Firmware Engineer - NVLink at NVIDIA

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

19 Jul, 26

Salary

0.0

Posted On

20 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Firmware Development, C, Python, Embedded Software, Real-time Programming, Debugging, Problem-solving, Hardware/Software Integration, Pre-silicon, Simulation, Emulation, Networking Protocols, Linux Internals, ASIC Development, System Debugging

Industry

Computer Hardware Manufacturing

Description

NVIDIA is looking for a talented Firmware Engineer to join the NVLink Pre-Silicon development team in Tel-Aviv / Ra'anana. This is a rare opportunity to work at the earliest stages of hardware development - writing and developing firmware in early stages when ASIC is being developed, directly shaping how NVIDIA's next-generation NVLink technology comes to life. You will work hands-on with simulation environments, collaborating closely with chip designers, architects, and fellow firmware engineers across multiple domains. Alongside core development, you will be expected to contribute ideas and drive improvements to both our pre-silicon processes and our firmware approaches - innovation is part of the job, not a side activity. We drive the data growth of the world’s biggest companies. With dedicated engineers around the globe, the work environment is dynamic, exciting, and fast-paced. Are you ready for the challenge? What you will be doing: Design & Develop firmware as part of core of NVLink Switches & GPU firmware. Drive features execution end-to-end, including integrations, co-simulations and co-emulation in pre and in pre & post-silicon. Collaborate with architecture and different software design teams throughout the software development lifecycle. Gain a deep understanding of system debugging, networking technology, and stacks, as well as the HW/FW/SW relationship. Collaborate with other NVIDIA R&D teams around the globe. Innovate! Bring NVIDIA’s FW Switching & GPU products to shine on first days at customer’s view. What we need to see: B.Sc. in Computer Engineering, Computer Science, or Electrical Engineering Proficient knowledge of C. Excellent understanding of embedded SW and real-time programming. Strong analytical, creative, debugging and problem-solving skills. Strong programming skills in Python. An excellent teammate with good communication skills. Ways to stand out from the crowd: Knowledge of network protocols. Any exposure to pre-silicon environments - even academic or internship experience with simulation, emulation, or virtual platforms Motivation to learn and constantly improve processes and tools. Demonstrated curiosity and initiative: side projects, open-source contributions, or process improvements you drove on your own Comfortable with multitasking in a dynamic environment with shifting priorities and changing requirements and background in Linux internals. 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 on the planet working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and is 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. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

Design and develop firmware for NVLink switches and GPU products throughout the software development lifecycle. Collaborate with architecture, hardware, and software teams to drive feature execution and system integration in pre- and post-silicon environments.