Senior Deep Learning Engineering - Autonomous Vehicles

Nvidia Corporation

Santa Clara (CA)

On-site

USD 224,000 - 356,500

Full time

14 days+

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Job summary

Nvidia Corporation in Santa Clara is seeking a Deep Learning Engineer to develop systems and algorithms that extract intelligence from large data sets. The role involves fine-tuning Large Language Models and Vision-Language Models, ensuring seamless integration from prototype to production.

Candidates should possess a Master’s or PhD in a relevant field, with 10+ years of experience in deep learning. Strong programming skills in Python and proficiency with PyTorch are essential. The position offers a competitive salary range of $224,000 to $356,500.

Qualifications

  • 10+ years of professional experience in deep learning or applied machine learning.
  • Strong foundation in deep learning algorithms.
  • Proficient in building and deploying models using PyTorch in production-grade environments.

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.

Skills

Deep learning algorithms
Large Language Models (LLMs)
Vision-Language Models (VLMs)
Programming in Python
Building and deploying models with PyTorch

Education

Master's or PhD in Computer Science or related field

Tools

PyTorch

Job description

Overview

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology—and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

At NVIDIA, we're building the future of autonomous driving - from the silicon to the full-stack AI systems that power next-generation robots on wheels. Our ability to deliver safe, scalable autonomy depends on one thing above all: Data. Extensive, diverse, high-quality data. We are seeking a highly skilled Deep Learning Engineer to develop systems and algorithms 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.

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.
Qualifications
  • 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 as Qwen family.
  • Proficient in building and deploying models using PyTorch in production-grade environments.
  • Solid programming skills in Python
Ways to stand out from the crowd
  • 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.
Compensation and benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 18, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

Equal Opportunity

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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