Senior Technical Product Manager, Rules of Road Perception – Autonomous Vehicles

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Define and shape the future of NVIDIA’s autonomous driving software.

• Take ownership of key components within the perception stack, particularly regarding global rules-of-the-road comprehension.

• Grasp how this component connects to autonomous driving, parking, and active safety maneuvers.

• Identify pertinent challenges for teams to tackle.

• Design, prioritize, and implement technological solutions alongside leading experts.

• Guide teams in outlining and executing advanced perception technology product roadmaps for both parking and driving.

• Work in collaboration with technical product managers and leads to break down self-driving challenges into prioritized technical requirements.

• Engage with engineering leaders to transform requirements into competitive roadmaps that support comprehensive system objectives.

• Coordinate with teams and internal stakeholders to deliver roadmaps, resolve bottlenecks, address challenges, and assess outcomes.

• Cultivate a profound technical understanding of the entire stack and influence the technical trajectory.

⛳️ Requirements

• Robust technical expertise in perception and computer vision for autonomous vehicles, driving/parking, robotics, or ADAS systems.

• Practical leadership abilities in communication, influencing, and building multifunctional teams across various time zones.

• Innovative problem-solving capabilities; adept at navigating ambiguity, reaching consensus, and making informed decisions.

• Focus on execution and experience in bringing pioneering products and technologies to fruition.

• Over 12 years of relevant professional experience.

• At least 5 years of recent experience in Product or Program Management.

• BS/MS in Computer Science, Engineering, or a related discipline, or equivalent experience.

• Relevant domain knowledge or experience in AV perception, computer vision, or robotics.

• Experience within a dynamic AI or Autonomous Vehicle organization.

• Established technical background in a related field, such as software engineering, systems engineering, or machine learning engineering.

• Eagerness and motivation to learn new concepts and tackle challenging problems.

🏝️ Benefits

• Equity

• Benefits

• Equal opportunity employer

• Inclusive work environment