
Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.

Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.
Company: NVIDIA
Core focus: Accelerated computing and AI infrastructure (GPUs, data center and AI systems, edge/robotics, automotive)
Founded: April 1993
Public company / Investor relations: Maintains an active investor relations portal with quarterly results and presentations
High-performance graphics, machine learning/AI acceleration, and full-stack AI infrastructure for enterprise, cloud and edge use cases.
1993
Semiconductors / AI infrastructure
Historical financing and IPO-related information are documented on financial profiles; NVIDIA also deploys strategic investments in startups (examples reported)
$2B
Reported $2B investment to support CoreWeave's AI compute expansion
Want to join a fun, creative company that is on the cutting edge of outstanding technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We are looking for an experienced Technical Product Manager to evangelize NVIDIA’s core technologies in GenAI and lead technical customer engagement from inception and pre-sales to adoption. This role requires a 360 awareness of technical topics, business priorities and implications, as well as a deep understanding of the customer needs in order to drive significant impact in adoption of our technology. What you will be doing: - Serve as a technical advisor and problem solver with partner engineering teams, collaborating on architecture, code, and integration for Omniverse and AI enabled-solutions. - Develop and maintain deep technical expertise in NVIDIA Cosmos and Omniverse Platforms and related technologies (APIs, USD, NIMs, Blueprints) through prototyping, technical integration and creation of reference architectures. - Co-design and implement sophisticated technical solutions with partners – defining objectives, architecture, milestones, and delivery plans. Contribute sample code, architecture diagrams, and direct engineering support to overcome technical challenges. - Develop and deliver technical enablement resources (code samples, reference architectures, integration guides, workshops) to accelerate partner engineering teams’ adoption and effective use. - Engage with partner software organizations - from engineering teams to technical leaders, and decision makers - to understand their goals, identify and resolve technical blockers, advocate for best practices, and drive alignment with NVIDIA technical solutions. - Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps. - Support product launches, technical go-to-market activities by providing technical validation, demonstrating coordinated solutions, and ensuring perfection in customer- and partner-facing materials. What we need to see: - Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience. - 12+ years of hands-on experience in a technical AI role, with a strong emphasis on AV End-to-End models and GenAI model development. - Experience writing production codes in Python, or C++ and proficiency with Linux. - Hands-on experience with DevOps tools such as GitLab, Docker, and Kubernetes. - Strong understanding of AV systems (Sensors, dynamics, perception, prediction, planning, control). - Experience with DL and RL algorithms and frameworks such as PyTorch. - Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams). - Effective verbal/written communication, and technical presentation skills. - Self-starter with a vision for growth, real passion for continuous learning and sharing findings across the team. Ways to stand out from the crowd: - Experience with AV sensors, data curation pipelines, world models, simulations workflows and tools - Experience with Agentic AI frameworks, tools, and protocols like LangChain, LangGraph, MCP or equivalent experience. - Understand computational characteristics of Multimodal LLMs, VLMs, DiT, etc. - Experience in deploying LLM models at scale on mainstream cloud providers (e.g., AWS, Azure, GCP). - Consistent track record to profile and optimize inference latency and efficiency, memory and I/O utilization. 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 people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 17, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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