Senior MLOps Engineer: AV Data Pipelines Lead

NVIDIA Corporation; Santa Clara, Northern (CA, KY); Hybrid; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Santa Clara, CA is seeking a Senior MLOps Engineer to design and operate end-to-end data and ML pipelines for autonomous driving. You will own cloud pipelines ingesting and transforming multimodal sensor data for training, evaluation, and validation datasets.

The role requires strong leadership, Python and C++ skills, and experience with distributed systems, CI/CD, and cloud infrastructure to scale AV data platforms across teams.

Qualifications

• 8+ years of engineering experience delivering production distributed systems.
• Experience with MLOps, data pipelines, and cloud distributed systems.
• Strong Python and C++ for system-level implementations.
• Able to own architecture, direction, and collaboration across teams.

Responsibilities

• Design, build, and operate data pipelines for autonomous driving data.
• Own architecture, implementation, and operations for cloud pipelines.
• Build observable MLOps systems for training, ground truth, and evaluation.
• Collaborate across perception, ML, data labeling, infra, and product teams.

Skills

Python

C++

Distributed systems

MLOps

Cloud infrastructure

CI/CD

Technical leadership

Communication

Education

Bachelor’s degree in CS/EE or related

Master’s or PhD preferred

Tools

CI/CD

Docker

Kubernetes

Cloud platforms

Job description

NVIDIA Corporation in Santa Clara, CA is seeking a Senior MLOps Engineer to design and operate end-to-end data and ML pipelines for autonomous driving. You will own cloud pipelines ingesting and transforming multimodal sensor data for training, evaluation, and validation datasets.

The role requires strong leadership, Python and C++ skills, and experience with distributed systems, CI/CD, and cloud infrastructure to scale AV data platforms across teams.