Senior Silicon Quantum Device Characterisation Engineer

Quantum Motion Technologies; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Competitive salary and share options

Contributory pension scheme

Group private medical insurance scheme

Life Assurance

Cycle-to-work Scheme

Central London location

Job summary

Quantum Motion is seeking a Senior Electrical Characterisation Engineer to join the Process Integration team in London. You will drive electrical characterisation of silicon devices, extract insights from large datasets and feed back to fabrication steps to improve yield and device performance.

You will develop automated test infrastructure, collaborate with foundries and engineers, and help shape measurement capabilities for next-generation silicon-based quantum processors.

Qualifications

• Master's or PhD in Electrical Engineering, Microelectronics, Semiconductor Physics, Materials Science or a closely related discipline.
• 3+ years' experience in semiconductor device testing, reliability engineering, electrical characterisation or yield analysis within a foundry, IDM or semiconductor R&D environment.
• Strong understanding of silicon CMOS fabrication processes, semiconductor device physics and foundry workflows.
• Hands-on experience with semiconductor parameter analysers, SMUs and wafer probe stations, including DC and/or RF electrical testing.
• Strong Python skills, particularly for instrument control, automation and automated test execution.
• A highly analytical approach and the ability to work with large datasets to identify trends, anomalies and root causes.
• Excellent communication skills, with the ability to collaborate effectively across semiconductor, process, hardware and quantum engineering teams.

Responsibilities

• Drive electrical characterisation of fabricated silicon devices, developing and continuously improving high-throughput screening methods to assess key device parameters including threshold voltage, gate oxide reliability and channel mobility.
• Turn electrical data into manufacturing insight, identifying patterns, variability and device failures and connecting them back to semiconductor process steps such as photolithography, etching, oxide growth, CMP and doping.
• Develop automated measurement and test infrastructure, creating robust Python-based test routines and instrument-control workflows across room-temperature and, where appropriate, low-temperature wafer probing environments.
• Analyse large-scale electrical datasetsusing statistical process control, yield analysis and other data-driven techniques to monitor wafer uniformity, defect density and process drift.
• Work directly with semiconductor foundries and process engineers, providing clear, actionable feedback that can be used to improve device performance, consistency and yield.
• Build scalable characterisation processes, establishing testing standards, calibration procedures, SOPs and data pipelines that allow information to flow effectively between semiconductor process integration and quantum engineering teams.
• Help shape how we characterise the next generation of our technology, bringing your expertise and ideas to continuously improve our measurement capability as Quantum Motion scales.
• We are looking for someone who combines strong semiconductor device knowledge with a practical, data-driven approach to electrical characterisation.

Skills

Python

Data analysis

Electrical characterisation

Semiconductor device knowledge

Communication skills

Automation

Education

Master's or PhD in Electrical Engineering or related field

Tools

Semiconductor parameter analysers

SMUs

Wafer probe stations

Job description

Quantum Motion is seeking a Senior Electrical Characterisation Engineer to join the Process Integration team in London. You will drive electrical characterisation of silicon devices, extract insights from large datasets and feed back to fabrication steps to improve yield and device performance.

You will develop automated test infrastructure, collaborate with foundries and engineers, and help shape measurement capabilities for next-generation silicon-based quantum processors.