Senior Solutions Architect - Autonomous Vehicles

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Gruppe seeks solutions architects for its Solutions Engineering team in Santa Clara, California. You'll lead the integration of vehicle software and collaborate with global partners to launch innovative autonomous vehicle solutions.

The ideal candidate has a strong background in embedded systems, 5+ years of experience, excellent C/C++ skills, and familiarity with automotive design processes. The position offers a base salary range of $152,000–$241,500 for Level 3 and $184,000–$287,500 for Level 4.

A commitment to diversity and equal opportunity is paramount at NVIDIA.

Qualifications

• 5+ years of work-related experience in software development related to embedded systems or autonomous driving technologies.
• Well-rounded knowledge of how an autonomous vehicle stack functions.
• Established proficiency in system performance and complexity evaluation.

Responsibilities

• Lead vehicle software integration and bring-up activities.
• Drive use-case analysis, functional requirements definition, and testing of ADAS features.
• Collaborate with global engineering teams to deploy solutions.

Skills

C/C++ development skills

Knowledge of Python

Analytical skills

Experience with automotive design processes

System performance evaluation

Education

BS/MS in computer science, robotics, electrical engineering, or related field

Tools

NVIDIA GPU hardware

QNX or equivalent RTOS

Job description

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.

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 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.

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 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., ISO26262 FuSa, ISO21448 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, a drive for innovative solutions, and outstanding attention to detail.

Ways to stand out from the crowd

• 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, 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, $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 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.