Apiphany

Apiphany

Full Stack Engineers

San Francisco

Sponsorship not specified$136k-$160kDetected 231 days ago
TypeScriptPythonReactNode.jsDistributed SystemsBackend DevelopmentFull-Stack DevelopmentDatabricksAWSGCPAzureMachine LearningTensorFlowPyTorchData EngineeringProcess ImprovementSCADA

About the role

  • Ship in real-world production environments:
  • Iterate quickly in a high-uncertainty domain:

Responsibilities

  • Our models understand physics principles, design specifications, and program constraints.
  • We're passionate about transforming hard-tech and building a category-defining company together.
  • Build full-stack solutions that integrate real-time AI (Artificial Intelligence) models for predictive maintenance, anomaly detection, defect classification, and process optimization.
  • Design and implement robust, distributed systems that handle large-scale data pipelines, streaming industrial sensor data, and real-time AI inference.
  • Develop intuitive, high-performance interfaces that allow operators, engineers, and managers to interpret AI-driven insights and take action.
  • Build and optimize front-end applications (React, TypeScript, etc.) and backend services (Python, Node.js, or similar), ensuring seamless end-to-end experiences.
  • Develop AI-powered manufacturing applications:

Requirements

  • Bachelor's degree in computer science, information technology, software engineering, or a related field.

Skills

  • Deploy software that runs in factories, on edge devices, or in the cloud, working within the constraints of industrial infrastructure.

Compensation

  • $136,000 - $160,000/year

Company info

  • Backed by world-class investors from Markforged, Databricks, GM, and Character, our mission is to revolutionize how engineering decisions are made, turning complexity into clarity for the world's top manufacturers.
  • We're a small, elite team of builders from Stanford, Berkeley, MIT, UW, and CMU, alongside industry leaders from GM, Ford, and Genesis Therapeutics.

This listing is sourced directly from Apiphany's careers page and normalized into a canonical job model.