Software Engineer - DPU Platform

at Nvidia

📍 Westford, United States

USD 116,000-224,200 per year

MIDDLE

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

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 @ 3 Agile @ 6 Communication @ 3 Git @ 2 GitHub @ 2 Jenkins @ 2 Linux @ 6 Python @ 5 Software Development @ 6

Details

NVIDIA is seeking a Software Engineer to join an international development team building technology for sophisticated data centers worldwide. The role focuses on embedded platforms, operating systems, software distribution, and system software for DPU and sophisticated SoC platforms.

Responsibilities

Develop system software components, including processor firmware, boot loaders, kernel drivers and modules, user-space applications, and libraries.
Collaborate with hardware and product design teams to build software for sophisticated SoC platform designs.
Support global teams with customer and internal DPU projects.
Address complex system-level optimization and resource utilization challenges.
Participate in all stages of the product development lifecycle, with a focus on clear requirements, software quality, and performance.
Work within a worldwide, matrixed software development team.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or equivalent experience.
At least 2 years of experience developing software for embedded systems.
Proficiency in C and Python.
Strong interest in understanding the system software stack, including platform firmware, device drivers, the Linux kernel, software/hardware interactions, and user-space application performance.
Knowledge of high-performance processor architecture, including CPU and cache coherency concepts and hardware accelerators.
Strong engineering skills in technical investigation, building, testing, and agile software development processes.
Excellent written and oral communication skills.
Familiarity with build and development tools including GCC, Git, GitHub, Make, BitBake, shell scripts, Gerrit, and Jenkins.

Preferred Qualifications

Experience with ARMv8 microarchitecture, ATF, and/or UEFI software.
Familiarity with multiple Linux distributions and the ability to compare and contrast them.
Knowledge of secure boot flows and/or trusted computing environments.

The role offers competitive salaries, equity, and a comprehensive benefits package. The posting states that NVIDIA is seeking engineers to build large-scale, high-impact data platforms.

Applications will be accepted at least until July 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.