Engineering Manager, Prediction And Planning - Autonomous Vehicles

Nvidia Corporation

CA, United States
Base: 224,000 usd - 356,500 usd (level 3) / 272,00...
On-site
Ai-native autonomous driving architecture
Classical x e2e hybrid autonomy stacks
Scalable ai systems integration
Nvidia Corporation is seeking an Engineering Manager for their Prediction and Planning team focused on autonomous vehicles. The ideal candidate will drive the development of advanced AI-driven autonomous driving systems while managing a high-performing engineering team

Job Summary

  • You will lead teams building the architecture behind next-generation autonomous driving systems while driving execution from research through production.
  • Drive architecture development across Prediction / Planning / Decision / Control and guide the integration of AI-native driving systems.
  • Build and grow a high-performing autonomy engineering team, mentor senior engineers, and develop future technical leaders.

Matching Summary

Match Score: 85

Nvidia Corporation is seeking an Engineering Manager for their Prediction and Planning team focused on autonomous vehicles. The ideal candidate will drive the development of advanced AI-driven autonomous driving systems while managing a high-performing engineering team.

Salary

Base: 224,000 USD - 356,500 USD (Level 3) / 272,000 USD - 431,250 USD (Level 4); Bonus/Equity: Equity; Benefits: Benefits

Skills & Requirements

Must-have

  • AI-native autonomous driving architecture
  • Classical x E2E hybrid autonomy stacks
  • Scalable AI systems integration
  • Safety architecture and fallback strategies

Nice-to-have

  • Simulation-based validation
  • Data-driven quality tracking
  • Deep knowledge of E2E AV software integration

Key Requirements

  • BS, MS or PhD in Computer Science, Robotics, or related engineering field (or equivalent experience)
  • 4+ years of experience managing a team
  • 8+ years of overall meaningful experience
  • Deep experience in self-driving vehicle technologies or robotics platforms
  • Strong understanding of Prediction / Planning / Control architectures
  • Experience with large-scale AI systems or ML infrastructure
  • Proven track record to drive complex technical programs across multiple teams
  • Experience building and scaling high-performing engineering teams

Work Rights

Not specified

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