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Field AI

Robot type
Robot AI and Software
Location
IrvineCaliforniaUSA
Job type
IT
Posted
Aug 27, 2026
Full-time

Software Engineer, Infrastructure and Tools

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence.

Job responsibilities

  • Design, build, and maintain core infrastructure components such as CI/CD pipelines, build systems, monitoring tools, and deployment frameworks.
  • Develop and implement scalable solutions for service reliability, observability, and performance.
  • Collaborate with development teams to optimize infrastructure for high availability and fault tolerance.
  • Automate infrastructure provisioning and management using tools like Ansible or similar.
  • Improve system efficiency by automating recurring tasks and eliminating manual processes.
  • Monitor system performance, troubleshoot issues, and ensure optimal uptime and security.
  • Maintain and enforce best practices in system design, security, and code quality.

Job requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).
  • 3+ years of experience in software engineering, DevOps, or infrastructure roles.
  • Strong programming/scripting skills in languages such as Python, TypeScript, or similar.
  • Experience with cloud platforms (AWS, GCP, Azure) and container orchestration.
  • Familiarity with infrastructure-as-code tools (AWS CDK, etc.).
  • Knowledge of monitoring and logging systems (e.g., Prometheus, Grafana, Sentry).
  • Solid understanding of networking, Linux systems, and security best practices.
  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.
  • Familiarity with robotics systems or infrastructure to support robotic applications (e.g., ROS, real-time systems, sensor integration).
  • Exposure to distributed systems and microservices architectures.
  • Background in site reliability engineering (SRE) practices.

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