NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing & Networking, Artificial Intelligence, and Visualization. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to self-driving cars!
We are now looking for an outstanding, creative & hardworking Firmware PHY/Algorithms Engineer to join our team. You will be responsible for firmware development, characterization & validation of state-of-the-art network devices. Work as part of a team with circuit design, algorithm, architects & HW design to ensure outstanding product development from concept to customer satisfaction. The qualified candidate should be comfortable working on different code environments and should demonstrate a passion for the creation, execution, and improvement of FW features to control mixed-signal circuits.
What you’ll be doing:
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
5+ years of relevant experience
Proficient programming in C
Debugging experience and ability to investigate and triage difficult problems in embedded FW
Experience with developing the physical layer of communication protocols
Good communication skills and the ability to work with people across several countries
Excellent English verbal and written communication skills
Good understanding of analog, mixed-signal circuit operation
Ways to stand out from the crowd:
Proficient in Python and MatLab
Good understanding of SerDes operation
Knowledgeable of Hardware/Software Development Process
Strong collaborative and interpersonal skills, with an ability to successfully guide and influence
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 proud to be an equal opportunity employer. As we highly value diversity in our current and future employees.
Skills Required
- B.Sc. or M.Sc. in Electrical or Computer Engineering
- 5+ years of relevant experience
- Proficient programming in C
- Debugging experience in embedded FW
- Experience with the physical layer of communication protocols
- Good understanding of analog, mixed-signal circuit operation
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
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.”
