Full-Stack Engineer
Required skills
- TypeScript
- React
- Python
- Node.js
- SQL
- backend
- infrastructure
- database design
- cloud storage
- queues
Nice to have
- large video datasets
- large audio datasets
- vector search
- GPU workloads
- mobile apps
- infrastructure automation
Role summary
Nori Robotics, a YC S26 startup building affordable humanoid robots, seeks a Full-Stack Engineer to own customer-facing applications, backend services, and cloud infrastructure. The role involves building consumer and research applications from interface to API, managing databases, storage, access controls, and job queues, and integrating data processing and model serving workflows. Responsibilities include release management, testing, monitoring, incident recovery, performance, security, and cost optimization. Requires strong TypeScript, React, Python/Node.js, SQL, and sound judgment in backend and infrastructure design, cloud storage, queues, access controls, and production reliability.
Scope: Own the applications, backend services, and cloud infrastructure used by customers, contributors, and researchers. Build the product workflows and platform that collect, store, secure, and expose data, working with the multimodal engineer on dataset-processing integrations.
What you will work on
• Build consumer and research applications from interfaces to APIs, including accounts, consent, media capture, uploads, review, and search.
• Own databases, object storage, access controls, job queues, and services that support the data and model teams.
• Integrate dataset-processing and model-serving services into complete product workflows, including error handling and recovery.
• Own releases, tests, monitoring, incident recovery, performance, security, and cost as products grow.
Requirements
• Experience shipping and operating production applications, with strong TypeScript and React, Python or Node.js, and SQL.
• Sound backend and infrastructure judgment across database design, cloud storage, queues, access controls, and production reliability.
• Nice to have: large video or audio datasets, vector search, GPU workloads, mobile apps, or infrastructure automation.
San Francisco, CA. Full time. In person.
Compensation. Base pay: $100,000-$150,000 per year. Base pay varies with job-related knowledge, skills, and experience.
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