Firmware PCIe Engineer

Ready to kickstart your career at the forefront of accelerated computing? At NVIDIA, our inventions power everything from scientific breakthroughs to the generative AI that is reshaping our world. We are looking for a motivated Firmware Engineer to join our team as we transition into an AI-native engineering organization.

In this role, you will focus on building our new Firmware verification by supporting the NIC PCIe Test Bench (NPTB). You will play a crucial role in ensuring our firmware integrates seamlessly into our advanced cluster-level verification environments, enabling full-stack verification and performance testing for our next-generation networking products.

What You'll Be Doing:

Firmware Integration: Support the integration of PCIe firmware into the NPTB cluster-level verification environment, ensuring end-to-end stack integrity.

Sequence Development: Assist in developing, maintaining, and overriding firmware initialization sequences to adapt them for the NPTB simulation environment.

Live Build Support: Help maintain the "Firmware Live Build" flow, ensuring verification environments can utilize the latest firmware binaries independently of formal FW release timelines.

Cross-Functional Debugging: Collaborate closely with Verification (DV), Chip Design, and Architecture engineers to debug firmware-hardware interactions at the cluster level.

AI-Native Automation & Tooling: Leverage AI tools and scripting languages to automate workflows, test executions, and result analysis, embodying our AI-native engineering culture.

Behavior Modeling: Contribute to the development of FW-centric verification components that mimic firmware behavior, including configuration, ISR handling, and gateway interactions.

What We Need to See:

B.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or a related field.

2+ years of experience or a strong academic background in embedded systems, firmware development, or hardware verification.

Familiarity with scripting languages, particularly Python, for automation and tooling.

A solid understanding of computer architecture, memory interfaces, and hardware-software interactions.

Strong problem-solving skills, curiosity, and a collaborative, team-oriented mindset.

Ways to Stand Out from the Crowd:

Familiarity with the PCIe architecture and networking protocols.

Exposure to hardware verification methodologies and languages (e.g., UVM, SystemVerilog).

Experience with continuous integration tools, simulation environments, and version control systems (e.g., Git, Gerrit).

A proactive approach to learning new technologies and tools, including a strong interest in AI-native development workflows (e.g., Cursor, LLMs).

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We value diversity in our current and future employees and do not discriminate in our hiring or promotion practices. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status, or any other characteristic protected by law.