Applied Intuition is looking to accelerate the global adoption of safe, AI-driven machines by improving the developer productivity for their autonomy software lifecycle.
Requirements
Deep expertise with CI/CD systems, build tooling, version control, and developer-facing services.
Proficiency with Linux systems and common tools (e.g. Kubernetes, Git, Docker, Artifactory).
Experience with secure systems development, especially in U.S. government or defense environments.
Strong scripting and automation skills (Python or Bash preferred).
Proven expertise in setting up and managing on-premises instances of AWS Services, ML Ops tooling, and automated security monitoring solutions
Responsibilities
Build and maintain high-leverage tools and systems that empower engineering teams to develop and deploy autonomy software with greater speed, reliability, and security.
Design scalable CI/CD workflows that integrate with our autonomy-specific validation stack, including simulation, sensor modeling, and multi-agent testing.
Improve the internal developer experience through robust build systems, reproducible environments, and secure artifact management.
Support hybrid cloud and on-prem infrastructure used for large-scale simulation, ML pipelines, and real-time testing.
Partner with simulation, ML, autonomy, and security teams to deliver tailored infrastructure for their needs—while keeping systems simple, reliable, and maintainable.
Contribute to infrastructure and security compliance for customers operating in defense, classified, or other highly regulated domains.
Other
Bachelor’s degree in Computer Science, Cloud Computing, Cyber-security or a related engineering field
5+ years of experience designing and operating infrastructure for high-performance engineering teams.
U.S. Citizenship and ability to obtain a U.S. Secret security clearance.
CompTIA Security+ certification (or willingness to obtain within 6 months).
Must be willing to travel as required to support projects; estimated average travel is once every other month for between 2-5 days (~20%)