Network & Hardware AI Validation Engineer
Get to know us better CodiLime is a software and network engineering industry expert and the first-choice service partner for top global networking hardware providers, software providers and telecoms. We create proofs-of-concept, help our clients build new products, nurture existing ones and provide services in production environments. Our clients include both tech startups and big players in various industries and geographic locations (US, Japan, Israel, Europe). While no longer a startup - we have 250+ people on board and have been operating since 2011 we’ve kept our people-oriented culture. Our values are simple: Act to deliver.
Disrupt to grow.
Team up to win.
The project and the team We develop software for modern networking platforms and operating systems for leading equipment manufacturers, as well as various other cloud-native, containerized services and solutions. In our test engineering teams, we bridge the gap between complex physical hardware (advanced routers, NPUs) and high-velocity, AI-driven development We are looking for an engineer who combines solid networking hardware intuition with an AI-first mindset to rapidly build, test, and maintain a Python testing tool across diverse router platforms. You don't need to write low-level code from scratch—your super-power is leveraging LLMs to code fast, flash hardware, and validate your code efficiently. What else you should know: We work using client-supplied hardware and tools
The project is managed by the client, but the Codilime manager is also involved
The client is from the US, so early evening meetings may be required
Your role As a part of the project team, you will be responsible for: Research and define how to implement client requirements and ideas best
Engage directly with client architects and end-users through design calls and syncs to gather requirements, clarify edge cases, and shape the future of the testing tool
Develop and maintain a Python-based validation framework designed to test low-level SDK APIs
Use modern AI coding tools (LLMs, Copilot, Codex, etc.) as your primary workflow to rapidly generate, refactor, and expand test scripts
Do we have a match? As a QA Engineer, you must meet most of the following criteria: Python Expertise: Practical experience in Python development or scripting for test automation
Hardware & Networking Intuition: Hands-on experience working with physical hardware, router platforms, CLIs, and network interfaces
Solid Networking Fundamentals: Strong understanding of L2/L3 networking concepts, IP routing, and common protocols (e.g., VLANs, BGP, OSPF)
AI-First Mindset: Active daily use of AI tools (Cursor, Copilot, LLMs) to write, debug, and deliver code fast
Fluent English: Clear written and spoken English for direct calls with client architects and end-users. (B2 level at minimum, but preferably C1 or C2)
Beyond the criteria above, we would appreciate the nice-to-haves: C/C++ Literacy: Ability to read and analyze C/C++ source code to understand underlying hardware behavior
Multi-Platform Automation: Experience scaling test frameworks across multiple hardware models or architectures
Network Automation Frameworks: Hands-on experience with tools like pyATS, Robot Framework, Scapy, or Ansible
Network Testing & Traffic Generators: Familiarity with traffic generation tools (e.g., Spirent, Ixia, TRex) or packet analyzers like Wireshark
Experience in working with Software Houses
More reasons to join us Flexible working hours and approach to work: fully remotely, in the office or hybrid
Professional growth supported by internal training sessions and a training budget
Solid onboarding with a hands-on approach to give you an easy start
A great atmosphere among professionals who are passionate about their work
The ability to change the project you work on