Senior Embedded Platform Middleware Architect — Automotive & Robotics

NVIDIA Corporation; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA Corporation in Santa Clara, CA, seeks a Senior Software Engineer for Embedded Platform Middleware in Automotive and Robotics. You will design and evolve middleware APIs for buffer sharing, cross-engine synchronization, streaming, and IPC; lead end-to-end features aligned with automotive safety standards.

You will optimize performance in resource-constrained environments, collaborate with CUDA, graphics, camera, and AV teams, and drive modern build improvements with automation and static

Qualifications

• 8+ years of software development experience.
• Strong proficiency in C and modern C++.
• Experience with embedded systems and multi-threaded architectures.
• Experience with Linux kernel or kernel-space development.
• Experience delivering safety-critical software ISO 26262 or equivalent processes.
• Proven track record delivering 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 meeting automotive safety and security standards.
• Optimize performance in resource-constrained embedded environments; collaborate with hardware/firmware teams.
• Drive technical direction across CUDA, graphics, camera, and AV framework engineers.
• Modernize build processes with automation, static analysis, fuzzing, and generative-AI tooling.
• Mentor and influence; represent the platform in cross-org design discussions.

Skills

C/C++

Embedded systems

OS internals

Linux kernel

Multi-threading

Education

BS or MS in CS/CE/EE

Tools

QNX

RTOS

CUDA

Job description

NVIDIA Corporation in Santa Clara, CA, seeks a Senior Software Engineer for Embedded Platform Middleware in Automotive and Robotics. You will design and evolve middleware APIs for buffer sharing, cross-engine synchronization, streaming, and IPC; lead end-to-end features aligned with automotive safety standards.

You will optimize performance in resource-constrained environments, collaborate with CUDA, graphics, camera, and AV teams, and drive modern build improvements with automation and static