NVIDIA is seeking a Senior MLOps Engineering Manager to lead the Autonomous Driving organization in Santa Clara, CA, where you will manage end-to-end data pipelines for multimodal sensor data including camera, lidar, and radar. This role involves architecting, executing, and ensuring operational excellence of large-scale cloud-native systems that support model training and validation at AV scale. You will collaborate with perception, ML, data labeling, infrastructure, and product teams to develop robust MLOps systems and define technical roadmaps aligned with customer needs. The ideal candidate has 10+ years of engineering experience, including 5+ in management, with expertise in Python, C++, distributed systems, cloud infrastructure, CI/CD, and data platforms. Experience in autonomous vehicles, robotics, computer vision, or GPU-accelerated computing is a plus, as is a strong background in MLOps and cloud-based distributed systems.
Skills
Python
C++
MLOps
CI/CD
Distributed Systems
Cloud Infrastructure
Autonomous Vehicles
Robotics
Computer Vision
Deep Learning
GPU-accelerated computing
3D Geometry
Perception Pipelines
Workflow Orchestration
What you'll do
Lead the development and operation of large-scale, cloud-native data pipelines for multimodal sensor data in autonomous driving technology.
Own the architecture and execution of robust MLOps systems supporting model training, ground truth generation, and continuous evaluation at AV scale.
Define technical vision and roadmap for end-to-end data pipelines, ensuring consistent delivery against program achievements.
Partner with cross-functional teams to translate customer requirements into reliable production systems for autonomous driving features.
Provide technical guidance and mentorship to senior engineers and managers while balancing hands-on involvement with leadership responsibilities.
What we're looking for
10+ years of engineering experience with production-grade distributed systems.
5+ years of management experience guiding teams on large-scale system delivery.
Strong background in MLOps, data pipelines, and cloud-based distributed systems.
Proficiency in Python and C++ for system-level and performance-critical builds.
Experience developing end-to-end data or ML pipelines with high reliability.
Prior experience in Autonomous Vehicles, Robotics, Computer Vision, Deep Learning.
Excellent communication and leadership skills for multi-functional collaboration.
Market check
Salary context
This
$272,000–$431,250
range sits above
98%
of similar postings on FindRole.
Peer median band
$170,000–$262,400
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$184,443–$250,000
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
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
Nvidia currently has
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 roles with salary data.