AI & Measurement Lead Systems Engineer

About us: Axiomatic AI is building a new class of AI systems designed to reason with the rigor of the scientific method. By combining deep learning with formal logic and physics-based modeling, we create verifiable, interpretable AI systems that collaborate with and support human researchers in high-stakes scientific and engineering workflows. Our mission, 30×30, is to deliver a 30× improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by 2030. We aim to revolutionize hardware design and simulation in these industries and are building a team of highly motivated professionals to bring these innovations from research into commercial products. Position overview We are seeking a Lead Systems Engineer to own the holistic architecture and deployment of the AX-Measure platform. In this role, you will be the bridge between our internal R&D team and our external partners in semiconductor and quantum manufacturing. You will be responsible for the AX-Measure product to ensure our agentic AI, software infrastructure, and hardware control layers come together to solve critical customer problems. You will translate customer pain points into concrete technical specifications, oversee system integration, and lead the deployment of our technology into our customers’ facilities. Responsibilities Define the end-to-end system architecture, specifying how AI agents interface with customer hardware, data infrastructure, and EDA workflows Lead the technical integration of sub-systems (instrument drivers, algorithms, database layers) to ensure they function as a cohesive, fault-tolerant product Specify and drive system-level KPIs (e.g., measurement throughput, latency, thermal stability, data integrity, failure rates) across the team. Serve as the primary technical point of contact for key customers. Translate their requirements into engineering tasks Lead the deployment and commissioning of our systems at customer facilities and ensure smooth integration with their existing tool chains. Gather user feedback to inform the product roadmap and prioritize R&D efforts. Drive integration between measurement software, instrument control layers, and modeling or design tools Define product interfaces and abstractions that enable scalable deployment across diverse hardware environments Establish best practices for applying agentic AI to high-stakes physical experimentation and manufacturing environments Requirements M.S. or PhD in Engineering (electrical or mechanical), Applied Physics or equivalent industry experience 7+ years of hands-on engineering experience, with at least 3 years in a system-level or customer-facing technical role 5+ years of professional experience in quantum technologies, semiconductor process control, photonics, or related domains 3+ years of experience in automation of measurements and data analysis Deep familiarity with semiconductor test flows (Wafer Acceptance Test, reliability testing, screening), especially related to electro-optic characterization Demonstrated experience working with external clients, partners, or vendors Experience technically leading a small, cross-functional team (reviewing code, setting timelines, unblocking architectural disputes). Familiarity with machine learning or AI approaches applied to scientific or engineering problems Strong communication skills and experience working across research, product, and industry boundaries Nice to have Experience working directly with semiconductor companies, foundries, and R&D partners Experience with formal systems engineering methodologies Experience with agentic AI frameworks and tooling Experience with high volume manufacturing environments Experience in autonomous experimentation, closed-loop optimization, or self-driving lab concepts Track record of translating research systems into deployed products Familiarity with modern software engineering best practices for scientific or industrial systems High agency: self-starter, no task too large or too small attitude. 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, and sponsored visit to other Axiomatic Offices around the world. 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.