NVIDIA is seeking a hands-on engineer to join our Networking Insights team and generate the data-driven hardware insights that shape the backbone of the AI revolution. This position is for engineers who are motivated to explore beyond typical protocols, delving into the micro-architecture of our brand new switches to address intricate hardware challenges. You will investigate and resolve elusive hardware and software challenges at their root cause, ensuring our technology operates with maximum performance and reliability in the world's most demanding data centers.
What you'll be doing:
Investigate complex performance issues seen in real-world AI data centers.
Design and build targeted test cases from scratch to replicate and isolate hardware and software bottlenecks.
Write and debug diagnostic scripts (Python) to drive traffic generators (e.g., IXIA) and manipulate test environments.
Analyse test data to uncover the root cause of hardware-level behaviours, collaborating with architects to understand micro-architectural impacts.
Develop repeatable tests that will become part of our broader automation framework.
What we need to see:
B.S. in Engineering/Computer Science or equivalent experience with a strong foundation in hardware-software interaction.
5+ years of hands-on experience validating, performance-tuning, or troubleshooting networking hardware and ASICs.
A deep understanding of how network protocols are implemented at the hardware level (Switches, NICs).
Demonstrated proficiency in a scripting language (Python strongly preferred) for test development and diagnostics.
Experience with network traffic generators (e.g., IXIA, Spirent).
A problem-solving mindset, driven by curiosity to understand how things work at a fundamental level.
Ways to stand out from the crowd:
Expertise in stress-testing network switch ASICs and systems.
Advanced hardware diagnostics beyond standard L2/L3 protocols.
Familiarity with network architecture and operational challenges in large-scale data center environments.
CCNP certification or equivalent.
This role offers a chance to work with some of the most forward-thinking and hardworking people in the world. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you! 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/
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, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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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.”
