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Engineering Talent Pool

PrimerSan Francisco, California

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Job Description

About Primer

Fixing our K-12 education system is a civilizationally-important problem. We believe that all of our problems — including the ones that dominate the headlines — are downstream of education.

We have a simple thesis on how to solve it: empower 1,000's of educators to launch microschools in their communities.

We believe the historical tradeoff between price (tuition) and quality is a false dichotomy.

PrimerOS automates and eliminates much of the costs of traditional schools. Microschools have a structural advantage — asset-light real estate — which means much lower capex and opex. You put it together, and you get something that's never existed before: a world-class education that's accessible to normal American families and can rapidly scale.

Don’t see the right role for you?

We’re always looking to meet exceptional people. Primer is an end-to-end engineering organization building the operating system for real schools. Our work spans several technical disciplines. A non-exhaustive sample:

  • Distributed Systems & Data InfrastructureHigh-throughput GraphQL services, low-latency event pipelines, schema design for real-time classroom operations, transactional integrity across multi-tenant school networks.

  • Client Systems & Interaction EngineeringComplex TypeScript/React architectures, high-frequency UI state updates, deterministic rendering under poor network conditions, resilient offline behavior, design-system engineering for high-context educational workflows.

  • Networking, Infrastructure & ReliabilityFull Dockerized service graph, CI/CD pipelines that ship daily into dozens of live campuses, observability at scale, automated failover, network shaping for unreliable school WiFi, performance engineering across heterogeneous hardware.

  • Realtime Media & Classroom PresenceWebRTC transports, adaptive bitrate + packet recovery strategies, custom SFU optimizations for classrooms, audio/video error correction, telemetry-driven session stability, and real-time presence models for synchronous instruction.

  • Learning Systems, Data Science & MLEnd-to-end ETL, feature engineering from student behavior signals, reading/math proficiency modeling, personalization engines, automated teacher/parent narrative generation, and continuous feedback loops driven by real learner data.

We’re moving extremely fast and the surface area keeps growing.If you think you can push the boundaries of what software can do for real schools, let’s talk.

If this sounds like you, please apply!

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.

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