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Nvidia Principal Product Manager - Autonomous Vehicles 
China, Shanghai 
252852648

24.06.2024

What you will be doing:

  • Define top level product architecture and capabilities by synthesizing input from customers, government regulations, competitors benchmarking, and internal/external engineering teams

  • Lead the negotiation with customers on the feature roadmap and prioritization of capabilities

  • Ensure use case definitions, system design, safety and other elements of the product are appropriately analyzed and aligned with the product goals.

  • Own and Drive the end to end execution of the product through technical engagements (Architecture design, KPI reviews, etc) both internally and externally.

  • Ensure the development is proceeding as planned and lead issue resolution when the development process is blocked.

  • Influence the architecture where applicable to align with future capabilities beyond the current SOP targets.

  • Proactively identify gaps that may exists in the product or development process and drive effort to close the gaps.

  • Work with product planning to ensure program schedules are adhered to and support maintaining a program risk open list

  • Partner with the functional leaders across Product, HW, SW, Safety, Integration, Operations, as well as the OEMs to support their efforts in launching a successful product

  • Be responsible for customer engagements to ensure alignment across all customers and support pre-sale discussions as needed

What we need to see:

  • BS/MS (or equivalent experience) in engineering with 15+ years of experience in both software and hardware platforms.

  • You are a Self-starter, with a 'can-do' attitude in a multifaceted environment.

  • Experience working in a software development environment

  • Experience with product requirements management tools (e.g. JAMA)

  • Track record of leading the launch of technically complex products to customers

  • Strong technical leadership and communication skills, with the ability to drive alignment across large organizations and with customers


Ways to stand out from the crowd:

  • Background in autonomous vehicles, Driver Assist technology, and/or machine learning

  • Exposure developing and/or leading development of ADAS functions/products

  • Experience with customer management & interaction