--- title: 'AI Systems Performance Architect at Sygaldry Technologies' canonical: 'https://feeny.ai/job/ai-systems-performance-architect-sygaldry-technologies-san-francisco-hfc0fjdf5vc7' type: 'job' last_seen: '2026-11-05' --- # AI Systems Performance Architect at Sygaldry Technologies - **Company:** Sygaldry Technologies - **Location:** San Francisco, CA - **Compensation:** $175k–$235k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-08-31 - **Last confirmed live:** 2026-11-05 - **Apply:** https://jobs.ashbyhq.com/sygaldry-technologies/5ada4013-8792-463e-b490-1d1e21e8d84b ## 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 super intelligence, 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: - Develop performance models and simulators for large-scale distributed ML systems and emerging AI acceleration platforms. - Model end-to-end training and inference performance across compute, memory, networking, and communication. - Analyze workload parallelism, collective communication, scheduling, and data movement to identify system-level bottlenecks. - Explore system architectures and hardware/software tradeoffs to improve performance, scalability, and efficiency. - Build simulation frameworks for rapid design-space exploration across distributed GPU and next-generation accelerator systems. - Collaborate with ML researchers, compiler engineers, and system architects to guide next-generation AI system design. You May Be a Fit if You Have: - PhD in Computer Engineering or Electrical Engineering with 2-5 years relevant work experience - A strong research track record, including publications at top-tier venues such as ISCA, MICRO, ASPLOS, MLSys, SOSP, VLDB, OSDI, or other leading systems conferences. - Strong foundations in ML systems, distributed computing, and performance modeling. - Experience with large-scale ML training or inference systems and distributed execution frameworks. - Understanding of model parallelism, data parallelism, collective communication, and distributed scheduling. - Experience building simulators, analytical performance models, or system-level benchmarking tools. - Familiarity with GPU clusters, high-performance networking, and AI accelerator systems. - Ability to reason from first principles, identify bottlenecks, and independently tackle open-ended research problems. - Passion for rethinking how next-generation AI systems are designed and scaled. ## 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 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 ## 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) ## Other roles at Sygaldry Technologies - [Nanophotonics Fabrication Engineer](https://feeny.ai/job/nanophotonics-fabrication-engineer-sygaldry-technologies-ann-arbor-zaj6aewcwytn) — Ann Arbor, MI - [Office Manager & Executive Assistant](https://feeny.ai/job/office-manager-executive-assistant-sygaldry-technologies-ann-arbor-skxrp4fzfxnw) — Ann Arbor, MI - [Internship/Research Engineer](https://feeny.ai/job/internship-research-engineer-sygaldry-technologies-ann-arbor-r0h471rxjqre) — Ann Arbor, MI - [Quantum-AI Postdoctoral Fellow](https://feeny.ai/job/quantum-ai-postdoctoral-fellow-sygaldry-technologies-san-francisco-9p7ycqjahsaz) — San Francisco, CA - [Controller](https://feeny.ai/job/controller-sygaldry-technologies-ann-arbor-fwb2pjgb2w1p) — Ann Arbor, MI - [Quantum Architecture and Device Theorist](https://feeny.ai/job/quantum-architecture-and-device-theorist-sygaldry-technologies-ann-arbor-y4chy6ac6dd7) — Ann Arbor, MI - [Quantum Architecture and Device Theorist](https://feeny.ai/job/quantum-architecture-and-device-theorist-sygaldry-technologies-copenhagen-vte1f18hx0py) — Copenhagen, Denmark - [Quantum Error Correction Theorist](https://feeny.ai/job/quantum-error-correction-theorist-sygaldry-technologies-copenhagen-8wvc6m27q1v9) — Copenhagen, Denmark - [Office Manager/Executive Assistant](https://feeny.ai/job/office-manager-executive-assistant-sygaldry-technologies-san-francisco-zpwwxg4ezdmx) — San Francisco, CA - [Applied AI Scientist (Senior/Principal)](https://feeny.ai/job/applied-ai-scientist-senior-principal-sygaldry-technologies-san-francisco-7vnkat6hhjnn) — San Francisco, CA