If you're passionate about autonomous vehicles, we would love to hear from you! The Autonomous Vehicles Program Management team is searching for a creative and experienced Technical Program Manager to lead the end-to-end development of new autonomous driving features for NVIDIA's autonomous vehicle platform. We are the leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing and self-driving cars. As a key member of our Automotive Vehicles Program Team, you will be a key leader responsible for the software development execution of our autonomous driving software stack. NVIDIA gives automakers, Tier 1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for self-driving vehicles. Today, we are working with over 270 partners that are using our platform in the development of autonomous cars, trucks, shuttles and taxis.
What you'll be doing:
Leading automotive software development across multiple engineering teams related to ADAS/Autonomy features.
Working with the engineering leads to define product and roadmaps, develop schedules, and drive the execution and tracking of these across the organization.
Coordinating release content and efforts with multiple program managers and engineering managers who own individual components.
Identifying and handling risks, and resolving issues that affect release scope, schedule and quality.
Establishing metrics to assess and improve product quality and execution.
Regularly communicating the program status and key issues to management and multi-functional teams within the organization.
What we need to see:
BS/MS Computer Science, Electrical Engineering or related field (or equivalent experience)
8+ years of recent Program/Product Management experience, including driving the planning and execution of complex software engineering projects, and releasing commercial products.
Proven experience in Automotive, Perception, Path Planning and/or AI.
Strong leadership and interpersonal skills. Demonstrated ability to collaborate on global projects across teams and time zones.
Experience with Jira and/or JAMA, to the point that you can comfortably guide an engineering team how to use these tools.
Ways to stand out from the crowd:
Proven experience leading end-to-end development of ADAS or self-driving features
Experience as software engineer, software QA or systems engineer.
Background in a fast-paced Automotive OEM or supplier.
You will also be eligible for equity and benefits.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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