Staff Full-Stack Engineer AI Autonomy & Simulation

F7d8749a; San Diego (CA); On-site; USD 130,000 - 190,000; Full time

Job summary

Shield AI is seeking a full-stack engineer to shape the future of physical AI. You will work across TypeScript, React, backend services, APIs, and Python data workflows, building Forge capabilities for simulation, data generation, and evaluation.

You will own features from user needs through deployment, with a focus on extensibility and reliable, reusable components. You will collaborate with Hivemind teams and domain experts to translate complex workflows into practical tools, test rigorously,

Qualifications

• Production-grade frontend and backend delivery experience.
• Proficiency in TypeScript and React with API integration.
• Experience building backend services in Go or Python.
• Knowledge of databases, data models, and persistence.
• Understanding of containers, CI/CD, and debugging in shared environments.
• Strong communication and stakeholder collaboration.

Responsibilities

• Build features across React interfaces, backend services, and data storage.
• Translate complex workflows into intuitive applications.
• Design and evolve APIs and data models for automation.
• Contribute to platform architecture through requirements.
• Develop for multiple environments from local to air-gapped Kubernetes.
• Test and support, using logs and metrics to improve reliability.
• Collaborate with users, product, design, and engineering to scope work.

Skills

TypeScript & React

Go or Python backend

API design

Databases & data models

Containers & CI/CD

Team collaboration

Tools

Kubernetes

Helm charts

OpenAPI/JSON Schema

Job description

Shield AI is seeking a full-stack engineer to shape the future of physical AI. You will work across TypeScript, React, backend services, APIs, and Python data workflows, building Forge capabilities for simulation, data generation, and evaluation.

You will own features from user needs through deployment, with a focus on extensibility and reliable, reusable components. You will collaborate with Hivemind teams and domain experts to translate complex workflows into practical tools, test rigorously,