Senior Manager, Machine Learning Ops Engineering - Automotive

NVIDIA

Santa Clara, CA, US
Base: 272,000 usd - 431,250 usd; bonus/equity: equ...
End-to-end data and ml pipelines
Cloud-scale pipelines
Multimodal sensor data processing
Lead the build, development, and operation of large-scale, end-to-end data and ML pipelines that power NVIDIA’s autonomous driving products

Job Summary

  • Lead the build, development, and operation of large-scale, end-to-end data and ML pipelines that power NVIDIA’s autonomous driving products.
  • Own the architecture, execution, and operational excellence of large-scale, cloud-native pipelines for multimodal sensor data ingestion, processing, labeling, and validation.
  • Balance hands-on technical depth with people leadership, providing technical guidance, mentorship, and career development for senior engineers and managers.

Matching Summary

Lead the build, development, and operation of large-scale, end-to-end data and ML pipelines that power NVIDIA’s autonomous driving products.

Salary

Base: 272,000 USD - 431,250 USD; Bonus/Equity: Equity eligible; Benefits: Extensive benefits plan

Skills & Requirements

Must-have

  • end-to-end data and ML pipelines
  • cloud-scale pipelines
  • multimodal sensor data processing
  • MLOps systems development
  • Python and C++ proficiency
  • distributed systems operation

Nice-to-have

  • customer-focused development
  • scaling systems and teams
  • passion for ownership
  • AV-scale data platforms
  • AI tools in recruiting

Key Requirements

  • 10+ years overall engineering experience
  • 5+ years engineering management experience
  • Bachelor's or equivalent experience
  • Autonomous Vehicles or Robotics experience

Work Rights

Not specified

Tailored Resume

Cover Letter