical field - or equivalent experience.
  • Technical background in at least two of: robot foundation models, imitation learning, reinforcement learning, robot simulation, synthetic data generation, or embedded/edge deployment.
  • Hands-on experience with robot learning frameworks and tools (e.g., LeRobot, Isaac Lab, MuJoCo) and with deploying models on embedded platforms (Jetson or comparable).
  • Strong interpersonal and communication skills for technical and executive audiences, and the ability to structure and deliver complex, multi-quarter technical engagements.


Ways to stand out from the crowd:
  • Experience with real-world robotics deployment and direct experience post-training or deploying GR00T models.
  • Hands-on experience with humanoid or dexterous-manipulation platforms (e.g., bimanual manipulation, five-fingered hands, teleoperation rigs).
  • Experience with NVIDIA tools and libraries (CUDA-X, Isaac Sim, Isaac ROS, OpenUSD, Cosmos, TensorRT).
  • Established network within the robotics or industrial automation sectors.
  • Proven success growing developer ecosystems through technical enablement, open-source contribution, or reference-design programs.


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 14, 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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