Embedded Platform Middleware Engineer - Automotive/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 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.