Join the NVIDIA's Tegra 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, that believe in 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.
NVIDIA is widely considered to be one of the technology world’s most desirable employers, and is committed to fostering a diverse work environment and proud to be an equal opportunity employer. If you are passionate in bringing autonomous vehicles into the world and see the solution come together, we would like to hear from you!
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 will 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 our US, APAC, and Europe locations 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 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 lifecycles and multi-functional organizations, new technologies and platforms.
- Strong analytical skills, strive for innovative solutions, with outstanding attention to details.
Ways to stand out from the crowd:
- Familiarity of 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 and intricate system-level integrations.
- Experience as ADAS software engineer at a Tier 1 or OEM
- In-vehicle networking and application frameworks: CAN, Flexray, Ethernet, Some/IP, Classical and Adaptive AUTOSAR.
Skills Required
- 5+ years of related software development experience in embedded systems and/or autonomous driving technologies
- Bachelor’s or master’s degree in computer science, robotics, electrical engineering, or a related technical field, or equivalent experience
- Excellent C and C++ development skills
- Good knowledge of Python
- Experience evaluating system performance and complexity to optimize systems and resolve application issues
- Experience with automotive design processes and standards, including ISO 26262 FuSa, ISO 21448 SOTIF, or ASPICE
- Experience with in-vehicle testing, simulation, and development guided by measurable outcomes
- Knowledge of autonomous vehicle stacks or similarly complex systems
- Real-world experience integrating diverse components into scalable solutions
- Strong analytical skills and attention to detail
- Familiarity with the NVIDIA DRIVE platform, NVIDIA GPU hardware, and CUDA programming
- Software development experience on QNX or an equivalent RTOS
- Application development experience and familiarity with middleware frameworks and system-level integrations
- Experience as an ADAS software engineer at a Tier 1 supplier or OEM
- Experience with CAN, FlexRay, Ethernet, SOME/IP, and Classical or Adaptive AUTOSAR
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
