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Quantum Engineer, Calibration Automation

IQM Quantum Computers Germany·Salary not specified

Primary stack

Python

Nice to have's

Machine LearningAI

Job description

About the Position

At IQM, we build world-leading quantum computers for the well-being of humankind. We design systems to tackle computational challenges beyond the practical limits of classical machines. Our work sits at the edge of science and engineering. It's complex, demanding, and deeply collaborative. We turn deep research into reliable, full-stack systems that drive discoveries in fields like medicine, energy, and technology, reshaping how the world computes.

Join the team that gives quantum a heartbeat.

Responsibilities

You will be part of the Calibration Automation team, which developed a graph-based calibration framework and corresponding calibration graphs for, e.g., initial calibration and recalibration of a quantum computer. Your role is to contribute to an improved calibration logic development, scalable calibration graph development, and calibration development for future chip architectures.

Requirements

  • Master's or PhD in Physics or Quantum Engineering, or equivalent experience in a related field.
  • Experience in calibrating quantum systems of any architecture. Examples include experience calibrating single-qubit gates, two-qubit gates, readout, or other relevant quantum operations.
  • Excellent software development skills in Python and best practices in software engineering (e.g. version control, testing, code review).
  • Ability to plan, execute, and analyze experiments independently.
  • Strong analytical and problem-solving skills.
  • Good communication skills and ability to work across teams.

Nice to Have

  • Data analysis skills (e.g. time-series analysis).
  • Experience with machine learning modeling, including training and deploying models in production.
  • Understanding of high-performance computing and parallelization techniques for numerical calculation and data processing.
  • Understanding of advanced statistical methods and decision-making techniques (e.g. Bayesian optimization, reinforcement learning, etc.).
  • Experience with AI tooling, such as AI harnessing for scientific and engineering tasks.

We Offer

  • Full-stack quantum computing: From quantum hardware to software layers and beyond, we build across the full-stack.
  • High-performance playground: We aim high, and we know sustainable performance only works when life outside work does too-hybrid setups, flexible hours.
  • Never the smartest: Expect to learn constantly. You won't always be the smartest person in the room, and that's the point.
  • Approachable leadership: Flat hierarchy, direct access. Feel free to approach any leaders. They're friendlier than they look!
  • The sweet spot: Big enough to matter. Small enough to move fast. Growing between a startup and a corporation. We’re in the phase where top performers get noticed.
  • Bigger than IQM: Our people build know-how for the entire quantum ecosystem. We publish papers, run hackathons, and help shape a market that's still being defined.

About the Company

At IQM, we build world-leading quantum computers for the well-being of humankind. We design systems to tackle computational challenges beyond the practical limits of classical machines. Our work sits at the edge of science and engineering. It's complex, demanding, and deeply collaborative. We turn deep research into reliable, full-stack systems that drive discoveries in fields like medicine, energy, and technology, reshaping how the world computes.

Join the team that gives quantum a heartbeat.

Founded in 2019, IQM has over 300+ co-workers and has built more than 30 quantum computers. We have filed over 300 patents and have locations in 10 countries globally.

© IQM Quantum Computers Germany. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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