CMOS Test Data Processing & Automation Software Engineer Quantum engineering

CMOS Test Data Processing & Automation Software Engineer

Quobly aims to have a strong impact on society by providing cost-competitive universal quantum processors to solve currently intractable problems.

Founded in 2022, Quobly is a fast-growing start‑up located in Grenoble’s vibrant and multidisciplinary ecosystem. The company relies on the CNRS Neel Institute and CEA‑Leti and benefits from the dynamic of strong links between research and industry.

We are looking for a CMOS Test Data Processing & Automation Software Engineer

Technical Challenges

As a Test Data Processing & Automation Software Engineer, you will contribute to these frameworks and build Python tools that help the CMOS Characterization team automate their electrical test workflows and analyse data more effectively.

• Develop data processing tools : Design and maintain Python-based pipelines for automated ingestion, processing, and statistical analysis of wafer‑level CMOS electrical test data (IV, CV, parametric tests, etc.).
• Build test automation tools : Develop and extend instrument drivers and automation tools that streamline electrical characterization workflows for the CMOS Characterization team.
• Create visualization : Create dashboards and automated reports to give other teams clear visibility into device parameters, yield trends, and process variability.
• Collaborate and iterate : Work closely with the CMOS Characterization team to understand their needs, translate them into software specifications, and validate solutions in real conditions.
• Write quality code : Produce well‑structured, documented, and tested code following team best practices (Git, CI/CD, unit testing, code reviews).
• Collaborate with talented people, in a culture of transparency and autonomy
• Work hand in hand with members of our technical teams
• Contribute to the success of the industrial collaboration with STMicroelectronics
• Have strong, well‑developed Python skills.
• Have experience collaborating using Git, GitLab, CI/CD.
• Have solid knowledge of data processing.
• Have solid knowledge of electrical testbench tool automation.
• Education : Master’s degree or PhD in Computer Science, Electrical Engineering, Physics, or a related field.
• Experience : Master + ~6 years, or PhD + ~3 years of professional experience in a software, scientific, or instrumentation environment. A first experience developing tools or automation scripts in Python is expected.
• Languages : Fluent technical English; French is a plus.
• A unique workplace, combining industrial dynamism, technological innovation and a unique natural and cultural living environment.
• The opportunity to continue to train, to develop skills by working with the best researchers in the field.
• A collaborative work environment, a culture that has trust as its pillar and where your work will be recognized, and much more!
• Contribute to the influence of Quobly through the sharing of our progress in international conferences.
• The possibility of having a pro‑life balance with a standard day package of 213 days worked/year.
• The possibility of teleworking up to 4 days a week depending on the position.
• Offices near Grenoble train station or Paris downtown.
• Assistance with soft travel or public transport.

For us, quality work is based on professionalism, trust, surpassing oneself and collaboration in an environment where fun and celebration is as essential as it is natural. We are an equal opportunity employer and welcome applications from all qualified individuals.

Excited about this opportunity? Apply now and join Quobly's innovative team!