What if your Python automation caught a critical ASIC bug before the physical silicon was even manufactured? At NVIDIA, our simulation platforms make that happen every release cycle! We are the System Ethernet QA Team at NVIDIA’s R&D center, responsible for the testing and qualification of virtual networking silicon (SimX) and software—from L2 forwarding and L3 routing to overlays, QoS, and security. With SimX, developers and QA engineers get hardware-free, early access to the ASIC for better debugging.
We are looking for a Senior QA Software Engineer who combines network protocol expertise with strong Python automation skills. Does debugging a BGP EVPN route leak excite you as much as refactoring a test framework? Then we should talk!
What we offer:
36 days of paid vacation a year, weekends on all public holidays, paid sick leaves, company paid parental leave for mothers and fathers.
The most competitive salary on the market.
NVIDIA shares (RSU and ESPP).
Premium medical insurance for employees and their children/spouses.
Life insurance.
Professional courses at Ivy League Universities.
Trainings and lectures.
English or other languages classes.
Personalized career development plan.
Wellbeing programs.
Annual performance, position, and salary reviews.
Remote/hybrid or office work in the comfortable office in the city center (Leonardo Business Centre, near metro Teatralna and Zoloti Vorota).
Parking.
And these are not all the benefits that you will receive by joining NVIDIA!
What you’ll be doing:
We don’t just complete checklists; we collaborate closely with R&D to lead the quality of new features from design to deployment. In this role, we:
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
What We Need to See:
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
Ways to stand out from the crowd:
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).
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.
