Solutions Architect - Autonomous Vehicles

Join NVIDIA's Tegra Solutions Engineering team in reshaping the future of driving. We're building scalable solutions for autonomous vehicles to create safer and more efficient roads. As a solutions architect, you'll be a trusted technical advisor to our partners and customers, enabling their productivity and collaborating with internal teams to develop the best solutions.

Responsibilities:

• Lead vehicle software integration and bring-up activities with internal and external partner teams
• Drive use case analysis, define functional requirements, and test ADAS features
• Examine and diagnose key factors driving metrics, uncover trends, and prioritize engineering initiatives
• Customize and reconfigure processing pipelines in the software stack
• Integrate hardware and software components efficiently and build scalable solutions with partners
• Collaborate with global engineering teams in the US, APAC, and Europe to deploy solutions to customers

Requirements:

• Well-rounded knowledge of autonomous vehicle stacks and real-world experience solving challenges
• 5+ years of work 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
• Excellent C/C++ development skills with good knowledge of Python
• Established proficiency in system performance and complexity evaluation
• Experience with automotive design processes and standards (e.g., ISO 26262 FuSa, ISO 21448 SOTIF, ASPICE)
• Ability to adapt to fast-paced development lifecycles and multi-functional organizations
• Strong analytical skills and attention to detail

Preferred Qualifications:

• Familiarity with 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
• Experience as an ADAS software engineer at a Tier 1 or OEM
• In-vehicle networking and application frameworks: CAN, Flexray, Ethernet, Some/IP, Classical and Adaptive AUTOSAR