Applied Researcher in Formal Methods for Physics

Applied Researcher in Formal Methods for Physics Barcelona, Spain About us Axiomatic_AI is dedicated to accelerating R&D by developing the next generation of Automated Interpretable Reasoning, a verifiably truthful AI model built for reasoning in science and engineering, empowering engineers specifically in hardware design and Electronic Design Automation with a mission to revolutionize the fields of hardware design and simulation in the photonics and semiconductor industry. We seek highly motivated professionals to help us bring these innovations to life, driving the evolution from development to commercial product. Position overview As an Applied Researcher specializing in Formal Methods for Physics, you will join a focused team, playing a key role in building new formal verification tools for science and engineering. Your responsibilities will include assessing Lean4 code for formalization, writing specific Lean4 libraries, proof integrity, and overall code quality. You will also manage data curation, conduct benchmarking to evaluate performance, analyze reasoning flaws and propose solutions. Close collaboration with our dedicated cross‑functional team – consisting of Lean experts, mathematicians, physicists, AI researchers and software engineers – will be essential to the success of the project. Your mission Lean4 development: Build and maintain in‑house Lean4 libraries, ensuring scalability, maintainability, and compatibility with our AI pipeline. Code evaluation: Assess Lean4 code for formalization, proof correctness compared to scientific requirements, and overall code quality. Data & benchmarking: Curate datasets, run benchmarks, and analyze performance results to guide improvements. Cross‑functional collaboration: Work closely with our focused research team to ensure fast‑paced progress. Key requirements Master’s degree in Mathematics, Physics, Computer Science, Artificial Intelligence, or related field. 1–2 years of experience, preferably in a mathematical, engineering, scientific, or academic setting. Ability to collaborate effectively within a multidisciplinary and multicultural environment. Curiosity, and a proactive, solution‑oriented mindset. Excitement to work in a dynamic and fast‑paced environment, ability to thrive in ambiguity. Technical skills Strong experience in applied formal methods and automated theorem proving. Lean4 (at least 1 year). Understanding of maths and physics. Preferred Qualifications (Nice to Have) Proven excellence in relevant areas (e.g., awards, competition wins). Demonstrated curiosity and passion for AI (e.g., personal projects, outreach activities, hobby work). Proven ability to independently solve complex problems or lead challenging projects. Understanding of AI and Machine Learning fundamentals. Academic or practical background in physics or other natural sciences, authorship in related publications. Strong proficiency in Python programming. Familiarity with good coding practices and software development standards. Proven contributions to open‑source projects, particularly in Lean4. What we offer Competitive compensation. Stock options plan: Empowering you to share in our success and growth. Cutting‑edge tools: Access to state‑of‑the‑art tools and collaborative opportunities with leading experts in artificial intelligence, physics, hardware and electronic design automation. Work‑life balance: Flexible work arrangements in one of our offices with potential options for remote work. Professional growth: Opportunities to attend industry conferences, present research findings, and engage with the global AI research community. Impact‑driven culture: Join a passionate team focused on solving some of the most challenging problems at the intersection of AI and hardware. Axiomatic_AI is working on technology that drives innovation in AI for scientific and engineering applications in line with our 10X30 mission. This is your opportunity to contribute to the development of new AI architectures that can reason coherently and produce interpretable and verifiable solutions. Consequently, see those ideas commercialized into products that will shape the future of hardware and computing, while collaborating with a global team of engineers and AI specialists. We believe in pushing the boundaries of what is possible and continuously seek to redefine the intersection of AI, with a focus on formal consistency. If you're ready to take your expertise in artificial intelligence and physics to the next level, we want to hear from you We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, veteran status, disability status, or any other protected characteristic. #J-18808-Ljbffr