QuantWare

R&D - Software Engineer

QuantWare
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15 days ago
Delft, NetherlandsMid Level

Responsibilities

  • Develop and maintain storage and organization systems for R&D measurement data and metadata, including device, test, component, and setup-history relationships.
  • Convert experimental measurement prototypes into robust, tested, maintainable software for VIO devices, components, and PCM test vehicles.
  • Review, refactor, and maintain modular Python code using automated testing, documentation, version control, and modern software practices.
  • Collaborate with experimental physicists, RF test engineers, electrical engineers, Product software teams, and Operations data teams.
  • Own R&D software functionality through validation, review, and integration.
  • Standardize experimental workflows to support measurement throughput, analysis, yield investigations, and root cause analysis at scale.

Requirements

  • MSc in Computer Science, Electrical/Computer Engineering, or a similar field.
  • At least 3 years of industry experience.
  • Experience building software that interacts with hardware in manufacturing, test and measurement, lab or factory automation, or control-system contexts.
  • Strong Python experience maintaining and improving code for data acquisition, automation, or scientific pipelines.
  • Experience working with databases and cloud computing platforms such as GCP and AWS.
  • Working knowledge of object-oriented design, Git, code review, and testing frameworks.
  • Hands-on experience controlling test and measurement equipment is a plus.
  • Experience in a quantum device foundry or test facility is a strong plus.
  • Ability to work across multidisciplinary hardware, software, and data teams and reduce manual measurement and analysis overhead.

Benefits

  • Competitive salary and an 8% holiday allowance.
  • Pension plan with partner and dependent coverage.
  • Flexible hybrid work setup and open vacation policy.
  • Learning and development budget based on individual ambitions, development needs, and performance.
  • Team events, offsites, and other team-building activities.
  • Pre-employment screening may be required as part of the recruitment process.

Categories

Data Engineering
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