Applied AI Engineer, Product & GTM
San Francisco, CA (On-site)
Posted 2 months ago
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Job Description
San Francisco
Employment Type
Full time
Location Type
On-site
Department
Product & GTM
Compensation
- $200K – $240K
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.
About The Role
Our teams work closely together, research scientists developing quantum algorithms, systems engineers building the product, and a GTM team engaging frontier labs and industry partners. This role is the technical thread that runs through all of them. You'll work with the AI & Algorithms team to understand what the research produces, with the product and systems teams to shape simulation requirements and architecture decisions, and with the GTM team to turn technical results into materials that drive partnerships. You write real code, working inside simulation codebases, building automated analysis pipelines, and producing the technical outputs that external audiences see. You'll use agentic AI tools extensively to move fast, but you need the coding fundamentals to work directly with complex simulation infrastructure.
What You’ll Work On
Simulation & Analysis Pipelines
- Work directly with datacenter simulation frameworks: extract results, build post-processing pipelines, generate formatted outputs
- Build automated pipelines that transform analytical projections into charts, tables, and slide-ready assets
- Maintain authoritative projection datasets for quantum advantage across frontier AI model architectures
- Write tools that make simulation results reproducible and auditable
- Work with Quantum Algorithm experts to translate quantum resource analysis into inputs for classical simulation pipelines
- Produce performance charts, architecture diagrams, and comparison tables from simulation and analysis data
- Support white paper production with technical content, figures, and data validation
- Build and maintain dashboards tracking performance projections and simulation milestones
- Work with the systems engineering team to translate simulation results into product requirements and architecture decisions
- Produce materials for partner meetings and conference presentations
- Support demo prototypes that showcase simulation and product capabilities
- Coordinate across the AI team, product team, and GTM team to ensure technical outputs are timely and accurate
- Write code daily -- pipelines, scripts, and tools, not just slide decks
- Translate complexity into clarity without losing accuracy
- Are quantitatively comfortable -- these are physics and math-heavy projections, not marketing copy
- Use AI tools aggressively but know their limits
- Move fast - partner meetings, conferences, and white paper deadlines don't wait
- Are curious about the underlying systems -- you want to understand how the simulation works, not just its outputs
- Solid Python programming (this is an engineering role, not an analyst role)
- Experience with simulation frameworks, benchmarking infrastructure, or performance analysis tools (ASTRA-sim, gem5, or similar)
- Data pipeline construction (ETL, automation, post-processing workflows)
- Data analysis and visualization (plotly, matplotlib, pandas)
- Interactive notebook experience (marimo, Jupyter) for analysis and presentation
- Technical writing ability (white papers, technical summaries)
- ML/AI domain knowledge (training, inference, model architectures, distributed systems)
- Experience producing technical materials for enterprise partnerships or investor relations
- Background in solutions engineering, technical program management, or applied systems engineering
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 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
Compensation Range: $200K - $240K
What You’ll Work On
Simulation & Analysis Pipelines
- Work directly with datacenter simulation frameworks: extract results, build post-processing pipelines, generate formatted outputs
- Build automated pipelines that transform analytical projections into charts, tables, and slide-ready assets
- Maintain authoritative projection datasets for quantum advantage across frontier AI model architectures
- Write tools that make simulation results reproducible and auditable
- Work with Quantum Algorithm experts to translate quantum resource analysis into inputs for classical simulation pipelines
- Produce performance charts, architecture diagrams, and comparison tables from simulation and analysis data
- Support white paper production with technical content, figures, and data validation
- Build and maintain dashboards tracking performance projections and simulation milestones
- Work with the systems engineering team to translate simulation results into product requirements and architecture decisions
- Produce materials for partner meetings and conference presentations
- Support demo prototypes that showcase simulation and product capabilities
- Coordinate across the AI team, product team, and GTM team to ensure technical outputs are timely and accurate
- Write code daily -- pipelines, scripts, and tools, not just slide decks
- Translate complexity into clarity without losing accuracy
- Are quantitatively comfortable -- these are physics and math-heavy projections, not marketing copy
- Use AI tools aggressively but know their limits
- Move fast - partner meetings, conferences, and white paper deadlines don't wait
- Are curious about the underlying systems -- you want to understand how the simulation works, not just its outputs
- Solid Python programming (this is an engineering role, not an analyst role)
- Experience with simulation frameworks, benchmarking infrastructure, or performance analysis tools (ASTRA-sim, gem5, or similar)
- Data pipeline construction (ETL, automation, post-processing workflows)
- Data analysis and visualization (plotly, matplotlib, pandas)
- Interactive notebook experience (marimo, Jupyter) for analysis and presentation
- Technical writing ability (white papers, technical summaries)
- ML/AI domain knowledge (training, inference, model architectures, distributed systems)
- Experience producing technical materials for enterprise partnerships or investor relations
- Background in solutions engineering, technical program management, or applied systems engineering
- 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 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
Compensation Range: $200K - $240K
What You’ll Work On
Simulation & Analysis Pipelines
- Work directly with datacenter simulation frameworks: extract results, build post-processing pipelines, generate formatted outputs
- Build automated pipelines that transform analytical projections into charts, tables, and slide-ready assets
- Maintain authoritative projection datasets for quantum advantage across frontier AI model architectures
- Write tools that make simulation results reproducible and auditable
- Work with Quantum Algorithm experts to translate quantum resource analysis into inputs for classical simulation pipelines
- Produce performance charts, architecture diagrams, and comparison tables from simulation and analysis data
- Support white paper production with technical content, figures, and data validation
- Build and maintain dashboards tracking performance projections and simulation milestones
- Work with the systems engineering team to translate simulation results into product requirements and architecture decisions
- Produce materials for partner meetings and conference presentations
- Support demo prototypes that showcase simulation and product capabilities
- Coordinate across the AI team, product team, and GTM team to ensure technical outputs are timely and accurate
- Write code daily -- pipelines, scripts, and tools, not just slide decks
- Translate complexity into clarity without losing accuracy
- Are quantitatively comfortable -- these are physics and math-heavy projections, not marketing copy
- Use AI tools aggressively but know their limits
- Move fast - partner meetings, conferences, and white paper deadlines don't wait
- Are curious about the underlying systems -- you want to understand how the simulation works, not just its outputs
- Solid Python programming (this is an engineering role, not an analyst role)
- Experience with simulation frameworks, benchmarking infrastructure, or performance analysis tools (ASTRA-sim, gem5, or similar)
- Data pipeline construction (ETL, automation, post-processing workflows)
- Data analysis and visualization (plotly, matplotlib, pandas)
- Interactive notebook experience (marimo, Jupyter) for analysis and presentation
- Technical writing ability (white papers, technical summaries)
- ML/AI domain knowledge (training, inference, model architectures, distributed systems)
- Experience producing technical materials for enterprise partnerships or investor relations
- Background in solutions engineering, technical program management, or applied systems engineering
- 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 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
Compensation Range: $200K - $240K
We set the standard in seed stage venture capital, backing founders with grit, audacity, and a spark of rebellion. We test for obsession and intellectual honesty and make it clear we mirror that mentality. We're excited by what could be, resilient in the face of challenge, ambitious, empathetic, and collaborative. Our team is built for what you need now, guiding you and helping develop your skills in every facet of your business, but most crucially, what you need at seed: building your company and team, refining your story, reaching product market fit, and raising your next round.Initialized invests across all sectors and is an early backer of companies like Coinbase, Instacart, Rippling, Flexport, and Flock Safety. With $3B+ in assets under management, our portfolio includes 175+ companies worth close to $200B in company valuations, with 28+ valued at $1B or more.
