Senior Solutions Architect - Autonomous Vehicles

Join NVIDIA's Solutions Engineering team that is reshaping the future of driving. We build and deploy scalable solutions for autonomous vehicles to create safer and more efficient roads. Our team is hands‑on, passionate about practical results, and values diversity. We are looking for solutions architects—trusted technical advisors and leaders—who believe deep learning, data science, and artificial intelligence will transform autonomous driving. 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, define functional requirements, critical metrics, and test ADAS features. Examine and diagnose key factors driving these metrics, uncover trends, and prioritize engineering initiatives that 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—US, APAC, and Europe—to deploy solutions to customers. What we need to see Well‑rounded knowledge of how an autonomous vehicle stack—and 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., ISO26262FuSa, ISO21448SOTIF, 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, striving for innovative solutions, with outstanding attention to detail. Ways to stand out from the crowd Familiarity with NVIDIA DRIVE platform and 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, 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 152,000USD–241,500USD for Level3, and 184,000USD–287,500USD for Level4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July5, 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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. #J-18808-Ljbffr NVIDIA Corporation