Network & Hardware AI Validation Engineer

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 weve kept our people-oriented culture. Our values are simple:

• Act to deliver.

• Disrupt to grow.

• Team up to win.

We develop software for modern networking platforms and operating systems for leading equipment manufacturers as well as various other cloud-native containerized services and 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 dont need to write low-level code from scratchyour 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

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

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

• 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