Builds and scales a full-stack video collection platform with mobile features for user submissions, internal tools, and high-reliability systems. Requires strong TypeScript/React frontend, React Native mobile, Python/Go backend experience, and high ownership in a fast-paced startup.
150k – 300k/yr
On-siteFullstack Engineering
About the role
What You’ll Do
Build and scale a production product used by contributors, partners, and internal teams.
Ship full stack features across frontend, backend APIs, and underlying systems.
Ship mobile features that enable easy video capture and submission.
Improve reliability, performance, and developer velocity across the platform.
Build internal tools and workflows that make operations, QA, and delivery fast and consistent.
Work closely with customers and operators to translate needs into product and ship iteratively.
Requirements
Strong full stack engineer who can take projects from idea to production.
Strong TypeScript + modern frontend experience (React/Next.js preferred).
Mobile experience in React Native, especially for media capture or upload flows.
Backend experience in Python or Go, with solid API and database fundamentals.
Comfort working across product and systems concerns (reliability, performance, observability).
Clear communicator who works well with cross-functional stakeholders.
High ownership and urgency, including willingness to work late nights and weekends when needed.
In-person at our SF HQ.
Bonus
Experience as an early hire at a startup.
History of shipping high-quality products with real users.
Experience building simple tooling, including minimal internal APIs and Svelte dashboards.
Active GitHub or portfolio projects.
Benefits
401k + Full Health Insurance.
Breakfast, Lunch, and Dinner covered and your choice of snacks.
Build and ship a live deployment knowledge graph and agentic software systems that automate AI supercomputer site bring-up, contractor workflows, QA inspections, and as-builts. Forward-deploy alongside field engineers on live construction sites to turn their domain expertise into structured, queryable data models and autonomous planning tools. Requires production experience with Go/Python/TypeScript, LLM APIs, and agentic coding tools.
150k – 275k/yr
On-siteFullstack Engineering
Product Engineer, Commissioning
FluidstackSan Francisco, CA
Build software systems to automate commissioning of AI data center infrastructure. Generate test procedures, schedules, and automated L4/L5 execution from a live knowledge graph; integrate with BMS/EPMS and ship agentic LLM tools to commissioning engineers on factory floors and live sites. Requires production coding in Go/Python/TS, LLM/agent frameworks, and field credibility with controls experts.
150k – 275k/yr
On-site5+ YOEFullstack Engineering
Product Engineer, Manufacturing
FluidstackSan Francisco, CA
Build and ship production software that automates quality control, factory scheduling, integrator scoring, and corrective actions for AI supercomputer manufacturing. Embed with domain experts on factory floors to turn their judgment into self-improving graph-based systems; requires production coding in Go/Python/TS, LLM/agent experience, and strong product taste for industrial workflows.
150k – 275k/yr
On-siteFullstack Engineering
Full-Stack Software Engineer
FluidstackSan Francisco, CA +3
Full-Stack Software Engineer building AI-integrated infrastructure for rapid AI compute capacity at Fluidstack. Own features end-to-end across supply chain automation, capacity forecasting, internal AI agents, operational tooling, and datacenter design/validation. Requires 5+ years production experience, deep LLM/agent expertise, and extreme ownership.
150k – 350k/yr
On-site5+ YOEFullstack Engineering
Software Engineer, Product
FluidstackSan Francisco, CA +3
Build and own features across Fluidstack's AI-integrated software stack for supply chain automation, capacity forecasting, internal AI infrastructure, operational automation, and datacenter design/validation. Requires 5+ years shipping production code (Go/Python/TypeScript), deep LLM/agentic experience, high autonomy, and strong product taste.