Simulation and Modeling Engineer
US$155,000 – US$200,000 / yr base salary
Posted 31 Aug 2026
Advertised as “Simulation & Modeling Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 2–5 yrs
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
- Visa sponsorship
- Offered
| Base salary | US$155,000 – US$200,000 / yr |
|---|
Field of studyComputer Engineering, Electrical Engineering
Study levelMaster's
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:
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Contribute to and improve the ASTRA-sim simulation environment for our hypbrid architecture
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Interface with a variety of internal teams and external collaboration partners
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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:
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Masters in Electrical or Computer Engineering and 2-5 years relevant work experience
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Contributed to the modeling and simulation environment of a distributed AI acceleration architecture
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Modeled complex training, inference and reasoning workflows implemented in a heterogeneous AI cluster of GPUs, CPUs and novel accelerators
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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
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Familiarity with architecture modeling and distributed simulation platforms, such as Gem5, ASTRA-sim and such
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Experience with 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.