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. 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.
Key responsibilities:
Lead the effort to design, select and implement Sygaldry's distributed simulation environment
Define the simulation, modeling and emulation roadmap for the company
Set everything up the simulation infrastructure from scratch
Interface with a variety of internal teams and external collaboration partners
Work with internal teams that have developed estimation tools to coach them and help them integrate these tools into the simulation & modeling framework
You May Be a Fit if You Have:
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
How We’re Different
We’re building the infrastructure for quantum superintelligence and pioneering new domains at the intersection of physics, engineering, and AI. 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.
Culture & Benefits
The Best of Both Worlds: Access to the industrial-scale compute and hardware resources while retaining the intellectual freedom of an academic environment.
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 high-level expertise. This position offers a salary significantly above standard academic postdoctoral rates.
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.
This position can work out of our San Francisco or Ann Arbor offices. Competitive compensation package is based on experience and location. Expected base salary range:
San Francisco, CA: $220K-$325K
Ann Arbor, MI: $180K-$290K
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 characteristics.
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 contribute to our mission, please reach out to [email protected].
Skills Required
- Lead design, selection, and implementation of distributed simulation environment for AI acceleration architecture
- Define simulation, modeling, and emulation roadmap for the company
- Build and set up simulation infrastructure from scratch
- Model complex training, inference, and reasoning workflows on heterogeneous clusters of GPUs, CPUs, and novel accelerators
- Familiarity with architecture modeling and distributed simulation platforms (e.g., Gem5, ASTRA-sim)
- Experience with C or SystemC behavioral and timing-aware models
- Experience with Verilog/VHDL RTL simulation platforms (e.g., VCS)
- Ability to interface and collaborate with internal teams and external partners to integrate estimation tools into simulation framework
What We Do
Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference. Its 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. The company is led by quantum veterans Chad Rigetti and Idalia Friedson and AI scientist Michael Keiser. Sygaldry has offices in Ann Arbor, Michigan and San Francisco, CA.
