Senior Solutions Architect, Autonomous Driving, GenAI

Nvidia

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Posted
129 days ago
Freshness
Confirmed live 2 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $220k
This role $236k
$172k most similar roles pay here $300k

This role pays more than 63% of similar roles. Most pay $184,900–$254,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $220k for comparable roles.

Based on 239 similar postings.

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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior Solutions Architect, Autonomous Driving, GenAI

As a Senior Solutions Architect, Autonomous Driving - GenAI on the Automotive Solutions Architecture team, you will serve as the primary technical expert for customers adopting full-stack technologies. You will engage with developers and researchers to scope and develop solutions for autonomous vehicle perception, planning models, simulations, synthetic data generation, and software in the loop testing. Your daily work involves providing technical mentorship on the GenAI stack, guiding customers through Agentic AI workflows, and building collateral like notebooks and GitHub repositories for model training and validation. You will utilize Python, C++, Linux, PyTorch, and CUDA-X libraries while leveraging DevOps tools like Docker and Kubernetes. The role addresses complex challenges in autonomous vehicle systems, including sensor fusion, prediction, and navigation, while solving problems related to LLMs, VLMs, and video encoding within the Physical AI domain.

What does a Solutions Architect earn in California?

Median $235750 from 45 postings across 8 companies.

See salary data

What you'll do

  • Scope and develop solutions for AV perception models, planning pipelines, and synthetic data generation.
  • Provide hands-on technical mentorship to partners and customers on the NVIDIA GenAI stack.
  • Guide customers in developing and deploying Agentic AI workflows using NVIDIA's accelerated computing platforms.
  • Lead proof-of-concept evaluations to gather internal feedback for product improvements.
  • Create technical collateral including notebooks, GitHub repositories, and demos for data curation and model training.
  • Quantify the benefits of NVIDIA’s hardware and software across various customer use cases.
  • Partner with internal teams to drive adoption of NVIDIA's full-stack technologies.

What we're looking for

  • Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
  • 8+ years of hands-on experience in a technical AI role with an emphasis on AV End-to-End models and GenAI development.
  • Proficiency in writing production code in Python or C++ and proficiency with Linux.
  • Hands-on experience with DevOps tools including GitLab, Docker, and Kubernetes.
  • Strong understanding of AV systems including sensors, dynamics, perception, prediction, planning, and control.
  • Experience with Deep Learning (DL) and Reinforcement Learning (RL) algorithms and frameworks like PyTorch.
  • Effective verbal/written communication and technical presentation skills.
  • Ability to collaborate across multiple teams including engineering, research, product, sales, and marketing.

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