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NVIDIA
US, CA, Santa Clara
Source: NVIDIA careers · View original posting
From NVIDIA's posting. “We” and “our” refer to the employer.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we're tapping into the unlimited potential of AI to define the next era of computing — where our GPUs act as the brains of computers, robots, and self-driving cars that 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.
Join NVIDIA's Embedded Platform Middleware team [NvSci Team] — the group building the foundational system software that enables safe, high-performance data sharing and synchronization across GPUs, CPUs, and specialized accelerators on NVIDIA DRIVE (autonomous vehicles) and Jetson (robotics & edge AI) platforms.
Our middleware is the connective tissue that lets millions of safety-certified devices move data at silicon speed — deterministically, securely, and at scale. We work at the intersection of low-level systems software, safety-critical engineering, and ground breaking accelerator hardware. If you love shipping code that runs in real cars and real robots, this is your team.
BS or MS in CS, CE, EE, or related field — or equivalent experience.
8+ years of relevant software development experience.
Strong proficiency in C and modern C++ .
Deep experience with embedded systems and system architecture — multi-threaded software spanning CPUs, accelerators, and heterogeneous chips.
Strong understanding of operating systems internals: memory management, synchronization primitives, IPC, and drivers.
Hands-on experience with the Linux kernel (drivers, subsystems, or kernel-space development).
Experience delivering safety-critical software — ISO 26262, DO-178C, IEC 61508, or equivalent certified-software development processes.
Proven track record of driving solutions from concept to production in cross-functional, distributed teams.
Experience with automotive cybersecurity (ISO 21434) or ASPICE processes.
Familiarity with QNX, Integrity, or other RTOSes .
Background in GPU programming, CUDA, Vulkan, or graphics/compute driver stacks .
Contributions to middleware, HAL layers, or system libraries at production scale.
Experience with MISRA C/C++, Coverity, fuzzing, or formal verification .
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 6, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.
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