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# Senior LLM Algorithm Developer

- **Company:** Q.ant Gmbh
- **Location:** Stuttgart, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Digital Electronics, Language Modeling, Systems Architecture, PIC Microcontroller, Pytorch, Large Language Models, Information Technology, Modeling and Simulation, Stable Diffusion
- **Published:** September 28, 2026
- **Apply:** https://www.adzuna.de/details/5901533857

## About the Role

* Education: University degree (MSc or PhD) in Computer Science, Mathematics, Physics, or a related technical field. A PhD focused on LLM core components is highly preferred.
 * Technical Expertise: Deep algorithmic knowledge of how LLMs work and perform, including a comprehensive grasp of the bottlenecks and challenges of vanilla transformers.
 * Hands-on Experience: Proven experience developing LLM core pieces. Deep academic/PhD research on these topics is highly valued (no formal industry experience required for PhD holders; MSc applicants should demonstrate relevant experience on top of their studies).
 * Advanced Architectures (Bonus): Familiarity with hybrid architectures (e.g., State Space Models like Mamba and Gated DeltaNet), diffusion language models, reasoning models, or hardware-software co-design for AI accelerators is a strong advantage.
 * Tools & Frameworks: High proficiency with PyTorch, JAX, frameworks like vllm, llama.cpp, or similar environments.
 * Track Record: Significant contributions to LLM open-source projects or published papers/talks at leading AI/ML conferences are a huge plus.
 * Mindset: Strong ownership, solution orientation, and "first principles" thinking. You thrive in a highly creative, research-centric environment where innovation is required.
 * Communication: Fluent in English (working language)., * We hire for attitude and train for skills. We value deep curiosity, a research-first mindset, and the drive to invent.

## Description

* Algorithmic Innovation: Rethink, design, and create new algorithms for LLMs tailored to photonic capabilities, optimizing existing algorithm layers to achieve breakthrough performance.
 * Modeling & Simulation: Project, model, and simulate the performance and scalability of advanced LLM architectures to ensure future systems can leverage them with maximum confidence.
 * Hardware-Software Co-Design: Inform and collaborate tightly with the PIC (Photonic Integrated Circuit) and Systems Architecture teams to define the design points of future hardware generations based on algorithmic requirements.
 * Cross-Functional Collaboration: Act as the vital link bridging software and hardware architecture discussions, aligning closely with the overall vision and direction of the algorithms and applications team.
 * Ownership & Initiative: Drive your research with a high degree of freedom, moving from first principles to concrete, inventive solutions that push the boundaries of what is possible in analog/digital electronics and photonics.