Senior Deep Learning Engineer – Autonomous Vehicles

Job Description

NVIDIA is seeking a Senior Deep Learning Systems Engineer to work on their Autonomous Vehicles project. The role involves building and scaling training libraries and infrastructure for end-to-end autonomous driving models.

Requirements

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, or related field, or equivalent experience
• 12+ years of professional experience building and scaling high-performance distributed systems, ideally in ML, HPC, or large-scale data infrastructure
• Extensive knowledge in deep learning frameworks, large scale training, and performance profiling
• Strong systems background in datacenter networking, parallel filesystems, storage systems, and schedulers
• Proficiency in Python and C++, with experience writing production-grade libraries and automation tools
• Ability to work closely with multi-functional teams and translate requirements into robust systems

Responsibilities

• Crafting, scaling, and hardening deep learning infrastructure libraries and frameworks
• Improving efficiency throughout the training stack
• Building robust training pipelines and libraries for massive video datasets
• Collaborating with researchers, model engineers, and platform teams
• Owning core infrastructure components and partnering with leadership for scalability

Benefits

• 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.