EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries.
Software Engineer: Keystone Project (Machine-Verified LLM Inference)
Mission
The Keystone project, an ARIA-funded collaboration between EPFL and Imperial College London, aims to build a formally-verified ML inference engine, demonstrating that AI can help make verified systems competitive with unverified systems in terms of development effort, features, and performance. Its missions include the design and implementation of verified inference components, the formalization of GPU kernel semantics, the development of AI-assisted proof engineering workflows, and the open-source release of specifications, proofs, and verified artefacts.
We seek an excellent software engineer to play a central role in turning verified research prototypes into a production-grade, high-performance inference engine. Prior experience with formal verification is welcome but not required: a strong systems engineer with the motivation to learn proof-assistant technology will thrive in this role.
Main duties and responsibilities
Bring technical expertise in systems programming and performance engineering to support the project’s research; collaborate with the research teams at EPFL and Imperial College London
Design, implement, and maintain core components of the verified LLM inference engine, including the runtime and glue code connecting extracted verified code, GPU kernels, and drivers
Organize and manage the project’s engineering infrastructure: differential testing against reference engines (vLLM, SGLang), continuous integration for code and proofs, and performance benchmarking
Develop and maintain agentic AI pipelines for specification autoformalization, proof generation, and proof repair
Write documentation, procedures, and recommendations to ensure reproducibility of the project’s artefacts
Diagnose, prevent, and repair failures and regressions across the software stack
Analyze the security level and trusted computing base of the components we develop, and contribute to red/blue team exercises within the ARIA programme
Contribute to open-source releases and engage with their user communities
Profile
Higher degree in computer science or education deemed equivalent; experience in the field
Excellent technical knowledge of systems programming, and strong programming ability in several of: Python, C/C++, Rust, OCaml, or other functional languages
Knowledge of one or more of the following, with strong motivation to grow in the others:
GPU programming (CUDA, Triton, PTX) or high-performance computing
ML inference or serving systems (vLLM, SGLang, PyTorch internals, or similar)
Interactive theorem proving (Rocq, Lean, HOL, Isabelle, or similar) or other formal methods
Experience maintaining development tooling: build systems, continuous integration, and test infrastructure
Experience using LLM-based development tools or building agentic workflows is a plus
Mastery of English indispensable (oral and written); French is an asset but not required
Sense of priorities, integrity, and autonomy in your work
Team spirit and aptitude for conducting technical investigations and implementations; excellent ability to communicate with varied audiences, from proof engineers to systems researchers
Strong sense of service and spirit of initiative
We offer
The possibility to join a dynamic and stimulating team on a high-profile ARIA-funded project
A multicultural and academic working environment of high quality
Opportunities for continuing education and professional development
Excellent working conditions
Generous access to frontier AI models and high-performance compute
Funded travel for collaboration between Lausanne and London, and for conferences
Informations
For any further information, please contact: Nate Foster ( ).
Contract Start Date : , or to be determined
Activity Rate: 100.00
Contract Type: CDD
Duration: 1 year, renewable (project duration permitting)
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Software Engineer: Keystone Project (Machine-Verified LLM Inference) in Lausanne Arbeitgeber: École polytechnique fédérale de Lausanne, EPFL
Das Labor des Schweizerischen Instituts für experimentelle Krebsforschung am AGORA Cancer Research Center in Lausanne bietet eine dynamische und unterstützende Arbeitsumgebung, die auf Zusammenarbeit und Innovation ausgerichtet ist. Mitarbeiter profitieren von umfangreichen Weiterbildungsmöglichkeiten und einem starken Fokus auf persönliche und berufliche Entwicklung, während sie an bedeutenden Projekten im Bereich der Tumorimmunologie und Krebsforschung mitwirken. Die Lage in Lausanne ermöglicht zudem eine hohe Lebensqualität und Zugang zu einer lebendigen wissenschaftlichen Gemeinschaft.
Kontaktdaten:
École polytechnique fédérale de Lausanne, EPFL Recruiting-Team
