**About us**Axiomatic_AI is dedicated to accelerating R&D; by developing Automated Interpretable Reasoning, the next generation of a verifiably truthful AI model built for reasoning in science and engineering, with the goal of empowering engineers specifically in hardware design and Electronic Design Automation (EDA). Our mission is 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 research, development to commercial products.**Position overview**As an Applied Researcher specializing in Formal Methods, 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 AI Engineers, Software Engineers, Physicists and AI scientists - will be essential to the success of the project.**Your mission**- ** Lean4 development**:Build and maintain an 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 requirement, 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 Data Science, Computer Science, Information Technology, or Artificial Intelligence- 1-2 years of experience, preferably in a mathematical, engineering, scientific, or technical setting.- Strong communication skills- Ability to collaborate effectively within a multidisciplinary and multicultural environment- Curiosity, and a proactive,, excitement to work in a dynamic and fast-paced environment, thrives in ambiguity- Availability to travel for about two months per year to other office locations**Technical skills**:- Strong experience in applied formal methods and automated theorem proving- Lean4 (1+ years at least)- Programming skills, software design patterns**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- 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 general 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.**Why join us?