Used Tools & Technologies
Not specified
Required Skills & Competences ?
Marketing @ 3 MLOps @ 3 TensorFlow @ 3 Leadership @ 6 Communication @ 3 Mathematics @ 3 Microservices @ 3 API @ 3 Technical Leadership @ 6 Project Management @ 6 LLM @ 5 PyTorch @ 3 GPU @ 6Details
At NVIDIA we are pioneering the era of Physical AI, where intelligent machines can learn, reason, and interact with the physical world through advances in Artificial Intelligence, High-Performance Computing, and Visualization. This role focuses on developer relations with Independent Software Vendors (ISVs) and Service Providers to integrate NVIDIA's AI World Foundation Models (e.g., Cosmos) and Accelerated Computing solutions, applied to Synthetic Data Generation, Generative AI in Robotics, and Autonomous Vehicles.
Responsibilities
- Promote NVIDIA World Foundation Models (e.g., COSMOS), tools, libraries, and SDKs with ISV and Service Provider architects and developers.
- Deeply understand GenAI workflows and LLM breakthroughs, track ecosystem changes and alliances, attend conferences, and build a network of influencers and opportunities.
- Understand NVIDIA Cosmos platform benefits and technical workflows in depth; act as a technical expert to guide partners on solving complex technical challenges and planning integrations.
- Act as a developer advocate inside NVIDIA: discover new workflows, identify blockers to ISV adoption, and communicate feedback and requirements to product teams.
- Drive early adoption of new products and support launch and go-to-market activities.
- Collaborate with partner managers, solution architects, business development, sales, and marketing to drive NVIDIA full-stack adoption.
- Use conferencing tools extensively and travel as required; empowered to find the best ways to make partners successful.
Requirements
- BS or MS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience).
- 7+ years of work-related experience in technical leadership roles and architecting GPU-accelerated software solutions.
- Deep understanding of Vision GenAI and LLM ecosystems (startups, ISVs, data stores, CSP services, SaaS/platform offerings).
- Extensive knowledge and experience with recent advancements in LLMs and GenAI.
- Experience training or using vision-based foundation models such as VLMs, 3D-VLMs, ViT, VLAs, and diffusion video models.
- Strong analytical and problem-solving skills with deep empathy for developers.
- Clear written and oral communication skills with the ability to articulate value propositions to executive and technical audiences.
- Strong project management skills: plan, prioritize, and drive multiple projects while engaging internal and external stakeholders.
Ways to stand out
- Experience in synthetic data generation pipelines for AI inference, fine-tuning, and sim2real experiences.
- Experience developing with data processing and ML/DL frameworks (TensorFlow, PyTorch, JAX) and the MLOps ecosystem (cloud and on-prem).
- Applied experience in Robotics and/or Autonomous Vehicle domains.
- Background designing cloud-based solutions, APIs and microservices, orchestration platforms, storage solutions, and data migration techniques.
- Familiarity with NVIDIA AI technologies like NeMo and TensorRT.
Compensation and Benefits
- Base salary ranges (determined by location, experience, and internal pay):
- Level 4: 184,000 USD - 287,500 USD
- Level 5: 224,000 USD - 356,500 USD
- Eligible for equity and benefits (see NVIDIA benefits).
Other
- Applications accepted at least until August 14, 2025.
- NVIDIA is an equal opportunity employer committed to diversity and inclusion.