Senior Solutions Architect - Autonomous Vehicles

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 as a result, create safer and more efficient roads. Our team is hands-on, passionate about practical results, and values diversity. We are looking for solutions architects, who are experts, trusted technical advisors and leaders to our partners and customers, that believe in deep learning, data science, and artificial intelligence will transform autonomous driving. We need individuals who can enable customer productivity, develop positive relationships with our technology partners and collaborate with internal teams to develop the best solutions for partners working on our platform.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. If you are passionate in bringing autonomous vehicles into the world and see the solution come together, we would like to hear from you!

What you'll be doing:

• 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.

• Customize, reconfigure and rebuild processing pipelines in the software stack.

• Integrate hardware and software components efficiently and build scalable solutions alongside our partners

• Collaborate with our global engineering teams in our US, APAC, and Europe locations to deploy solutions to our customers.

What we need to see:

• 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.Applications for this job will be accepted at least until July 5, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.