Senior PCIe Firmware Engineer

Reposted 12 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead the design and optimization of PCIe firmware, solve complex technical challenges, and integrate AI tools to enhance development efficiency.
Summary Generated by Built In

Ready to build the future of AI, with AI? At NVIDIA, our inventions are the cornerstone of accelerated computing, powering everything from scientific breakthroughs to the generative AI that is reshaping our world! We are looking for a creative and experienced Senior Firmware Engineer to join our PCIe Firmware team—someone passionate about using artificial intelligence to engineer the foundational hardware of the AI revolution.

As an integral part of our team, you'll architect and implement the core of NVIDIA's next-generation devices. This senior role places you at the center of innovation, where you will have a direct impact on our business and technology by solving sophisticated technical challenges. It’s a unique opportunity to shape our technology and empower customers to build the supercomputers and AI fabrics of tomorrow.

What You'll Be Doing:
  • Lead the architectural design, development, and optimization of cutting-edge PCIe firmware, using AI-driven modeling and insights to deliver exceptional performance.

  • Serve as a trusted technical expert by investigating, debugging, and resolving challenging PCIe firmware issues for our most important customers.

  • Collaborate closely with our Chip Design, Verification, Software, and Architecture engineers to find root causes and develop robust, long-term solutions.

  • Champion the integration of AI-assisted diagnostics and generative AI tools across the entire development lifecycle to boost team productivity and innovation.

  • Translate customer needs and field data into actionable feedback that directly shapes the future of our products.

What We Need to See:
  • A degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent practical experience.

  • 8+ years of significant professional experience in embedded firmware development, with a deep understanding of PCIe.

  • A strong foundation in computer architecture, operating systems, and object-oriented programming.

  • Proficiency in scripting languages like Python to automate tasks and workflows.

  • An innovative approach with a genuine desire to apply AI and machine learning to accelerate firmware development.

Ways to Stand Out from the Crowd:
  • Track record of applying AI-powered tools like Cursor to accelerate the development lifecycle.

  • Previous experience in a customer-facing or application engineering role.

  • Direct, hands-on experience with PCIe switch architecture and its firmware in high-performance applications.

  • Deep knowledge of hardware verification concepts and tools (e.g., C++, Python, Jenkins).

  • Extensive knowledge of networking protocols and the Linux operating system.

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.

We have some of the most forward-thinking and dedicated individuals in the world working for us. If you're creative, autonomous, and ready to make a difference, we want to hear from you.

Top Skills

AI
C++
Hardware Verification Tools
Linux
Networking Protocols
Object-Oriented Programming
Pcie
Python
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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