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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Senior QA Automation Engineer, ASIC Simulation

Requirements:

  • Combined network engineering depth with thorough software habits
  • 5+ years of hands-on QA or networking experience, backed by CCNP-equivalent protocol knowledge: L2 (VLAN, STP), L3 (BGP, OSPF), EVPN, VXLAN, and advanced features like PFC, ECN, RoCE, and QoS
  • Production-quality Python engineering—specifically, strong OOP design and hands-on experience with Pytest
  • Deep Linux proficiency (at an LPIC-1 or LPIC-2 level) to navigate system internals, analyze logs, and debug effectively
  • Clear verbal and written communication, with professional proficiency in written and spoken English
  • B.Sc. or or B.A. or equivalent experience in Computer Science, Electrical Engineering, or a similar background

Nice to Haves:

  • Experience with Docker and traffic generation tools (Ixia, TRex, Scapy)
  • Hands-on experience integrating tests into CI/CD pipelines (Jenkins, GitLab CI)
  • Working knowledge of virtualization platforms (KVM, VMware)

What you'll be doing:

  • Review architectural designs and requirements for new features introduced to the product
  • Drive the design, development, and execution of tests across functional, performance, and security scopes as part of SW GA and update releases
  • Develop Python automation suites built on clean OOP principles
  • Chase down defects and validate fixes until we fully resolve the root cause
  • Leverage the SimX platform to validate code and debug the ASIC long before hardware arrives

Perks and Benefits:

  • NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer
AI Summary ✨
NVIDIA logo

NVIDIA

Ukraine, Greece

Experience: Senior
Posted: August 31, 2026
Last seen: an hour ago
Docker
Git
Jenkins
Python
backend

Why we track NVIDIA

NVIDIA has become one of the most important companies in tech thanks to AI and GPU computing. They have EU roles across several countries. If you're interested in hardware, CUDA, or ML infrastructure, they're hard to beat.

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