Tübingen or Munich · Full-time
Simulation Engineer
| Quantum
Develop robust, high-performance simulators that reveal how quantum sensors respond to the world. You will turn sensing physics, quantum noise, and measurement into accurate JAX-based models that run efficiently on GPUs and remain predictive under realistic conditions.
The role
At Feyer, physics simulators are the environments in which our AI systems learn what is physically possible. Their speed, accuracy, and reliability determine the scale and quality of every experiment we can run.
In this role, you will own core parts of our quantum-sensing simulation stack, connecting the physics of a sensor to the signal and noise its readout actually measures. You will work closely with colleagues in physics, AI, and engineering to build reliable models of sensitivity, quantum resources, and practical operating limits.
What you will work on
- Own sensing simulation methods: build models that connect external signals to sensor response, noise, and measurable sensitivity across optical, mechanical, or atomic systems.
- Run simulations at scale: build differentiable simulation pipelines in JAX and optimize memory use, throughput, batching, and numerical precision on GPUs.
- Establish trustworthy validation: compare response functions, noise spectra, and measurement statistics with analytical limits, independent calculations, and published experimental results.
- Model real measurements: capture quantum resources, losses, decoherence, detector efficiency, thermal noise, and measurement time under practical operating constraints.
- Build durable scientific software: create modular APIs, benchmarks, tests, and documentation that make the simulator easy to extend and hard to misuse.
What you bring
- A strong foundation in physics, applied mathematics, computer science, or a related engineering field.
- Hands-on experience with numerical methods, computational physics, scientific software, or adjacent simulation work.
- Knowledge of quantum sensing, quantum optics, optomechanics, atomic physics, or a closely related field.
- A careful approach to verification, numerical testing, and building reliable simulation software.
Nice to have
- Experience with quantum noise, open-system dynamics, atomic sensors, or precision interferometry.
- Experience translating experimental constraints into models of measurement efficiency, coherence, thermal noise, or stability.
- Experience designing and profiling efficient JAX programs using automatic differentiation and transformations such as jit, vmap, and multi-device sharding.
- Experience scaling simulation workloads across multiple GPUs or compute nodes.
What we offer
- Own a simulation stack central to Feyer's AI systems, with the freedom to shape its numerical methods and software architecture.
- Access to hundreds of thousands of GPU-hours for large-scale simulation and AI experiments.
- One of 10 teams selected from 500+ applicants for SPRIND's Next Frontier AI Challenge, with a path to up to €26.5 million in equity-free funding per team.
- Work directly with an experienced founding team in a small interdisciplinary group spanning physics, AI, and engineering.
- A competitive salary that reflects your experience and impact.