Lab Applications Developer

Qualitest · petahtikva

QualityAI is the leading AI-first quality engineering company. We deliver end-to-end quality management services across the business and technology life cycle for enterprise customers who need certainty at Go-Live. We build and test services and products using AI, working across data, models, platforms, devices, and infrastructure to ensure those systems perform as expected at scale We are looking for a hands-on Lab Applications Developer to join our Hardware Engineering team. In this role, you will design and build custom software applications, web-based tools, database solutions, and test automation frameworks to control lab equipment and validate complex hardware systems. You will also integrate modern AI-driven tools to enhance data analysis and automate smart lab workflows. This is a full-time position in Tel Aviv Responsibilities: Design, develop, and maintain automated test software, web-based interfaces, and scripts for hardware validation. Experience with frontend web development (JavaScript/TypeScript, React/Vue) for building lab dashboards. Integrate with lab Class Test equipment, e.g., Testers, handlers, and thermal solutions for automated flows. Develop custom scripts for data migration, ETL processes, and seamless transfer between different databases. Implement AI/ML features and LLM-based solutions to optimize test coverage, analyze lab data, and predict failure patterns. Build robust Web scripts/frontends and pipelines to visualize validation test results in real-time. Collaborate with Hardware and System Engineers to translate test requirements into scalable automated scripts. Requirements: B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or a related field. Programming & Web Skills: Strong proficiency in Python for automation, scripting, and web-based development (e.g., REST APIs, web scripting, Flask/FastAPI/Django). Database & Migration: Solid experience with relational/non-relational databases (SQL, PostgreSQL, MongoDB) and writing data migration/ETL scripts to transfer data across systems. AI Integration: Hands-on experience or strong working knowledge of integrating AI/ML models, LLM APIs, or data analysis tools into software workflows. Experience with hardware interfaces and protocols ( I2C, USB, Ethernet) - Advantage Experience with CI/CD tools (Jenkins, GitLab CI) applied to hardware test setups- Advantage Basic understanding of board design, schematics reading, or PCB debugging - Advantage BSc Degree Guide 2025 — Online BSc Courses & Programs - Advantage Why should you join us? Grow your career in a stable, innovative environment Collaborate closely with clients to deliver smart, high-quality solutions Make an impact in a dynamic, learning-driven environment Be part of a human, value-driven organization that cares

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