Description
Join the NVIDIA's Solutions Engineering team that is reshaping the future of driving. Our goal is to build and deploy scalable solutions for autonomous vehicles and create safer and more efficient roads.
As a Senior Solutions Architect - Autonomous Vehicles, you will lead vehicle software integration and bring-up activities, collaborating with internal and external partner teams to develop and launch autonomous vehicle solutions.
Key responsibilities include:
- 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
- Customize, reconfigure and rebuild processing pipelines in the software stack
- Integrate hardware and software components efficiently and build scalable solutions alongside our partners
We are looking for 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.
Requirements include:
- 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
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 1, 2026.