Senior Solutions Architect - Autonomous Vehicles

Join 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—people who believe 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.

• 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 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 the US, APAC, and Europe to deploy solutions to our customers.

• 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 a 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 life cycles and multi‑functional organizations, new technologies and platforms.
• Strong analytical skills, a drive for innovative solutions, and outstanding attention to detail.

• Familiarity with the NVIDIA DRIVE platform, NVIDIA GPU hardware, and CUDA programming.
• Software development experience on QNX or an equivalent RTOS.
• Prior experience in application development and familiarity with middleware frameworks and intricate system‑level integrations.
• Experience as an ADAS software engineer at a Tier1 or OEM.
• In‑vehicle networking and application frameworks: CAN, Flex Ray, 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 Level3, $184,000

USD–287,500

USD for Level
4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May1,2026.

NVIDIA is committed to fostering a diverse work environment and is an equal‑opportunity employer. We do not discriminate 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.