AI Research Scientist - Photonic & Neuromorphic Computing

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:As an AI Research Scientist focused on photonic and neuromorphic computing, you will play a key role in designing AI algorithms and architectures, as well as simulation and optimization frameworks for emerging, non-traditional computing platforms. You will contribute to the development of algorithms, digital twins, and training methods that bridge AI, physics, and hardware-aware system design integrated within Axiomatic's next-generation agentic-AI-aware computational science tools.This role is part of Axiomatic's long-term research and product roadmap and spans multiple projects and initiatives, working closely with AI researchers, physicists, and software engineers to translate advanced concepts into scalable, high-impact solutions.Your missionSimulation and digital twins: Develop simulation and digital-twin tools that capture physical effects such as nonlinearities, noise, and precision limits, enabling hardware-aware algorithm development.Co-design and collaboration: Work closely with internal AI, software, and hardware teams to ensure tight alignment between algorithms, system constraints, and long-term platform goals such as automation of scientific workflows.Algorithm and system design: Design and prototype machine-learning architectures and physics-aware optimization workflows for neuromorphic systems, exploring how AI models can be efficiently mapped onto emerging hardware substrates.Research, benchmarking, and reporting: Evaluate system-level performance tradeoffs, conduct benchmarking studies, document results, and contribute to technical decision-making across Axiomatic's R&D portfolio.Key requirementsPhD in Computer Science, Artificial Intelligence, Physics, Electrical Engineering, Applied Mathematics, or a related field.Strong background in machine learning and neural-network architectures, with experience or strong interest in hardware-algorithm co-design, neuromorphic systems, or analog/unconventional computing.Expert-level proficiency in Python and modern ML frameworks.Solid understanding of scientific computing, modeling, and data-driven experimentation.Ability to collaborate effectively in a multidisciplinary, fast-paced research environment.Nice to haveBackground in photonic, analog, or non-CMOS computing systems.Experience with spiking neural networks, energy-efficient AI, or hardware-aware ML.Familiarity with physical simulation tools or custom modeling pipelines.Contributions to open-source or research software projects.What we offer:Competitive compensationStock 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.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.Team work model:Open to remote within the USPrimary location:Boston, USWhy join us?At Axiomatic_AI, you will be working on technology that drives innovation in AI for scientific and engineering applications in line with our 30 x 30 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 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!