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# Senior Solutions Architect - Autonomous Vehicles

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Permanent contract
- **Skills:** Application Frameworks, AUTomotive Open System Architecture (AUTOSAR), C++ (Programming Language), Nvidia CUDA, Computer Programming, Middleware, Ethernet, FlexRay, Python (Programming Language), Real-Time Operating Systems, ISO/IEC 15504, Software Engineering, Systems Integration, Information Technology
- **Published:** August 6, 2026
- **Apply:** https://www.juju.com/job/00000000glon9m

## About the Role

+ Well-rounded knowledge of how an autonomous vehicle stack-or any similarly complex system-functions, and real-world experience solving the challenges of bringing diverse components together into a scalable solution

 + 5+ years of work related experience in software development related to embedded systems and/or autonomous driving technologies.

 + BS/MS in computer science, robotics, electrical engineering, or related technical field (or equivalent experience).

 + Excellent C/C++ development skills with good knowledge of Python.

 + Established proficiency in system performance and complexity evaluation to optimize the system and resolve application issues.

 + Experience with automotive design processes and standards (e.g. ISO 26262 FuSa, ISO 21448 SOTIF, ASPICE), including in-vehicle testing, simulation and development guided by measurable outcomes.

 + Ability to adapt to fast paced development lifecycles and multi-functional organizations, new technologies and platforms.

 + Strong analytical skills, strive for innovative solutions, with outstanding attention to details.

Ways to stand out from the crowd:

 + Familiarity of NVIDIA DRIVE platform and NVIDIA GPU hardware and CUDA programming.

 + Software development experience on QNX or equivalent RTOS.

 + Prior experience in application development and familiarity with middleware frameworks and intricate system-level integrations.

 + Experience as ADAS software engineer at a Tier 1 or OEM

 + In-vehicle networking and application frameworks: CAN, Flexray, Ethernet, Some/IP, Classical and Adaptive AUTOSAR.

## Description

+ Lead vehicle software integration and bring-up activities, collaborating with internal and external partner teams to develop and launch autonomous vehicle solutions.

 + Drive use case analysis, functional requirements' definition, critical metric definition and testing of ADAS features

 + Examine and diagnose the key factors driving these metrics, uncover trends, and prioritize engineering initiatives that will most improve the product experience.


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