Senior Tensor AI Scientist at Terra Quantum (Munich, Germany)

Job Description

Terra Quantum is hiring a Senior Tensor AI Scientist to lead research where tensor networks meet modern machine learning: compressing and training large deep-learning models using mathematics borrowed from quantum many-body physics.

At a glance

• Position: Senior Tensor AI Scientist
• Where: Germany, hybrid, with the Munich office as the base
• Pay: Terra Quantum does not state a salary in this posting
• Type: Full time, permanent
• Apply by: open until filled; re-check before applying
• Apply: open until filled (re-checked 16 October 2026)

About the senior tensor AI scientist role at Terra Quantum

• Take a leading role in advancing and scaling up the company’s tensor network research, developing new methods for efficient model architectures, training and optimisation
• Design and train modern deep-learning models, with a focus on making large-scale training more efficient
• Develop the algorithms at the core of these methods, taking ideas from concept to validated result
• Apply the methods to real industrial problems with teams across the division
• Contribute to patents and selected publications, and represent Terra Quantum at conferences
• Help structure the team’s research and mentor junior colleagues

The posting calls this an area of strategic importance for the company, reporting to the Director of Advanced Technologies within the Advanced Computing and Modelling team. Note that quantum computing itself appears under preferred rather than required skills: the core of the job is deep learning and applied mathematics. The posting does not give a closing date, so the role stays listed until it is filled. Re-check the official posting before you apply.

What Terra Quantum is looking for

• More than five years of relevant post-PhD experience, or equivalent experience after an MSc, in machine learning, applied mathematics, computer science or a closely related field
• 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 in PyTorch or JAX
• A strong command of optimisation for machine learning: gradient-based and large-scale methods, regularisation and training dynamics
• Experience with efficient training and model compression such as low-rank methods, quantisation, distillation or sparsity
• Strong Python and solid software engineering, with GPU and HPC experience and distributed training
• A record of publications or patents, and the ability to run a research direction independently

Nice to have

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

Pay and location

Terra Quantum does not state a salary in this posting

How to apply

Apply through the official Terra Quantum job posting. Terra Quantum’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 16 October 2026. Check the posting for location and work-authorisation details before you apply.

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