Collaborate with NVIDIA partner managers, solution architects, industry business development managers, sales and marketing.
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).
10+ years of work-related experience in technical leadership role and architecting GPU accelerated computing solutions.
Deep understanding of Physical/Embodied AI, Gen AI and LLM ecosystem of startups, ISVs, data stores, CSP services, and SaaS/platform offers.
Strong analytical and problem-solving skills, with deep empathy for developers.
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 stakeholders.
Extensive knowledge and experience with recent advancements in LLMs, VLMs Agentic AI and Gen AI.
Hands-on experience with software architecture design, implementation and programming skills
Passionate about AI and its evolving growth with continuous learning spirit, self-started and driven on focused outcome oriented activities
Ways to stand out from the crowd
Experience developing with ML/DL frameworks and AIOps/MLOps ecosystem of partners and solutions in the cloud and on-prem.
Background of experience with NVIDIA Physical AI SDKs – ISAAC, DRIVE, Omniverse, GR00T
Experience and empathy for software engineering and application development.
Exposure to NVIDIA AI Software
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you!
