Quobly, a deep tech company based in the Grenoble area, is developing a new generation of silicon-based quantum microprocessors. To support our ambition, we are looking for a Senior CMOS Device for Quantum Engineer (Device Physics & Data Analytics)

We are seeking a highly analytical CMOS Device for Quantum Device Engineer to bridge the gap between fundamental semiconductor physics and large-scale manufacturing data. In this role, you won’t just be looking at pass/fail metrics; you will be the "detective" of the silicon, using advanced statistical methods to explain the physical phenomena occurring within our CMOS processes tailored for Qubit constrain.

Your tasks:

• You will make Physical Characterization & Modeling: Analyze short-channel effects, gate leakage, mobility degradation, at room and cryo temperature. You will translate complex device physics into actionable insights for the process lots.
• You will define Statistical Data Mining: Develop and implement automated data analysis pipelines to evaluate transistor performance across batches of wafers.
• You will make Yield & Variation Analysis: Lead the investigation into "Root Cause Physics" for parametric shifts. You will use Python or JMP to correlate electrical performance with upstream process variations.
• You will make TCAD Correlation: Work closely with the TCAD team to calibrate simulations against silicon data, ensuring that our physical models accurately reflect real-world hardware distributions.

Collaboration

• Collaborate with talented people, in a culture of transparency and autonomy.
• Work hand in hand with members of our technical teams.

Your profile:

1. Deep Physics Expertise

• You have PhD or MS in Electrical Engineering, Applied Physics, or Material Science.
• You have expert understanding of MOSFET operation, including non-ideal effects in FinFET, GAA (Gate-All-Around) or FDSOI architectures.
• You have Knowledge of tunneling mechanisms, quantization effects in thin films, and strain engineering.

2. Data Science & Analysis Proficiency

• You have High proficiency in Python (Pandas, NumPy, Scikit-learn) or R for data manipulation.
• You have Expert-level experience with JMP, Spotfire, or SQL.
• You have Strong grasp of Design of Experiments (DOE), ANOVA, and multivariate regression.

The ideal candidate possesses a deep, intuitive grasp of carrier transport and quantum effects, paired with the data science proficiency to extract signals from high-volume wafer acceptance testing (WAT) and reliability data.

Working at Quobly also means:

• Working in Grenoble, home to some of the fastest-moving tech and industrial companies around, and a great base camp for a wide range of activities from outdoor and mountain sports to arts and culture.
• Grenoble offers an affordable lifestyle, ensuring you can plan for a comfortable future while advancing your career with us.
• The opportunity to develop in-demand skills alongside the best researchers in their fields.
• A collaborative work environment and a company culture where trust is paramount and where individual contributions are recognized.

To learn more about Quobly: https://quobly.io/