NVIDIA is looking for an excellent Firmware Design Engineer for NVIDIA FW PHY Group. The person will closely work with NVIDIA FW development, architecture, chip design teams and gain deep understanding of NVIDIA's Networking products and technologies.
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!
What you’ll be doing:
Enabling new SerDes and Optical Technologies
Implement FW functionality in signal processing units of NVIDIA products
Work closely with the architecture, HW, and SW design teams
Define implement and maintain FW algorithm to control the Silicon
Develop and test FW on emulation & simulation environments during the Pre-silicon phase
Debug and screen HW/FW/SW issues
Take an active part in silicon bring-up and SW development phases
Lead data-driven discussions about the product functionality and areas for improvement
What we need to see:
B.Sc. or M.Sc. in Electrical or Computer Engineering
2+ years of relevant experience
Proficient programming in C
Debugging experience and ability to investigate and triage difficult problems in embedded FW
Good communication skills and the ability to work with people across several countries
Excellent English verbal and written communication skills
Ways to stand out from the crowd:
Proficient in Python and MatLab
Good understanding of SerDes operation
Experience with developing the physical layer of communication protocols
Knowledgeable of Hardware/Software Development Process
Strong collaborative and interpersonal skills, with an ability to successfully guide and influence
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
#LI-Hybrid
Skills Required
- B.Sc. or M.Sc. in Electrical or Computer Engineering
- 2+ years of relevant experience
- Proficient programming in C
- Debugging experience and ability to investigate and triage difficult problems in embedded firmware
- Good communication skills and ability to work with people across several countries
- Excellent English verbal and written communication skills
- Proficient in Python
- Proficient in MATLAB
- Good understanding of SerDes operation
- Experience with developing the physical layer of communication protocols
- Knowledgeable of Hardware/Software Development Process
- Strong collaborative and interpersonal 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.
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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.”
