NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing 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 inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are looking for an excellent and highly motivated Integration Firmware Engineer to join our FW Pre-Silicon team. Take part in the team whose primary mission is to work on groundbreaking technology network adapters (NIC) and prepare NIC Firmware for tape-out and production! Our goal is to have NIC Firmware fully verified before real chip is produced, so you will engage intensively with frontier HW emulation systems. As a Firmware engineer, you’ll work in a wide range of domains including low-level C communication with hardware and software, Python to automate routine tasks, C++ regression environment. The position is definitely for you if you like to be in the intersection of all development activities related to preparing new chip to production.
What You Will Be Doing:
- Performing integration of Chip Design RTL drops to NIC Firmware
- Working on bringing up next generation NIC devices on Emulation systems
- Close work with Chip Design, Firmware and Software teams during integration activities
- Extend NIC Firmware code support for new devices
- Improve team’s work efficiency by adapting methodologies, automating routine activities
What We Need To See:
- B.Sc. in Electrical Engineering / Computer Science / Computer Engineering
- 5+ years of experience
- Computer structure & operating systems
- Experience in Python & Bash (tcsh is an advantage)
- Previous experience in Pre-Silicon activities is an advantage
- Experience in Real-Time or Embedded software development is an advantage
- Problem solver, independent and curious
- Strong interpersonal skills and self-learning ability
- Strong multi-disciplinary capabilities and ability to work with a wide interface of people – chip design, verification, FW, SW
Ways To Stand Out From The Crowd:
- Knowledge of Hardware verification concepts and tools
- Experience partnering with software and hardware teams to define and implement firmware
- Knowledge in networking, Linux and scripting languages
- Experience with in-depth problems solving
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Skills Required
- B.Sc. in Electrical Engineering / Computer Science / Computer Engineering
- 5+ years of experience
- Computer structure & operating systems
- Experience in Python & Bash
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.
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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.
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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.
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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
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.”
