Senior Firmware Engineer - InfiniBand Switching

Posted 3 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Senior Firmware Engineer at NVIDIA, you will collaborate with architecture and software design teams to design and implement features in NVIDIA's InfiniBand Switch firmware. You will work in both pre and post-silicon development environments, focusing on system debugging, networking technology, and software stacks, while innovating to enhance NVIDIA’s firmware products.
Summary Generated by Built In

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by phenomenal technology—and outstanding people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is encouraged to do their best work. Come join the team and see how you can make a lasting impact on the world.

What you will be doing:

  • Collaborate with architecture and different software design teams as part of the software development lifecycle.

  • Design and implement new features in the core of NVIDIA's InfiniBand Switch firmware.

  • Work in Pre & Post-silicon development environments of next-generation NVIDIA networking products.

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

  • Innovate! Bring NVIDIA’s FW switching products to shine in customer’s view.

  • Collaborate with other Nvidia R&D teams around the globe.

What we need to see:

  • B.S. in Computer Science/ Computer Engineering / Electrical Engineering or equivalent experience.

  • 10+ years of substantial professional experience.

  • Proficient knowledge of C.

  • Excellent understanding of embedded SW and real-time programming.

  • Strong analytical, creative, debugging, and problem-solving skills.

  • Meticulous and comfortable with multitasking in a dynamic environment with shifting priorities and changing requirements.

  • Strong programming skills in Python.

  • An excellent teammate with good interpersonal and communication skills.

Ways to stand out from the crowd:

  • Assembly programming and hands-on debugging experience

  • Background in Linux internals & scripting abilities (Python, Bash).

  • Motivation to learn and constantly improve processes and tools.

  • Previous experience working with Customers

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. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best chip design team in the industry!

#LI-Hybrid

The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

Top Skills

C
Python
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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