Careers

Join our global team advancing the performance of quantum computers

Location: Remote (EU, UK, Canada, or US). Preference for Stockholm, Sweden.
Company: FirstQFM

FirstQFM is a Stockholm-based deep-tech company developing machine-learning foundation models to improve the performance and scalability of quantum computers. Our work combines machine learning, quantum computing, and high-performance computing to enable more powerful and reliable quantum computing systems.

We are seeking a senior research scientist with strong expertise in both quantum computing and machine learning to design, build, and deploy next-generation foundation models. The role involves defining new research directions, developing models end-to-end, and taking projects from concept to production. The position offers wide scope for initiative, technical creativity, and ownership.

Responsibilities:

  • Research, design, and implement machine learning models that improve the performance and scalability of quantum computers.
  • Develop and maintain the software and infrastructure needed for model deployment.
  • Plan experiments, analyze outcomes, and refine model architectures.
  • Establish tools, standards, and methods that will guide future technical growth.

Required qualifications:

  • PhD (or equivalent experience) in Quantum Physics, Quantum Computing, Machine Learning, or a related field.
  • Proven ability to develop and deploy machine learning models with Python and frameworks such as PyTorch or TensorFlow.
  • Deep understanding of quantum computing and quantum algorithms.
  • Experience with common quantum SDKs, Amazon Braket, and machine learning development and deployment resources on AWS.
  • Familiarity with ion trap, superconducting, and neutral atom quantum computing platforms.
  • Self-directed, resourceful, and comfortable leading projects independently.
  • Excellent communication skills in English.

Preferred qualifications:

  • Hardware-level experience with ion-traps.
  • Publications or open-source contributions in relevant fields.
  • Experience with high-performance computing and large-scale machine learning model development and deployment.

Employment type:

  • Sweden: Full-time permanent employee with benefits under Swedish labor law.
  • Outside Sweden: Full-time remote team member under an administrative contractor arrangement for compliance purposes only, with equivalent compensation and equity.

Compensation:

FirstQFM provides competitive compensation tailored to the candidate's location and equity participation. Our compensation structure reflects both market conditions and individual experience.

To apply:

Send your CV, cover letter, and relevant publications or code links to recruitment@firstqfm.com. Applications are reviewed on a rolling basis.

Equal opportunity:

FirstQFM AB is an equal-opportunity employer and welcomes applicants from all backgrounds, in accordance with the Swedish Discrimination Act (2008:567).