NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Join NVIDIA, where we are driving powerful advancements in the autonomous driving sector! As part of our Automotive Platform solutions team, you will integrate world-class technologies within the Core part of the Autonomous Driving Software Stack. Our team focuses on multimedia, imaging, and connectivity in a Multi-OS environment on NVIDIA Multi-Processor SoC. We are seeking an outstanding Verification Engineer to contribute to our mission of developing safety-certified software for automotive platforms. This is your chance to work with innovative technology in an encouraging and diverse environment.
What you'll be doing:
Crafting and building system level test software stacks by applying APIs provided by various software elements such as camera, imaging, inference engine software, boot software, and error handling frameworks against the safety and security requirements.
Following automotive safety and security processes, analyzing requirements, and architecture to identify hardware and software integration aspects for system-level test cases.
Collaborating with various component teams to support customers, enable issue re-creation, provide app references, build sanity reports, and contribute to software solutions, ensuring software quality.
Building innovative ways to improve and expand safety software integration testing methods, aligning with functional, performance, safety, and security needs.
Assisting with automation, dashboards, trackers, and crafting effective and measurable reports.
Working in a dynamic, equal opportunity-based, diverse work environment.
What we need to see:
Bachelor's or higher degree in electrical/electronics/computer science engineering.
A minimum of 4 years of experience in embedded software.
Familiarity with tools such as JAMA, JIRA, Microsoft Excel, collaboration tools, Office scripts (Microsoft Excel), and source control systems (Git, Perforce).
Practical experience with scripting languages (Python etc.), REST API (server-client APIs), code instrumentation, static code analysis (Understand, Coverity, etc.), and test/automation frameworks.
Strong programming skills in C or C++ in an embedded OS environment.
Ability to collaborate with multiple development teams to gain and share knowledge, refine processes, and identify system integration aspects.
Capacity to work in a fast-paced and dynamic environment.
Ways to stand out from the crowd:
Practical knowledge of camera, imaging software, or other complex middleware on Linux, QNX, or other real-time operating systems.
Detailed understanding of OS fundamentals in application space, multi-processor/threading, and client-server models.
Working knowledge in the automotive domain, software development process areas, and automotive safety standards (ASPICE, ISO26262, ISO21434, MISRA-C, CERT-C, etc.).
Excellent analytical skills, written and verbal communication skills, and an ambitious demeanor.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
