Senior Solutions Architect - Autonomous Vehicles

at Nvidia

📍 Santa Clara, United States

USD 152,000-287,500 per year

SENIOR

✅ On-site

Used Tools & Technologies

Not specified

Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Software Development @ 6 Python @ 8 Networking @ 4 CUDA @ 3 GPU @ 3 AI @ 4 Robotics @ 4

Details

Join NVIDIA's Solutions Engineering team that is reshaping the future of driving. The team builds and deploys scalable solutions for autonomous vehicles to create safer and more efficient roads. The role is hands-on and focused on enabling customer productivity, developing relationships with technology partners, and collaborating with internal teams to deliver solutions on NVIDIA's platform.

Responsibilities

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, define critical metrics and test ADAS features.
Examine and diagnose factors driving metrics, uncover trends, and prioritize engineering initiatives to improve product experience.
Customize, reconfigure, and rebuild processing pipelines in the software stack.
Integrate hardware and software components efficiently and build scalable solutions alongside partners.
Collaborate with global engineering teams across the US, APAC, and Europe to deploy solutions to customers.

Requirements

Well-rounded knowledge of how an autonomous vehicle stack (or similarly complex system) functions, with real-world experience integrating diverse components into scalable solutions.
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.
Proficiency in system performance and complexity evaluation to optimize systems 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, multi-functional organizations, new technologies and platforms.
Strong analytical skills, innovation mindset, and outstanding attention to detail.

Ways to stand out

Familiarity with NVIDIA DRIVE platform, 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 an ADAS software engineer at a Tier 1 supplier or OEM.
Experience with in-vehicle networking and application frameworks: CAN, FlexRay, Ethernet, SOME/IP, Classical and Adaptive AUTOSAR.

Compensation & Benefits

Base salary range: 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. Your base salary will be determined based on location, experience, and pay of employees in similar positions.
Eligibility for equity and benefits (link to NVIDIA benefits referenced in posting).

Other information

Applications accepted at least until February 6, 2026.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is an equal opportunity employer committed to diversity and nondiscrimination.