Senior Solutions Architect - Autonomous Vehicles

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$152,000–$241,500 / yr
Posted
40 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $224k
This role $197k
$139k most similar roles pay here $276k

This role pays less than 67% of similar roles. Most pay $193,000–$255,625 — the shaded band above. At the midpoint, this role pays about $197k versus about $224k for comparable roles.

Based on 240 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 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

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At a glance

TL;DR · Senior Solutions Architect - Autonomous Vehicles

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Join NVIDIA's Solutions Engineering team as a solutions architect, where you will lead the integration of vehicle software and collaborate with internal and external teams to develop autonomous driving solutions. Your day-to-day responsibilities include analyzing use cases, defining functional requirements, testing ADAS features, customizing processing pipelines, and integrating hardware and software components efficiently. You must have 5+ years of experience in embedded systems or autonomous driving technologies, along with a strong background in C/C++ development and Python knowledge. Proficiency in system performance evaluation, automotive design processes like ISO standards, and familiarity with NVIDIA’s DRIVE platform are essential. Adaptability to fast-paced environments, analytical skills, and expertise in middleware frameworks such as QNX RTOS and AUTOSAR will be key to success in this role.

Skills

C/C++ Python NVIDIA DRIVE platform CUDA QNX CAN FlexRay Ethernet Some/IP AUTOSAR ISO 26262 FuSa ISO 21448 SOTIF ASPICE CI/CD

What you'll do

  • Lead vehicle software integration and bring-up activities for autonomous driving solutions.
  • Drive use case analysis and define functional requirements for ADAS features.
  • Diagnose key factors affecting product metrics to prioritize engineering initiatives.
  • Customize and rebuild processing pipelines within the software stack.
  • Integrate hardware and software components to build scalable autonomous vehicle solutions.
  • Collaborate with global engineering teams to deploy solutions to customers.

What we're looking for

  • 5+ years of experience in embedded systems/software development related to autonomous driving technologies.
  • BS/MS in computer science, robotics, electrical engineering, or a related technical field (or equivalent).
  • Proficient in C/C++ and Python for software development.
  • Experience with automotive design processes and standards such as ISO 26262 FuSa, ISO 21448 SOTIF, ASPICE.
  • Strong analytical skills and ability to innovate solutions under fast-paced development cycles.
  • Familiarity with NVIDIA DRIVE platform and CUDA programming.
  • Knowledge of in-vehicle networking and application frameworks like CAN, Flexray, Ethernet, Some/IP.

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