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About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
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The Customer Program Manager - Automotive joins the Customer Program Management Team within the Automotive business unit to lead autonomous driving, robo-taxi, and AI in the car programs for Tier-1 and car OEMs. This role involves managing program execution and customer relations, specifically leading customer-facing programs involving ADAS, perception, simulation, and software-defined vehicle platforms. Responsibilities include defining program schedules, translating customer requirements into functional tasks, and managing data campaign initiatives such as sensor coverage, labeling needs, and dataset readiness. The successful candidate must possess a strong engineering background and experience with machine learning, data science workflows, ML Ops, and GPU-accelerated training. Key skills include managing global projects, handling complex hardware and software product development, and coordinating functional teams to solve technical and logistic issues.
Lead customer-facing automotive programs involving AI, autonomous driving, and software-defined vehicle platforms.
Define and execute data campaign initiatives including sensor coverage, scenario targets, and labeling needs.
Translate customer requirements into specific tasks for all functional areas and drive issues to closure.
Define program schedules and milestones based on customer roadmaps and requirements.
Communicate program status and key issues to customers and internal management across different geographical zones.
Coordinate with engineering, quality, logistics, and sales teams to resolve technical and logistic issues.
Identify and represent the priority of issues to ensure appropriate escalation and resolution.
What we're looking for
Have 12+ years of experience in project/program management in the Automotive or Embedded Industry for electrical/electronic and software products.
Possess a strong technical background and experience working with customers in an OEM environment.
Have experience handling global projects with multinational program members.
Hold a BS/MS or equivalent experience in Engineering or Computer Science, or an MBA with a prior technical background.
Understand machine learning and data science workflows, including data ingestion, labeling, feature analysis, model training, evaluation, validation, and deployment.
Have experience supporting or leading data campaign initiatives for automotive, robotics, autonomy, perception, mapping, simulation, or other AI-heavy domains.
Have exposure to ML Ops, data operations, cloud AI infrastructure, GPU-accelerated training, simulation pipelines, synthetic data, or large-scale data management.
Have a track record in managing complex hardware and software product development preferably in the automotive industry (preferred).