Senior Deep Learning Engineering - Autonomous Vehicles

Nvidia

Actively hiring
Santa Clara, US · Redmond, US Posted 15 days ago $224,000–$356,500 / year
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At a glance

AI generated

TL;DR

As a Deep Learning Engineer at NVIDIA’s autonomous driving division, you will join a cutting-edge team dedicated to advancing AI systems that power next-generation robots on wheels. Your primary responsibilities include exploring state-of-the-art Large Language Models (LLMs) and Vision-Language Models (VLMs) for scenario search and classification in autonomous vehicles, fine-tuning these models for internal use cases, and collaborating with software engineers and researchers to integrate them seamlessly from training to deployment. The ideal candidate has over 10 years of experience in deep learning or applied machine learning, a strong foundation in transformer architectures, and proficiency in deploying PyTorch models in production environments using tools like vLLM and SGLang. Additionally, hands-on experience with techniques such as SFT, DPO, and GRPO for model fine-tuning is essential, along with expertise in developing large-scale image and video search solutions.

Skills

Python PyTorch LLMs VLMs vLLM SGLang SFT DPO GRPO Transformer architectures Deep learning algorithms

What you'll do

  • Develop and fine-tune large LLM/VLM models for internal use cases.
  • Explore state-of-the-art (SOTA) LLM/VLM models for AV scenario classification.
  • Integrate AI models from training to deployment with software engineers.
  • Deploy Large Language Models and Vision-Language Models at scale in production.
  • Implement SFT, DPO, GRPO techniques for fine-tuning large-scale models.
  • Develop image and video search solutions at scale using advanced algorithms.

What we're looking for

  • Master’s or PhD in a relevant technical field or equivalent experience.
  • 10+ years of professional deep learning or applied machine learning experience.
  • Strong foundation in deep learning algorithms, including LLMs and VLMs.
  • Proficient in PyTorch for building and deploying models in production environments.
  • Experience deploying large language and vision-language models at scale.
  • Hands-on experience with fine-tuning techniques such as SFT, DPO, GRPO.
  • Proven track record in developing image and video search solutions at scale.

Market check

Salary context

This $224,000–$356,500 range sits above 94% of similar postings on FindRole.

Peer median band

$184,000–$262,400

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$184,593–$246,150

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 801 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 797 roles with salary data.

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