NVIDIA is looking for a Senior MLOps Engineer to join their Autonomous Driving organization in Santa Clara, CA. This role focuses on designing and operating end-to-end data and ML pipelines for autonomous driving products. The engineer will work with multimodal sensor data and contribute to the development of cloud pipelines that support NVIDIA's AV program. The position requires strong technical leadership and collaboration across various teams to deliver scalable systems.

• Bachelor's or equivalent experience, Master's, or PhD in Computer Science, Electrical Engineering, or a closely related field.
• 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 ML 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.
• Strong communication skills that align collaborators and drive execution across functions.
• A record of ownership, accountability, and customer-focused engineering.

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

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.