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NVIDIA
US, CA, Santa Clara
Source: NVIDIA careers · View original posting
From NVIDIA's posting. “We” and “our” refer to the employer.
We are seeking a highly technical and strategic Senior Technical Lead to join our team, with a focus on engaging developer ecosystems across emerging technology domains such as Generative AI, Autonomous Vehicles, and Simulation Platforms. In this pivotal role, you will work directly with software solution providers, developers, and industry professionals to foster the adoption of NVIDIA’s advanced AI and computing platforms—including Omniverse, Cosmos, and GenAI frameworks.
The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, real-world challenges.
Master’s or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
12+ years of experience 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 code 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.
Skilled at collaborating across engineering, product, sales, and marketing teams, with strong interpersonal abilities to simplify complex technical concepts for diverse audiences.
Experience leading technical collaborations with engineering and product teams—including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops.
Self-starter with a vision for growth, real passion for continuous learning and sharing findings across the team.
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) with a proven track record to profile and optimize inference latency and throughput, memory and I/O utilization.
Successful history of building and scaling developer communities and delivering impactful technical enablement programs.
With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.
#AutonomousVehicles
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 27, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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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