Nvidia Senior Developer Relations Manager Physical AI/Robotics 

South Korea, Seoul 

205584180

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.