Senior Software Engineer, Embedded Platform Middleware — Automotive and Robotics

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an experienced software engineer for its Embedded Platform Middleware team (NvSci) in Santa Clara. You will design and evolve middleware APIs for buffer sharing, cross-engine synchronization, streaming, and IPC, while leading end-to-end features that meet automotive safety standards.

You’ll optimize performance in resource-constrained environments and collaborate with CUDA, graphics, camera, and AV teams.

Qualifications

• BS or MS in CS, CE, EE or equivalent experience.
• 8+ years of relevant software development experience.
• Strong proficiency in C and modern C++.
• Embedded systems and system architecture experience across CPUs, accelerators, and heterogeneous chips.
• Solid understanding of OS internals: memory management, synchronization, IPC, and drivers.
• Hands-on Linux kernel experience (drivers/subsystems/kernel-space).
• Experience delivering safety-critical software (ISO 26262, DO-178C, IEC 61508).
• Proven track record of delivering solutions from concept to production in cross-functional teams.

Responsibilities

• Design and evolve middleware APIs for buffer sharing, cross-engine synchronization, streaming, and IPC.
• Lead end-to-end feature development aligned with safety standards and product roadmaps.
• Optimize performance in resource-constrained embedded environments with HW/firmware partners.
• Drive technical direction across CUDA, graphics, camera, and AV framework engineers.
• Modernize build processes with automation, static analysis, fuzzing, and AI tooling.
• Mentor and grow the team’s technical depth and representation in design discussions.

Skills

C & C++

Embedded systems

Linux kernel

Multithreading

Drivers

Education

BS or MS in CS/CE/EE

Tools

QNX

Integrity RTOS

Job description

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.

What You’ll Be Doing:

• Design and evolve middleware APIs for buffer sharing, cross-engine synchronization, streaming, and inter-process communication — with a relentless focus on developer experience, simplicity, and long‑term maintainability.
• Lead end‑to‑end feature development that meets stringent automotive safety and security standards (ISO 26262, ASPICE, ISO 21434), aligned with product roadmaps and release cycles.
• Optimize performance in resource‑constrained embedded environments; partner closely with hardware and firmware engineers to co‑design solutions that unlock the full potential of NVIDIA accelerators.
• Drive technical direction across teams — collaborate with CUDA, graphics, camera, and AV framework engineers to simplify system architecture and elevate the platform.
• Modernize how we build software — introduce automation, static analysis, fuzzing, and generative‑AI tooling to improve on reliability, velocity, and scalability.
• Mentor and influence — help grow the technical depth of the team and represent the platform in cross‑org design discussions.

What We Need to See:

• 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.

Ways to Stand Out from the crowd:

• 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.

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.