R&D Engineer 3, Software

- Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science (or equivalent) with strong software engineering skills. - Typically 4-5 years of relevant software development experience. - Proficiency in one or more modern software languages such as C++ or C#. - Solid grounding in software design patterns, testing, and debugging, with the ability to work independently on defined assignments. - Experience with Git and CI/CD pipeline workflows. - Demonstrated experience delivering software components into production or product environments. - Familiarity with — and a strong desire to learn — how AI-powered software is built (e.g., retrieval-augmented generation and agentic techniques). - Strong written and verbal communication skills. - Excellent team player, responsive and accountable. - Self-starter. Willing and able to quickly learn new applications and technologies. - Willing and able to collaborate with international teams (US, Europe).

Preferred: - Working knowledge of, or hands-on exposure to, Keysight instruments like oscilloscopes, BERTs or AWGs — or a strong foundation in a closely related measurement or signal-processing domain with the ability to ramp quickly. - Experience developing instrument, embedded, or real-time software, including hardware/software integration or signal-processing pipelines. - Hands-on exposure to AI/ML libraries or agentic frameworks such as LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar orchestration toolkits. - Experience building test automation frameworks or evaluation tooling for non-deterministic systems. - Exposure to deploying AI/ML models on edge or embedded platforms. - Familiarity with responsible AI practices and explainability tooling (e.g., SHAP, LIME). - Atlassian tool experience — Bitbucket, Confluence, Jira. - Scrum agile software development process background. - Test-driven development experience.

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