📍 Vienna, Austria (On-Site)

🧠 Medical Imaging | Scientific Computing | Solver Development

About EMTensor GmbH

EMTensor GmbH is a privately owned MedTech company based in Vienna, Austria, developing a novel biomedical imaging modality based on radio-frequency (RF) technologies operating around 1 GHz. Our core mission is to revolutionize human brain imaging and diagnostics for neurological disorders by combining physics-based modeling, high-performance computing, and medical innovation. Learn more at www.emtensor.com.

We are seeking a Lead Solver Engineer to join our interdisciplinary R&D team and play a key role in the development of advanced solvers powering our next-generation imaging systems. This position offers the opportunity to work on complex inverse problems, cutting-edge numerical methods, and real-time medical applications in a collaborative and high-impact environment.

You will lead the design and implementation of large-scale, high-performance solvers for RF tomography. Your work will directly contribute to breakthrough imaging technologies for real-time brain diagnostics. You’ll collaborate with physicists, hardware engineers, and software developers to bring robust, scalable computational methods from prototype to clinical reality.

• Design, develop, and maintain solvers for large-scale PDEs and inverse problems in computational imaging.
• Optimize performance of existing solver pipelines (CPU/GPU, parallelism, memory management).
• Integrate solvers into production workflows in collaboration with broader engineering and algorithm teams.
• Provide technical leadership and mentorship to junior developers and researchers.
• Ensure numerical robustness, speed, and scalability across multiple imaging scenarios.
• Contribute to long-term R&D strategy in solver architecture and computational techniques.

Essential Skills & Experience

• MSc or PhD in Applied Mathematics, Electrical Engineering, Computational Physics, or related field.
• 5+ years of experience in scientific computing with a focus on solver development.
• Strong expertise in numerical methods: FDTD, FEM, FDFD, integral equations, multigrid, Krylov solvers.
• Proficiency with high-performance computing libraries (e.g., PETSc, Trilinos, MFEM, Hypre, deal.II).
• Solid programming skills in C/C++ and/or Fortran, with experience in optimization and parallel computing (MPI, OpenMP, CUDA).
• Track record of debugging, validating, and refactoring complex numerical code.
• Experience working in cross-functional teams and leading computational software development efforts.

Bonus Skills

• Experience with real-time or embedded systems in scientific or medical applications.
• Familiarity with adjoint methods, PDE-constrained optimization, or inverse problems.
• Exposure to ML-enhanced solvers (e.g., PINNs) or physics-informed neural networks.
• Workflow automation and scripting in Python (NumPy, petsc4py, PyTorch, JAX).

• Passionate about computational science and medical innovation.
• A collaborative problem-solver who thrives on complex challenges.
• Detail-oriented, self-motivated, and driven by impact.

At EMTensor, you will help shape the future of diagnostic imaging. If you are excited by the idea of developing advanced solvers with real-world medical applications, we’d love to hear from you.