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Senior Firmware Engineer – Ethernet Switching

NVIDIANVIDIA·Semiconductors

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Posted

15 days

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About the role

NVIDIA has been elevating computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. As an NVIDIAN, you’ll be immersed in a diverse, encouraging 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 most groundbreaking technologies.

NVIDIA’s Networking BU group is seeking to hire an expert Firmware Design Engineer for the Ethernet Switch Firmware Core team. The next generation of Switches are a crucial component of the most innovative AI and Cloud Computing Networks in the world. As a member of the Ethernet Firmware Team, you will craft and develop the firmware abstraction layer in the ETH Switch. This role will require you to participate in the design & development of firmware while working closely with hardware and architecture team to ensure timely delivery of our products to the market.

What you'll be doing:

  • Highly involved in the entire software development process from architecture to integration testing of firmware for the Spectrum ASIC product line.

  • Work with HW & ASIC team to provide insights into developing the next gen of the groundbreaking of silicon and systems.

  • Design and implement algorithms to improve system scale and performance.

  • Work with higher layer software teams to debug issues reported by customers (internal and external).

  • Design, implement and integrate new features according to the product roadmap.

  • Have a new insight on how to improve our software? Why not! Bring your ideas to life by innovating during our hackathons

  • Collaborate with other NVIDIA R&D teams around the globe.

What we need to see:

  • 8+ years of proven experience developing firmware for embedded systems.

  • 8+ years of experience with C/C++ in Real-Time Embedded system. Preferably C.

  • BS in Computer Science / Computer Engineering / Electrical Engineering or equivalent experience.

  • Proven expertise with Networking protocols (at L2, L3, L4 layers).

  • Strong technical debugging skills in Embedded Systems.

  • Creative, self-motivated and collaborative person comfortable working with local and international teams.

  • Problem solving frame of mind combined with interpersonal skills.

  • Familiarity with ASIC development processes and code executions on FPGA.

Ways to stand out from the crowd:

  • Previous experience working with Networking Products like Network Adapters/Switches

  • Patents in the fields of networking, communication protocols, ASIC design, computer architecture etc.

  • Journal publications, Conference papers, along with strong referrals

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Aplyr's read

NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.

Synthesized from recent postings & public sources

What's promising

  • NVIDIA leads the GPU market, crucial for gaming and AI applications.
  • The company invests heavily in AI and deep learning, driving technological advancements.
  • NVIDIA's strong market position offers stability and growth opportunities for employees.

What to watch

  • High competition in the semiconductor industry can impact market share.
  • Rapid technological changes require constant adaptation and learning.
  • Intense workload and high expectations may affect work-life balance.

Why NVIDIA

  • NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
  • The company's AI research is at the forefront of deep learning innovation.
  • NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.

Aplyr’s read is generated by AI from public sources. Was it useful?

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About NVIDIA

NVDA$204.65-1.33%

NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.

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