---
title: 'Applied AI Scientist, Technology Partnerships (Senior/Principal) at Sygaldry Technologies'
canonical: 'https://feeny.ai/job/applied-ai-scientist-technology-partnerships-senior-principal-sygaldry-7vnkat6hhjnn'
type: 'job'
last_seen: '2026-09-10'
---

# Applied AI Scientist, Technology Partnerships (Senior/Principal) at Sygaldry Technologies

- **Company:** Sygaldry Technologies
- **Location:** San Francisco, CA
- **Compensation:** $200k–$300k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-31
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/sygaldry-technologies/a6bcb0d5-732f-452f-8ac8-37a5bcbb2311

## Job description

## 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 addressing the problem of rising compute costs and energy bottlenecks. 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.

## The Role

Our AI & algorithms team develops quantum approaches to training, inference, and reasoning, including quantum-native generative modeling. Much of this work runs today on classical hardware at small scale, built so that results transfer directly to quantum processors as they come online. Increasingly, that research meets real problems. Partner organizations bring workloads from their own domains, and someone has to carry our methods into each one and find out how well they hold. That is this role. You are a computational scientist who takes scoped collaboration and does the technical work: understand the partner's problem well enough to know where our methods can genuinely help, prototype, benchmark against what they already trust, and be the technical voice in the room when results are discussed. Our partnerships managers own the relationships and run the programs; our research scientists develop the algorithms. You produce the evidence.

## What You'll Work On

Applied Work in Partner Domains

- Assess where our quantum-native generative methods apply to a specific domain: which algorithm, under what assumptions, in which regime it wins, and what would count as evidence
- Build and run the proof-of-concept work, and adapt research-team implementations to relevant domains
- Validate against the reference methods the partner already trusts, whether that's molecular dynamics, Monte Carlo, a classical solver, or their production model
- Present and refine results in technical working sessions, and carry what you learn -- model scales, data characteristics, evaluation criteria -- back into decisions about what we develop next

Benchmarking & Evidence

- Produce evidence by whichever route fits the question: approximate simulation where a structured representation scales, circuit emulation where exact small-scale results matter, and analytic resource models to reach past what either can run
- Design benchmarks that hold up: quantum, classical, and hybrid compared under realistic assumptions, against the strongest classical method rather than a convenient one
- Use our internal modeling and simulation environment to show a partner what their own workload would look like on our architecture
- Extend those models to new algorithm workloads, and produce the charts, comparisons, and reproduction artifacts behind our published and partner-facing results

You May Be a Good Fit If You:

- Are a scientist who ships: you write code daily, and your results are reproducible by someone else
- Are quantitatively deep enough to judge whether a result is right, not only whether the pipeline ran
- Can hold a technical conversation with a domain expert in a field you didn't train in, and come out knowing where the real bottleneck is
- Value rigor: you are comfortable assessing where quantitative methods help, where they don't, and what evidence distinguishes the two
- Move fast, and can carry several engagements in parallel without letting any of them go stale

Strong Candidates May Have

- Advanced training (MS, PhD) in a computational field -- physics, chemistry, applied mathematics, computational biology, engineering -- or equivalent depth built in industry
- Strong Python and scientific computing: linear algebra, ODE/SDE solvers, sampling and Monte Carlo methods, uncertainty quantification
- Generative modeling experience: diffusion, flow matching, normalizing flows, score-based or energy-based models
- Exposure to tensor network methods or other structured representations for high-dimensional problems
- Applied domain experience in molecular or materials modeling, time-series forecasting, physical simulation, or generative design
- Technical writing ability, and a track record of reproducible research artifacts or collaborative publications
- Curiosity about quantum computing; prior experience is welcome but not required

## 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 publish our algorithm work when it meets our bar, and we lean into agentic AI tools as part of daily workflows. 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 a 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.

Location: San Francisco - On Site. Occasional travel for cross-site coordination and partner meetings. Compensation: Salary + Equity. Base Salary $200,000 - $300,000.

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 contribute to our mission, please reach out at letsbuild@sygaldry.com.

