Developer Relations Manager - Robotics and Gene...
@ NVIDIA

Hybrid
$200,000
Hybrid
Full Time
Posted 22 days ago

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About the Role

At NVIDIA, we’re solving the world’s most ambitious problems with groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. As a Developer Relations Manager - Robotics and Generative AI, you will collaborate with developers across Enterprise, Public Sector, Startups, and Independent Software Vendors (ISVs) to integrate our GPU Accelerated Computing solutions. This role focuses heavily on Robotics and Physical AI.

What You Will Be Doing

  • Deep dive into AI for Robotics, Generative AI workflows and LLM breakthroughs.
  • Identify and drive adoption opportunities for NVIDIA AI software.
  • Position NVIDIA tools, libraries, and SDKs with developers across APAC.
  • Discover new workflows and report blockers to product teams.
  • Collaborate with partner managers, solution architects, and business teams.
  • Utilize conferencing tools with occasional travel.

What We Need To See

Applicants should have a BS or MS in Engineering, Mathematics, Physics, Computer Science or equivalent experience and 10+ years in a technical leadership role. A deep understanding of Physical/Embodied AI, Generative AI, and the evolving ecosystem is required. Strong communication, project management skills, and hands-on experience with software architecture design are essential.

Ways To Stand Out

  • Experience with ML/DL frameworks and AIOps/MLOps ecosystems.
  • Background in NVIDIA Physical AI SDKs like ISAAC, DRIVE, Omniverse, GR00T.
  • Empathy for software engineering and application development.
  • Exposure to NVIDIA AI Software is an advantage.

Key skills/competency

  • Artificial Intelligence
  • High-Performance Computing
  • Robotics
  • Generative AI
  • Physical AI
  • Software Architecture
  • Project Management
  • Technical Leadership
  • Developer Relations
  • Communication
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How to Get Hired at NVIDIA

🎯 Tips for Getting Hired

  • Customize your resume: Highlight AI, robotics, and leadership experience.
  • Research NVIDIA: Understand their AI and computing innovations.
  • Prepare technical examples: Showcase your GPU computing successes.
  • Network strategically: Connect with NVIDIA developers and partners.

📝 Interview Preparation Advice

Technical Preparation

Review GPU computing standards.
Study NVIDIA AI toolkits.
Practice coding architecture designs.
Revisit robotics and AI algorithms.

Behavioral Questions

Describe a time managing multiple projects.
Explain collaboration with diverse technical teams.
Share experience overcoming adoption blockers.
Discuss effective communication in leadership roles.

Frequently Asked Questions