Sygaldry builds quantum-accelerated AI servers to exponentially speed up AI training and inference, cutting compute costs and improving energy efficiency. Backed by Y Combinator.
About the role
This role is focused on the modeling and simulation of high-performing AI hardware, and does not require prior knowledge of quantum computers. This role is empowered to lead the definition and implementation of the simulation, modeling and emulation roadmap for the company. 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.
What they're looking for
- Lead the effort to design, select and implement 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
- Experience with Verilog/VHDL RTL simulation platforms like VCS
More about this role
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.
This role is focused on the modeling and simulation of high-performing AI hardware, and does not require prior knowledge of quantum computers. This role is empowered to lead the definition and implementation of the simulation, modeling and emulation roadmap for the company. 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.
Lead...
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