Developer Relations Manager Robotics

Reposted 13 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Developers Relations Manager specializing in robotics will advise startups on architecture, integration, code, simulation, robot learning, and NVIDIA robotics platforms. The role involves co-designing solutions, creating technical enablement resources, leading workshops, supporting synthetic data strategies, tracking ecosystem trends, influencing product roadmaps, and assisting with technical go-to-market activities. Strong expertise in robotics simulation, NVIDIA Jetson platforms, software development, and partner technical engagements is required.
Summary Generated by Built In

At NVIDIA, we’re pushing the boundaries of AI, robotics, and accelerated computing to transform industries and improve lives. We’re looking for a Robotics Developer Relations Manager with deep domain experience to partner with start-ups at the forefront of AI and robotics. In this role, you’ll use your knowledge of simulation technologies and robot learning to build strong technical relationships with our Inception start-up community, helping them accelerate their robotics application development.

The perfect candidate will work closely with our Inception Partner Business Manager to evaluate robotic start-up technologies for commercialization and support the adoption of NVIDIA’s Physical AI software. This individual will apply their deep technical expertise in AI, robotics, and simulation to leverage NVIDIA’s robotics platforms—such as Isaac Sim and Isaac Lab—to accelerate their path to market. If you’re a self-starter who thrives in dynamic environments and delivers results, we’d love to hear from you!

What you’ll be doing:

  • Act as a technical advisor, collaborating with partner engineering teams on architecture, integration, and code for Isaac Sim, Isaac Lab, and AI-enabled robotics solutions.
  • Build and maintain deep expertise in NVIDIA robotics SDKs, with a focus on simulation and robot learning.
  • Track emerging trends in the robotics ecosystem to identify new opportunities.
  • Co-design and deliver advanced robotic solutions with partners—defining objectives, architecture, milestones, and implementation plans.
  • Create technical enablement resources, including sample code, reference architectures, integration guides, and workshops.
  • Work closely with partner engineering leaders and decision-makers to identify challenges, recommend solutions, and drive adoption of NVIDIA robotic technology.
  • Represent partner needs internally, providing feedback to NVIDIA’s product and engineering teams to influence future roadmaps.
  • Support robotics startups with their synthetic data generation strategy.
  • Support product launches and go-to-market activities with technical validation, demos, and customer-facing materials.

What we need to see:

  • 5+ years in the technology industry, with at least 5 years in hands-on software development or engineering.
  • Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field—or equivalent experience.
  • Whole software development lifecycle experience—from requirements and design to testing, integration, and support.
  • Technical background in at least one of: robot foundation models, simulation, synthetic data, robot perception, reinforcement learning, or imitation learning.
  • Expertise with robotics simulation tools (e.g., Gazebo, MuJoCo, Isaac Sim, Robot Studio).
  • Fluency with NVIDIA Jetson compute platforms and the Jetpack SDK
  • Experience leading technical workshops, code reviews, and architectural design sessions.
  • Strong communication skills for technical and executive audiences.
  • Ability to structure and deliver complex technical engagements.

Ways to stand out from the crowd:

  • Experience with NVIDIA tools and libraries (CUDA-X, Isaac Sim, OpenUSD, Cosmos).
  • Recent hands-on experience with robot simulation tools.
  • Knowledge of AIOps, cloud-native technologies, Kubernetes, Docker, and monitoring tools.
  • Experience in training computer vision and/or kinematic foundation models
  • Proven success in growing developer ecosystems through technical enablement.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us, and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous professional with a genuine passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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.

Skills Required

  • 5+ years in the technology industry, including at least 5 years of hands-on software development or engineering experience
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience
  • Experience across the full software development lifecycle, including requirements, design, testing, integration, and support
  • Technical background in robot foundation models, simulation, synthetic data, robot perception, reinforcement learning, or imitation learning
  • Expertise with robotics simulation tools such as Gazebo, MuJoCo, Isaac Sim, or Robot Studio
  • Fluency with NVIDIA Jetson compute platforms and the JetPack SDK
  • Experience leading technical workshops, code reviews, and architectural design sessions
  • Strong communication skills for technical and executive audiences
  • Ability to structure and deliver complex technical engagements
  • Experience with NVIDIA tools and libraries including CUDA-X, Isaac Sim, OpenUSD, or Cosmos
  • Recent hands-on experience with robot simulation tools
  • Knowledge of AIOps, cloud-native technologies, Kubernetes, Docker, and monitoring tools
  • Experience training computer vision or kinematic foundation models
  • Proven success growing developer ecosystems through technical enablement

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
  • Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
  • Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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