Senior Software Engineer - XR Physical AI Partners Engagement

Posted 13 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead development of XR-based teleoperation and data-collection systems for robotics, support partner onboarding and integrations, write docs and sample code, triage partner issues, review partner OSS contributions, optimize CloudXR/Omniverse/Isaac performance, and coordinate cross-functional NVIDIA teams to drive partner adoption.
Summary Generated by Built In

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking an outstanding engineer to help shape the future of XR and Robotics. We seek team members who are passionate about working on hard problems, and contribute to driving innovation in teleoperation and data collection for robotics with spatial computing technologies. In this role, you will apply both system and AI knowledge, and technical leadership to scale development of NVIDIA's XR and Robotics efforts. We seek a creative, self-starting and highly productive engineering professional to help us invent the future of computing.

What you'll be doing:

  • Developing human-centric data collection and teleoperation systems using XR devices and peripherals, tailoring them to specific partner needs and use cases to drive partner adoption of our tech stacks, support the technical part of partner onboarding.

  • Draft integration design for partners in accordance to our architecture, write documentation and sample code for quicker onboarding process

  • Follow-up with partners on technical feedbacks and adoption design choices

  • Review partner code contribution for our OSS repositories for quality control, and drive closure

  • Manage partner feature request and feedback/bugs intake, triage and fix high priority partner issues/bugs in a timely manner

  • Engaging cross-functional teams across NVIDIA, such as solution architecture and developer relations.

  • Engaging in cross platform development in C++ and python, provide technical advice to partners to unblock on tooling and cross platform issues.

  • Diving into the core technologies behind CloudXR, Omniverse and the NVIDIA Isaac platform, exploring ways to optimize performance, reduce latency, and enhancing teleoperation and data collection efficiency for high priority partners and use cases.

What we need to see:

  • BS/MS in Computer Science or equivalent experience.

  • Proficient in C++ and Python

  • 6+ years of XR / Robotics related experience. Practical experience solving real world problems with at least one of: robotics, AI, distributed system, media streaming and networking.

  • Experience working in large scale code bases / projects, and delivering developer-facing SDKs and documentation.

  • Experience in supporting external partners with technical integrations, and addressing partner issues.

  • Understanding business objectives, able to articulate product roadmap and tailor solutions to customers based on product offering and existing tech stacks

  • Able to travel to attend partner design workshops, onsite support, and various tradeshows, events.

  • Proficient with agentic development, and adoption of AI tools for productivity

  • Phenomenal communication skills, team player and collaborator

Ways to stand out from the crowd:

  • Experience with tele-operation and data collection for robotics.

  • Experience with XR development: augmented reality, virtual reality, or spatial computing in any form factor: glasses, headsets or smartphones.

  • Background in GPU, frame-rate and latency optimization

  • Having experience in maintaining and/or contributing to large scale open source projects is a plus.

With competitive salaries and a generous benefits package (www.nvidiabenefits.com ), we are 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 best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

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 June 8, 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

  • BS/MS in Computer Science or equivalent experience.
  • Proficient in C++ and Python.
  • 6+ years of XR / Robotics related experience.
  • Practical experience with robotics, AI, distributed systems, media streaming, or networking.
  • Experience working in large-scale codebases and delivering developer-facing SDKs and documentation.
  • Experience supporting external partners with technical integrations and addressing partner issues.
  • Ability to understand business objectives and tailor technical solutions to customer needs.
  • Willingness and ability to travel for partner workshops, onsite support, and events.
  • Proficient with agentic development and adoption of AI tools for productivity.
  • Strong communication skills and ability to collaborate across teams.
  • Experience with tele-operation and data collection for robotics.
  • Experience in XR development (AR/VR/spatial computing).
  • Background in GPU frame-rate and latency optimization.
  • Experience maintaining or contributing to large-scale open source projects.

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 Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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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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