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.
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.
Additional Information
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.
Nvidia · Santa Clara, CA