Senior Software Engineer, Applied Intuition

• 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
• 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)
• Enthusiasm to learn and evangelize the latest AI-based engineering productivity tools
• Willingness to obtain a CompTIA Security+ certification within 6 months of job start (or have it already)
• Must be willing to travel as required to support projects; estimated average travel is once every other month for between 2-5 days (~5-10%)
• Must be a U.S. Citizen
• Must be eligible for a U.S. Secret security clearance (or hold one already)

Desirable

• We expect that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly.
• This is a rare opportunity to be the founding member of Developer Productivity Team
• Leading developer productivity for defense, you will own the design and evolution of the systems that support our autonomy software lifecycle—from code commit to deployment
• You will accelerate secure software development by building developer tooling, CI/CD pipelines, and testing frameworks that maintain high velocity while ensuring compliance with government security protocols, clearance requirements, and air-gapped network constraints
• Your work will directly affect the pace, safety, and reliability of autonomy development at Applied
• You'll 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