Design large scale testing topologies with GPU/Traffic Generators and execute test cases for network operating system functionality.
Validate smart NIC performance and integration with SONiC datapath.
Perform functional, performance, and stress testing of AI networking scenarios.
Develop automated test scripts for regression testing and continuous validation.
Execute interoperability testing between different hardware vendors and software versions.
Validate RDMA, high-speed Ethernet performance for AI workloads.
Test failover scenarios and network resilience under various failure conditions.
Document test results, file detailed bug reports, and track issue resolution.
Collaborate with development teams to reproduce and isolate defects.
Participate in customer proof-of-concept testing and field issue reproduction.

Bachelor's degree in Computer Science, Computer Engineering, Data Science or a related field.
5+ years of Networking experience, preferably in datacenter environments / as Network QA Engineer.
Knowledge of networking protocols: BGP, VLAN, EVPN/VXLAN, QOS.
Experience testing network hardware (switches, NICs, cables) and software integration.
Experience with capturing traffic and deep knowledge of Ethernet/IP/TCP/UDP headers.
Experience with networking concepts that influence traffic characteristics, such as Tunneling, NAT, QinQ, MTU, PMTUD.
Experience with performance testing tools and traffic generators such as Ixia/Spirent.
Linux Proficiency: In-depth knowledge of Linux, with testing experience.
Containerization: Experience with Docker.
Expertise in testing methodologies and hands-on experience with testing tools.
Experience in testing AI Network solutions based on Infiniband or Ethernet (Nice to Have).
Knowledge in RoCE and AI DC Solution Designs (Nice to Have).
Knowledge in SONiC OS architecture and Linux networking stack (Nice to Have).
Experience with smart NIC programming and testing (Nice to Have).
Experience with network simulation tools (containerlab) (Nice to Have).
Experience with large-scale datacenter testing environments (Nice to Have).
Proficiency in Python scripting for test automation (Nice to Have).

Competitive financial conditions.
Opportunity to work on internationally recognized projects.
Flexible schedule and a hybrid work model, prioritizing remote work as much as possible to support work-life balance.
An exciting career path within a friendly, dynamic, and growing organization.
Professional development opportunities in a multicultural environment.
Private medical coverage with Medlife or Regina Maria.
Meal vouchers.
Gift vouchers for special occasions such as birthdays, weddings, or childbirth.
Wellbeing programs, including sick days, 7Card subscriptions, and relaxation facilities in the office.
Team-building events and other social experiences.
Budget allocated for certifications relevant to your project.
Workshops, internal training sessions, and knowledge-sharing opportunities.
Convenient city-center office location.
Shared parking spaces.

QA Network Engineer – AI Sonic DC Solution

Key skills