Full-Stack Engineer, Autonomous Systems Platform

Shield

San Diego (CA)

On-site

USD 130,000 - 240,000

Full time

4 days ago
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Job summary

Shield AI seeks a full-stack engineer to shape the future of physical AI by building tools to develop, train, and validate autonomous systems. You will work across TypeScript and React applications, backend services, APIs, and Python data workflows, with focus on extensibility and reuse.

You will own features from user needs and design through implementation, deployment, and support, collaborating with Hivemind Pilot developers and domain experts in diverse environments including Kubernetes

Qualifications

  • Production applications with frontend and backend contributions.
  • Proficiency with TypeScript and React: components, state, API integration.
  • Backend services in Go, Python or equivalent: API design, validation, error handling.
  • Experience with databases, queries, persistence, and schema changes.
  • Reasoning about service interactions: auth, background jobs, failures.
  • Familiarity with containers, CI/CD, and deploying in shared environments.
  • Clear communication and ability to translate ambiguous problems into solutions.

Responsibilities

  • Build features across React interfaces, backend services, APIs, and data storage.
  • Translate complex workflows into intuitive, diagnosable applications.
  • Design and evolve APIs and data models for automation and integration.
  • Contribute to platform/application architecture from requirements to deployment.
  • Support apps across local and Kubernetes environments.

Skills

TypeScript
React
Go
Python
Databases
CI/CD
Kubernetes

Tools

Kubernetes
Helm charts
OpenAPI
JSON Schema

Job description

Shield AI seeks a full-stack engineer to shape the future of physical AI by building tools to develop, train, and validate autonomous systems. You will work across TypeScript and React applications, backend services, APIs, and Python data workflows, with focus on extensibility and reuse.

You will own features from user needs and design through implementation, deployment, and support, collaborating with Hivemind Pilot developers and domain experts in diverse environments including Kubernetes

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