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Terra Quantum

Delivers quantum computing and security services

Senior Tensor AI Scientist

AI ResearchConfirmed live in the last 24 hours
Full-timeGermanyNo salary listed

About the Job

Requirements

  • More than 5 years of relevant post-PhD experience, or equivalent experience after an MSc, with significant relevant experience in machine learning, applied mathematics, computer science, or a closely related field, and strong mathematical foundations in linear algebra, numerical methods, optimisation, and probability.
  • Hands-on experience training modern deep learning models such as transformers, including efficient large-scale training and fine-tuning, using frameworks such as PyTorch or JAX.
  • Strong command of optimisation methods for machine learning, including gradient-based and large-scale optimisation, regularisation, and training dynamics.
  • Experience with efficient training and model compression techniques, such as low-rank methods, quantisation, distillation, or sparsity.
  • Ability to master new mathematical frameworks quickly, demonstrated through existing expertise or a clear track record of learning them.
  • Strong Python skills and solid software-engineering practice, with experience in GPU and HPC environments and distributed training.
  • A record of publications or patents, and the ability to take a research direction from concept to result independently.
  • Strong communication and organisational skills, and willingness to guide and develop junior colleagues.

Responsibilities

  • Take a leading role in advancing and scaling tensor network research, developing new methods for efficient machine-learning model architectures, training, and optimisation, and pushing them beyond the current state of the art.
  • Design and train modern deep learning models, focusing on making large-scale training more efficient.
  • Develop and improve the algorithms at the core of the methods, taking ideas from concept to validated result.
  • Work with teams across the division to apply these methods to challenging real-world problems.
  • Contribute to patents and selected publications, and represent Terra Quantum at leading conferences.
  • Help structure the team's research and mentor junior colleagues, raising scientific and engineering standards.
  • Collaborate with engineers across the division to run methods efficiently on modern computing platforms.

Desired Qualifications

  • Knowledge of tensor networks and related numerical and optimisation methods.
  • Domain exposure to one or more of finance, chemistry, or operations.
  • Knowledge of C++ and familiarity with quantum computing.

About the Company

Terra Quantum

Delivers quantum computing and security services

Terra Quantum provides quantum technology services to businesses through Quantum as a Service. It designs, builds, runs, and secures quantum-enabled solutions using a hardware-agnostic library of quantum algorithms and a hybrid quantum cloud to execute applications. Clients access breakthrough algorithms, tune and run quantum models, and use quantum-secure communications to protect data, all without needing in-house quantum hardware. The company differentiates itself by offering end-to-end, platform-wide access to quantum tools and a GAIA-X compliant cloud, enabling practical, scalable quantum workloads across industries. Its goal is to help companies improve performance, solve complex problems, and strengthen security, giving them a competitive edge in fields like mobility and finance.

Company size
51-200
Company stage
IPO
Headquarters
St Gallen, Switzerland
Founded
2018

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