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Job Description

Software Automation Engineer role supporting AI/ML-enabled workflows in Northrop Grumman’s Space Sector.

Responsibilities

  • Design, develop, document, test, and debug application software and systems
  • Automate workflows and processes by building and maintaining CI/CD pipelines and AI applications in a DevOps environment
  • Develop and maintain containerized applications to support portability, scalability, and reliability
  • Support infrastructure by troubleshooting issues, optimizing performance, and maintaining high availability
  • Maintain strong written and verbal communication practices
  • Perform other duties as assigned

Requirements

  • Education and experience match one of the following:
    • PhD with 1 year of professional experience
    • Bachelor’s or Master’s with specified professional experience (Master’s: 3 years; Bachelor’s: 5 years)
    • Will consider 4+ additional years of experience in lieu of degree
  • Ability to obtain and maintain a U.S. Government DoD Secret security clearance
  • Hands-on experience working in Linux, including scripting and system configuration
  • Proficiency in Python or GOLang, with strong skills in software development, debugging, and testing
  • Experience with GitLab CI/CD, version control systems, and automated pipelines for application deployment
  • Demonstrated experience developing and deploying AI and/or Machine Learning (ML) solutions
  • Familiarity with APIs and integrating models into applications or agentic frameworks such as Mastra or LangChain
  • Strong understanding of Large Language Models (LLMs), including fine-tuning, hosting, and inference optimization
  • Experience developing and hosting AI/ML models in cloud-based environments (AWS, Azure, or GCP) or on-premise containerized infrastructure
  • Familiarity with vector databases and retrieval-augment

Technologies

  • C++, Python, GOLang
  • Linux
  • GitLab CI/CD, CI/CD pipelines
  • Docker
  • Mastra, LangChain
  • APIs
  • Large Language Models (LLMs), AI, Machine Learning (ML)
  • Vector databases, retrieval-augment
  • AWS, Azure, GCP

Work Schedule and Location

  • Location: Chandler, AZ
  • Work style: 100% onsite (telecommute not available)
  • Schedule: 9/80 schedule with every other Friday off
  • Travel: Yes (10% of the time)

Security and Contingencies

  • Clearance type: None required for start
  • Clearance required for start: No
  • Contingent upon obtaining final clearances and program access(es) within a reasonable period of time as determined by the company

Level, Salary, and Application Timing

  • Primary level salary range: $79,300 - $118,900 (USD)
  • Secondary level salary range: $98,400 - $123,000 (USD)
  • Application period: estimated 20 days from the job posting date

Benefits

  • Health insurance coverage
  • Life and disability insurance
  • Savings plan
  • Company paid holidays
  • Paid time off (PTO) for vacation and/or personal business
  • Depending on the position: potential eligibility for overtime, shift differential, and a discretionary bonus in addition to base pay
  • Annual bonuses designed to reward individual contributions and share in company results
  • Vice President or Director positions may be eligible for Long Term Incentives

Relocation

  • No relocation assistance available

Preferred Qualifications

  • Active DoD Secret Security Clearance or higher

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