R&D - Software Engineer

Entangled Future; Delft; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

QuantWare in Delft is seeking a mid-level R&D Software Engineer to join the software engineering team. You will develop measurement software, collaborate with experimental physicists and RF test engineers, and turn prototypes into robust code.

The role emphasizes Python, data acquisition, hardware interaction, and modern software practices, including CI/CD, testing, and version control, in a hybrid environment with strong growth potential.

Qualifications

• MSc in Computer Science, Electrical/Computer Engineering, or similar with 3+ years of industry experience.
• Experience building software that interacts with hardware in manufacturing, test, or automation contexts.
• Strong Python skills and experience with data acquisition or scientific pipelines.
• Experience with databases and cloud platforms (GCP and AWS) for technical data.
• Proficiency in OO design, Git, code reviews, and testing frameworks.

Responsibilities

• Data management: Develop and maintain how R&D measurement data and metadata are stored, linking each device to its related tests, components, and setup history.
• Measurement software: Turn measurement prototypes into robust, tested, maintainable code for R&D devices and tests.
• Code architecture & quality: Review, refactor, and maintain modular Python code with automated testing, CI/CD, and docs.

Skills

Python

Data acquisition

CI/CD

Education

MSc in Computer Science or Electrical/Computer Engineering

Tools

Git

PyTest

Cloud platforms (GCP/AWS)

Databases

Job description

R&D - Software Engineer at QuantWare, Delft. A mid-level full time position in the Research & Development team, listed under software engineering.

At QuantWare, you’ll be part of a high-performing team of world-class experts in an ambitious, fast-moving environment. From day one, you’ll have the trust, tools, and support to do your best work. Here’s what you can expect: Competitive salary - A salary that reflects the impact and importance of the role (and of course 8% holiday allowance) Pension that’s built to last - A generous and future-proof pension plan that includes partner and dependent coverage.

Flexibility built on trust - We focus on outcomes. Work flexibly, in a hybrid setup, with an open vacation policy that lets you manage your time Personal growth - We invest in your L&D, with a budget available to each team member, dependent on their individual ambitions, development needs, and performance A connected team - We make space to celebrate wins together, with team events, offsites, and spontaneous moments that bring us closer

Responsibilities

• Data management: Develop and maintain how R&D measurement data and metadata are stored, linking each device to its related tests, components, and setup history, so cross-device comparisons and yield questions become a quick query.
• Measurement software: Turn measurement prototypes from experimental physicists and RF test engineers into robust, tested, maintainable code, and maintain the R&D measurement codebase for VIO devices, their components, and PCM test vehicles.
• Code architecture & quality: Review, refactor, and maintain modular Python code following modern software practices (automated testing with PyTest, CI/CD, documentation, version control).
• Collaboration: Work day-to-day with experimental physicists, RF test engineers and electrical engineers to improve their measurement code, and connect R&D with the software team in Product to bring in best practices.
• Ownership: Own R&D software functionality through validation, review, and integration.

Requirements

• MSc in Computer Science, Electrical/Computer Engineering, or similar, plus 3+ years of industry experience (must).
• Experience building software that interacts with hardware, such as in the context of manufacturing companies, test and measurement systems, lab or factory automation, or control systems (must).
• Hands‑on experience in control of test and measurement equipment is a plus, and experience in a quantum device foundry or test facility is a strong plus.
• Strong Python, with a track record of improving and maintaining code for data acquisition, automation, or scientific pipelines.
• Experience working with databases and cloud computing suites like GCP and AWS for technical or experimental data.
• Working knowledge of best practices, including object-oriented design, Git, code review, and testing frameworks.
• Strong drive to eliminate manual measurement and analysis overhead.
• Comfortable in a multidisciplinary scale‑up, translating between experimental hardware teams and production software, and aligning with other teams working on data and software (Ops, Product).