Senior Deep Learning Engineering - Autonomous Vehicles

NVIDIA • Redmond, CA

4d

About The Position

NVIDIA is transforming the future of autonomous driving, from silicon to full-stack AI systems. We are seeking a highly skilled Deep Learning Engineer to develop systems and algorithms for extracting intelligence from petascale fleets. This role offers an opportunity to build the data engine powering one of the world’s most advanced AI platforms. We are looking for hands-on experience training and deploying Large Language Models (LLMs) and Vision-Language Models (VLMs) in production environments. You will collaborate with other researchers and software engineers to bring pioneering AI models from prototype to production.

Requirements

• Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience)
• 10+ years of professional experience in deep learning or applied machine learning.
• Strong foundation in deep learning algorithms, including hands-on experience with LLMs and VLMs
• Deep understanding of general transformer architectures, inference bottlenecks, and popular model architectures such Qwen family.
• Proficient in building and deploying models using PyTorch in production-grade environments.
• Solid programming skills in Python

Nice To Haves

• Proven experience deploying LLMs or VLMs at scale in real-world applications using vLLM, SGLang.
• Hands-on experience with SFT, DPO, GRPO techniques for fine-tuning
• Proven experience in developing image and video search solutions at scale.

Responsibilities

• Explore SOTA LLM/VLM models for search and classification of AV scenarios
• Hands on model developments such as fine-tuning large LLM/VLMs for internal use cases
• Collaborate with software engineers and researchers to ensure seamless integration of models from training to deployment.

Benefits

• equity
• benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior