Senior Firmware Engineer, NIC Firmware

Reposted 19 Days Ago
Be an Early Applicant
4 Locations
In-Office or Remote
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The engineer will develop NIC firmware features, create verification tests, and deepen their understanding of systems and networking. They will collaborate with various software teams and learn about software project operation and hardware and firmware development.
Summary Generated by Built In

NVIDIA’s invention of the GPU fueled the PC gaming market. The company’s groundbreaking work in accelerated computing—a supercharged form of computing at the intersection of computer graphics, high performance computing and AI—is reshaping industries, such as transportation, healthcare and manufacturing, and fueling the growth of others. In 2020, NVIDIA acquired Mellanox, a leading supplier of end-to-end Ethernet and InfiniBand intelligent interconnect solutions and services for servers, storage, and hyper-converged infrastructure. Mellanox increase data center efficiency by providing the highest throughput and lowest latency, delivering data faster to applications and unlocking system performance.

We are looking for an excellent Software Engineer to join the NIC Firmware team. The Firmware team develops innovative networking features for cloud, HPC and storage. We drive the data growth of the world’s biggest companies. With many dedicated engineers around the globe, the work environment is multifaceted, significant and fast paced.

What you will be doing:

  • Work closely with the architecture and different software design teams.

  • Implement new features in the core of Mellanox NIC firmware.

  • Develop verification tests for advanced features in a highly complex and sophisticated Firmware testing environment.

  • Gain a deep understanding of system debug, networking technology and stacks, as well as the HW/FW/SW relationship.

  • You will learn how a big software project is operated, maintained, qualified and released, and how Hardware and Firmware are developed.

What we need to see:

  • Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience in the field.

  • 5+ years of professional software development experience.

  • Strong proficiency in C and C++.

  • Solid understanding of networking protocols.

  • Experience with PCIe and virtualization technologies.

  • Excellent grasp of data structures and algorithms fundamentals.

  • Scripting experience with Python and/or Bash.

  • Strong analytical, debugging, and problem‑solving skills.

  • Self‑motivated, independent, and a great teammate with excellent interpersonal skills.

Ways to stand out from the crowd:

  • Deep familiarity with RDMA stacks (RoCE, InfiniBand) and low‑latency networking.

  • Experience in high‑performance or large‑scale compute environments.

  • Proven experience with distributed systems and scalability challenges.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 2, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • Bachelor's degree in Computer Science, Computer Engineering, or related field
  • 5+ years of professional software development experience
  • Strong proficiency in C and C++
  • Solid understanding of networking protocols
  • Experience with PCIe and virtualization technologies
  • Excellent grasp of data structures and algorithms fundamentals
  • Scripting experience with Python and/or Bash
  • Strong analytical, debugging, and problem-solving skills

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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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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