עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
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.
- 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.
- 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.
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.
JR1999033
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
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