Simulation & Modeling Engineer

About the company

Sygaldry is a company building quantum-accelerated AI servers designed for data centers to speed training, inference, and reasoning while improving energy efficiency.

About this role

About Sygaldry Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference for AI. By integrating quantum and AI, we're accelerating the path to superintelligence, and engineering the conditions for it to scale efficiently and operate affordably. Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to deliver the combination of cost, scale, and speed necessary for advanced AI applications. We pioneer new domains in physics, engineering, and AI, tackling the hardest challenges with a grounded, optimistic, and rigorous culture. We're looking for individuals ready to define the intersection of quantum and AI and drive its profound global impact. What You’ll Work On This role is focused on the modeling and simulation of high-performing AI hardware, and does not require prior knowledge of quantum computers. It will interface with a variety of internal teams and external partners with whom we are planning to collaborate. We will share more detail about this role during in-person discussions. Key responsibilities: - Contribute to and improve the ASTRA-sim simulation environment for our hypbrid architecture - Interface with a variety of internal teams and external collaboration partners - Work with internal teams that have developed estimation tools to help them integrate these tools into the simulation & modeling framework You May Be a Fit if You Have: - Contributed to the modeling and simulation environment of a distributed AI acceleration architecture - Modeled complex training, inference and reasoning workflows implemented in a heterogeneous AI cluster of GPUs, CPUs and novel accelerators - Exposure to the simulation environments used by the GPU/XPU supplier, hyperscalers and/or frontier labs for simulation AI workloads on various system and hardware architectures - Familiarity with architecture modeling and distributed simulation platforms, such as Gem5, ASTRA-sim and such - Experience with C++ or SystemC behavioral models and timing-aware behavioral models How We’re Different At Sygaldry, curiosity and intellectual courage drive our work. We approach ambitious challenges with a grounded, optimistic, and rigorous culture and know that kind people build the strongest teams. We prioritize mission over ego and collaborate openly with a strong sense of shared purpose. We dream big, yet we execute with a love of detail. We’re looking for scientists, engineers, and operators to forge new paths with us at the intersection of quantum and AI. Culture & Benefits - Visa Sponsorship - We know what it takes to make top talent thrive here. We’re open to supporting visas whenever possible. - Compensation - We value your contribution and invest in your future with a competitive salary and meaningful equity. - Benefits - Your well-being matters. We provide company-sponsored health coverage to give you and your family peace of mind. - Connection - Whether it’s company offsite or casual crew socials, we make time to connect, recharge, and have fun together. - Time Off - We trust you to take the time you need. Unlimited PTO so you can rest, recharge, and come back ready to make an impact. We encourage applications from candidates with diverse backgrounds. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. We encourage you to apply even if you do not believe you meet every single qualification. If you don’t think this role is right for you, but you believe that you would have something meaningful to to contribute to our mission, please reach out at letsbuild@sygaldry.com. Location: This position can be located on-site in San Francisco, Ca or Ann Arbor, MI