Senior MLOps Engineer

at Nvidia

USD 184,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI CI/CD @ 6 Communication @ 6 Computer Vision @ 4 Data Pipelines @ 4 Debugging Deep Learning @ 4 Distributed Systems @ 7 GPU @ 4 Leadership @ 6 MLOps @ 4 Machine Learning @ 4 Observability @ 4 Python @ 6 Robotics @ 4 Technical Leadership @ 6

Details

NVIDIA is seeking a Senior MLOps Engineer to join its Autonomous Driving organization in Santa Clara, California. This individual contributor will design and operate end-to-end data and machine learning pipelines for NVIDIA's autonomous driving products.

The role builds and operates cloud pipelines that ingest, validate, process, and transform multimodal sensor data from cameras, lidar, and radar into training, evaluation, and validation datasets. These pipelines support NVIDIA's autonomous vehicle program and customer-facing autonomy features.

Responsibilities

Design, build, and operate data pipelines supporting NVIDIA's autonomous driving technology from levels L2 through L4.
Own the architecture, implementation, and operations of cloud pipelines that ingest, process, label, and validate sensor data.
Build observable MLOps systems for model training, ground-truth generation, and continuous evaluation at autonomous-vehicle scale.
Translate customer and program requirements into production systems in collaboration with perception, machine learning, data labeling, infrastructure, and product teams.
Set technical direction, roadmaps, metrics, and operational benchmarks, and deliver against program milestones.
Build systems that deliver measurable value to internal and external autonomous-vehicle customers.
Contribute through design reviews, implementation, debugging, code reviews, and mentorship.
Work across Python, C++, distributed systems, cloud infrastructure, CI/CD, and data platforms.

Requirements

Bachelor's degree or equivalent experience, master's degree, or PhD in Computer Science, Electrical Engineering, or a closely related field, or equivalent experience.
8+ years of engineering experience designing and delivering production distributed systems.
Technical leadership as a senior individual contributor delivering large-scale systems.
Experience with MLOps, data pipelines, and cloud distributed systems.
Proficiency in Python and C++ for system-level and performance-critical implementation.
Experience operating end-to-end data or machine learning pipelines for reliability, scale, and observability.
Prior experience in one or more of the following domains: autonomous vehicles, robotics, computer vision, deep learning, or GPU-accelerated computing.
Communication skills to align collaborators and drive execution across functions.
A record of ownership, accountability, and customer-focused engineering.

Preferred Qualifications

Experience with autonomous-vehicle data platforms handling petabyte-scale sensor data.
Hands-on contributions to production MLOps or data infrastructure.
Experience with automotive or robotic systems, including real-world sensor data pipelines.
Background in distributed cloud systems, workflow orchestration, and large-scale CI/CD.
Familiarity with 3D geometry, perception pipelines, or data generation based on simulated environments.

Compensation and Benefits

The base salary will be determined based on location, experience, and the pay of employees in similar positions. The base salary range is USD 184,000–287,500 for Level 4 and USD 224,000–356,500 for Level 5. The employee will also be eligible for equity and benefits.

Applications will be accepted at least until August 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.