Senior Software Engineer, Embedded Platform Middleware — Automotive and Robotics

at Nvidia

USD 184,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
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1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI API @ 4 CUDA @ 6 Communication @ 4 GPU @ 6 GenAI Generative AI Linux @ 4 Robotics Security Software Development @ 4 System Architecture @ 7

Details

NVIDIA's Embedded Platform Middleware team (NvSci Team) builds foundational system software for safe, high-performance data sharing and synchronization across GPUs, CPUs, and specialized accelerators on NVIDIA DRIVE autonomous vehicle and Jetson robotics and edge AI platforms. The middleware enables safety-certified devices to move data deterministically, securely, and at scale across low-level systems software, safety-critical engineering, and accelerator hardware.

Responsibilities

Design and evolve middleware APIs for buffer sharing, cross-engine synchronization, streaming, and inter-process communication, with a focus on developer experience, simplicity, and long-term maintainability.
Lead end-to-end feature development that meets automotive safety and security standards, including ISO 26262, ASPICE, and ISO 21434, while aligning with product roadmaps and release cycles.
Optimize performance in resource-constrained embedded environments.
Partner with hardware and firmware engineers to co-design solutions that unlock the potential of NVIDIA accelerators.
Drive technical direction across teams, collaborating with CUDA, graphics, camera, and audio/video framework engineers to simplify system architecture and improve the platform.
Modernize software development through automation, static analysis, fuzzing, and generative AI tooling to improve reliability, velocity, and scalability.
Mentor team members, strengthen the team's technical depth, and represent the platform in cross-organizational design discussions.

Requirements

Bachelor's or master's degree in computer science, computer engineering, electrical engineering, or a related field, or equivalent experience.
8 or more years of relevant software development experience.
Strong proficiency in C and modern C++.
Deep experience with embedded systems and system architecture, including multithreaded software spanning CPUs, accelerators, and heterogeneous chips.
Strong understanding of operating system internals, including memory management, synchronization primitives, inter-process communication, and drivers.
Hands-on experience with the Linux kernel, including drivers, subsystems, or kernel-space development.
Experience delivering safety-critical software using ISO 26262, DO-178C, IEC 61508, or equivalent certified-software development processes.
Proven ability to drive solutions from concept to production in cross-functional, distributed teams.

Preferred Qualifications

Experience with automotive cybersecurity, including ISO 21434, or ASPICE processes.
Familiarity with QNX, Integrity, or other real-time operating systems.
Background in GPU programming, CUDA, Vulkan, or graphics and compute driver stacks.
Contributions to middleware, hardware abstraction layers, or system libraries at production scale.
Experience with MISRA C/C++, Coverity, fuzzing, or formal verification.

Compensation and Benefits

Level 4 base salary: USD 184,000–287,500 per year.
Level 5 base salary: USD 224,000–356,500 per year.
Eligible for equity and benefits.
Applications will be accepted at least until August 6, 2026.
NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.