Developer Relations Manager, Robotics and Generative AI
NVIDIA
Job Overview
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

Job Description
About NVIDIA
At NVIDIA, we’re solving the world’s most ambitious problems with our groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. We are seeking a Developer Relations Manager, Robotics and Generative AI to collaborate with developers in various sectors such as Enterprise, Public Sector, Startups, and Independent Software Vendors (ISVs). This role involves integrating our portfolio of GPU Accelerated Computing solutions, specifically focusing on Robotics and Physical AI.
We need a passionate, focused, self-driven, and creative technologist who has the skills and drive to work in a fast-evolving technological environment that is always on the cutting edge of AI and High-Performance Computing. This individual is motivated, skilled in communication and collaboration, stays organized, and prioritizes achieving goals.
What You'll Be Doing
- Deep understanding of AI for Robotics, Gen AI workflows and LLM breakthroughs, evolving ecosystem and alliances, attending conferences, 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 ideation, scoping and driving for adoption.
- Position NVIDIA tools, libraries, and SDKs with developers across APAC to accelerate their Robotics Developer journey.
- Discover new workflows, identify blockers to adoption for Physical AI, and report back to the product teams.
- 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 a 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.
Key skills/competency
- Developer Relations
- Robotics AI
- Generative AI
- LLMs (Large Language Models)
- GPU Accelerated Computing
- Ecosystem Development
- Technical Leadership
- Project Management
- Software Architecture
- Partner Collaboration
How to Get Hired at NVIDIA
- Research NVIDIA's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor. Understand their pioneering spirit in AI.
- Tailor your resume for AI and Robotics: Highlight extensive experience in Developer Relations, GPU computing, Physical AI, Generative AI, and LLMs. Quantify impact where possible.
- Showcase technical leadership: Emphasize your 10+ years architecting GPU accelerated solutions and deep ecosystem understanding, especially in Robotics and Gen AI.
- Prepare for technical discussions: Be ready to discuss NVIDIA's SDKs like ISAAC, DRIVE, Omniverse, GR00T, and your hands-on experience with ML/DL frameworks.
- Demonstrate strong communication: Practice articulating complex technical value propositions to both executive and developer audiences, showcasing your empathy for developers.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background