NVIDIA is looking for a passionate Firmware Student to join our NIC Firmware Core team. You will be joining a team whose primary mission is to work on innovative networking adapters technologies and take the success of the current and next NVIDIA networking devices to the next level using a wide range of platforms - C layer between HW and FW, C++ OOP verification environment and automation challenges.
What you’ll be doing:
- Take part in the design, development, testing, debugging, and optimization of many angles of the network adapters' core features
- Collaborate with chip design, software, and architecture teams to define and craft legacy and new firmware flows
- Improve our team methodologies
What we need to see:
- Student for a B.Sc. in Computer Science/ Computer Engineering / Electrical Engineering (or equivalent experience)
- OOP/computer structure/operating system
- Problem solver, independent and curious
- Strong multi-disciplinary capabilities and ability to work with a wide interface of people – chip design, verification, FW, SW, and architecture
- Ability to lead feature development and take full ownership of tasks from A to Z
- Phenomenal teammate, strong interpersonal skills, and self-learning ability
Ways to stand out from the crowd:
- Knowledge in C++ and Embedded C programming
- Experience partnering with software and arch teams
- Knowledge in networking, Linux, and scripting languages
- Experience with in-depth problems solving
It’s not just technology, though! It is our people, some of the brightest in the world. At the center of NVIDIA's culture are our core values like innovation, perfection, determination, and teamwork, which guide us to be the best we can be. This makes NVIDIA one of the most innovative and dynamic places to work. We do our life's work here, and if you are creative and driven, we want to hear from you.
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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.”
