Senior Developer Relations Manager, Physical AI/Robotics
NVIDIA
Job Overview
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Job Description
About NVIDIA
At NVIDIA, we’re solving some of the world’s most challenging and transformative problems through our groundbreaking advancements in Artificial Intelligence, High-Performance Computing, and Visualization.
We are looking for a Senior Developer Relations Manager, Physical AI/Robotics to engage and collaborate with developers across Enterprise, Public Sector, Startups, and Independent Software Vendors (ISVs). In this role, you’ll drive the integration of NVIDIA’s GPU-Accelerated Computing platforms, with a strong emphasis on Robotics and Physical AI applications.
We seek a passionate, proactive, and creative technologist—someone who thrives in a rapidly evolving environment at the forefront of AI and HPC innovation. The ideal candidate is dedicated, highly collaborative, and effective in communication, with the ability to stay organized, adapt quickly, and consistently deliver results.
What You'll Be Doing
- Based on deep understanding of AI for Robotics, Gen AI workflows, Digital Twin and Synthetic Data Generation, do evolving ecosystem and alliances, building a network of influencers, and tracking opportunities in progress proactively, seek opportunities to solve AI problems that can be accelerated by positioning NVIDIA AI SW and be catalyst in conceptualisation, scoping and working towards adoption.
- Position NVIDIA tools, libraries, and SDK’s with developers in Korea to accelerate their Robotics Developer journey.
- Discover new workflows, identify blockers and feature request to adoption for Physical AI and Robot development, and actively co-work together with the product teams.
- Collaborate with NVIDIA partner managers, solution architects, industry business development managers, sales and marketing, DevTech, Product manager.
- We make heavy use of conferencing tools, but some travel is required. You are empowered to find the best way to get your job done and make our partners successful.
What We Need To See
- BS or MS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience).
- 5+ years of work-related experience in technical leadership role and architecting GPU accelerated computing solutions.
- Clear written and oral communication skills with a proven track record to articulate value propositions to executive and technical audiences.
- Strong project management skills: ability to plan, prioritize, and drive forward multiple projects simultaneously, while engaging with internal and external collaborators.
- Extensive knowledge and experience with recent advancements in Physical/Embodied AI, Synthetic Data Generation, World Foundation Model, VLMs, Robot Policy Learning and Gen AI, Robotics development.
- Hands-on experience with software architecture design, implementation and programming skills.
- Experience to work with leading researchers at enterprise, startup, and high education across developer ecosystem.
Ways To Stand Out From The Crowd
- Experience Robotics and Omniverse courses of NVIDIA Deep Learning Institute, plus instructor certification.
- Background of experience with NVIDIA Physical AI SDKs – ISAAC Sim/Lab, Omniverse, GR00T, Jetson Embedded Platform.
- Experience and empathy for software engineering and application development.
Key skills/competency
- Developer Relations
- Physical AI
- Robotics
- GPU-Accelerated Computing
- Ecosystem Development
- Project Management
- Technical Communication
- Software Architecture
- Synthetic Data Generation
- Gen AI Workflows
How to Get Hired at NVIDIA
- Research NVIDIA's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to align your application with NVIDIA's innovative spirit.
- Tailor your resume for AI/Robotics: Customize your resume to highlight experience in GPU-accelerated computing, Physical AI, Robotics, and developer relations to match the Senior Developer Relations Manager, Physical AI/Robotics requirements.
- Showcase technical leadership: Prepare examples demonstrating your technical leadership, software architecture design, and project management skills relevant to complex AI/HPC solutions.
- Master communication skills: Practice articulating complex technical value propositions clearly, as strong written and oral communication is crucial for this developer-facing role at NVIDIA.
- Network within the industry: Connect with NVIDIA employees or developer relations professionals on LinkedIn to gain insights and potentially a referral, strengthening your application for this specialized role.
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