## About Sygaldry Technologies

## Company Overview
- **One-liner**: Sygaldry Technologies is building quantum-accelerated AI servers that combine multiple qubit types in a fault-tolerant architecture to exponentially speed up AI training and inference.
- **Entity Type**: Private (Series A)  
- **Headquarters**: Mountain View, California, USA (with offices in San Francisco, California and Ann Arbor, Michigan)  
- **Founded**: 2024  
- **Founders**: Chad Rigetti, Idalia Friedson, Michael Keiser

## Core Business
- **Primary industries**: Quantum computing, AI infrastructure, hardware  
- **Target customers**: AI companies, enterprise AI developers (B2B) requiring faster, cheaper training and inference.  
- **Mission**: To build the infrastructure for quantum superintelligence – enabling affordable, sustainable, personalized, and secure AI that augments human capabilities.

## Products & Services
- **[Quantum-Accelerated AI Servers]**: Hardware systems that combine multiple complementary qubit modalities within a single fault-tolerant architecture. This design mimics classical computer design (e.g., RAM, storage, processor) and is intended to deliver exponential compute speedup for AI training and inference at a fraction of the cost and energy of GPUs alone.  
- **[Tools & Integrations]**: Software tools and APIs that allow AI researchers and engineers to integrate quantum capabilities into existing AI models and workflows, enabling faster fine-tuning, faster token generation, and new model architectures.

## Market Standing
- **Valuation/Market Cap**: Not disclosed  
- **Key Metric**: $139 million raised in a Series A round (led by Breakthrough Energy and Initialized Capital, announced April 2026) [sygaldry.com](https://sygaldry.com/) plus a prior $125k seed round [linkedin.com](https://www.linkedin.com/company/sygaldry-technologies).  
- **Notable Investors/Partners**: Breakthrough Energy, Initialized Capital, Y Combinator (Spring 2025 batch), Nicolas Dessaigne (Primary Partner at YC).  
- **Growth Signals**: 10% monthly headcount growth; 21 employees as of mid‑2026; 11 active job postings; appearances in Fortune, Bloomberg, and Inc. Magazine; expanding presence in the US, Austria, and Singapore.

## Competitive Advantages
- **Multi‑qubit‑modality architecture**: Sygaldry’s approach of combining different qubit types within one fault‑tolerant server is unique in the quantum industry, analogous to how classical computers use different technologies for RAM, storage, and logic.  
- **Experienced leadership**: Co‑founder Chad Rigetti previously founded Rigetti Computing (YC S14, NASDAQ: RGTI), a public quantum computing company. Idalia Friedson helped take Rigetti public and has deep tech policy experience. Michael Keiser brings AI/ML expertise.  
- **Strong funding & backing**: Backed by Breakthrough Energy and Y Combinator, providing both capital and strategic network effects.  
- **AI‑focused hardware**: Addresses the specific cost, energy, and scaling bottlenecks that classical GPUs face for advanced AI workloads.

## Strategic Focus
- Scaling quantum‑accelerated servers for AI data centers.  
- Developing fault‑tolerant quantum computers that leverage multiple qubit types.  
- Building an ecosystem of tools, partnerships, and GTM channels to integrate quantum into mainstream AI pipelines.  
- Expanding the team across quantum physics, AI/ML, engineering, and commercial roles.

## Why Work Here
- **Culture**: Described as “grounded, optimistic, and rigorous” with a focus on tackling the hardest challenges at the intersection of quantum and AI.  
- **Growth & opportunity**: Rapidly scaling startup (10% monthly headcount growth) with meaningful equity potential and the chance to shape foundational infrastructure.  
- **Work locations & flexibility**: Offices in San Francisco, CA and Ann Arbor, MI; roles range from fully in‑office to hybrid [builtin.com](https://builtin.com/company/sygaldry).  
- **Team & perks**: Small, high‑caliber team (21 people) with strong alumni from Keysight, NSF, and University of Michigan. Perks not publicly detailed, but competitive for a well‑funded Series A company.  
- **Impact**: Directly contributing to the next generation of AI hardware, with potential breakthroughs in cosmology, materials science, and quantum gravity.

## Sources
1. [sygaldry.com](https://sygaldry.com/)  
2. [Y Combinator – Sygaldry Technologies](https://www.ycombinator.com/companies/sygaldry-technologies)  
3. [LinkedIn – Sygaldry Technologies](https://www.linkedin.com/company/sygaldry-technologies)  
4. [Built In – Sygaldry Careers](https://builtin.com/company/sygaldry)  
5. [Ashby – Sygaldry Jobs](https://jobs.ashbyhq.com/sygaldry-technologies)

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