At Northrop Grumman, we have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way.
Northrop Grumman is seeking a Principal AI Software Engineer to support the development, integration, and deployment of advanced AI-enabled software solutions to support our Systems Engineering Integration & Test (SEIT) department. As a member of the SEIT department you’ll work in a fast-paced team environment alongside physicists, design engineers, and superconducting foundry engineers to make our technologies a reality. This position will serve on-site at Spectrum Center, San Diego.
Responsibilities:
· Design, develop, integrate, and sustain AI-enabled software products and supporting systems across cloud and local/on-premises environments.
· Translate mission, customer, and business needs into secure, scalable, and maintainable technical solutions.
· Identify system, workflow, or architecture gaps and independently develop improvements that increase performance, reliability, security, or efficiency.
· Secure and harden full-stack solutions, including infrastructure, platforms, applications, data flows, and development pipelines.
· Evaluate, adapt, and securely leverage open-source technologies to accelerate delivery while maintaining engineering rigor and security standards.
· Experience developing or integrating AI/ML-enabled applications into operational or production environments.
· Experience securing end-to-end systems spanning infrastructure, applications, data, interfaces, and deployment pipelines.
· Working knowledge across adjacent domains such as cyber security, networking, DevOps, systems engineering, or platform engineering.
· Experience evaluating and incorporating open-source frameworks, models, or tooling in a secure and supportable manner.
· Familiarity with modern software delivery practices including CI/CD, containerization, automation, and infrastructure/platform operations.
· Demonstrated ability to influence technical direction, present to senior leadership, and work effectively across organizations.
· Experience mentoring engineers and supporting team technical development.
· Track record of delivering measurable business or mission value through cost savings, productivity improvements, force multiplication, or new capability delivery.
· Work across software, cyber, networking, DevOps, and systems engineering disciplines to implement end-to-end solutions.
· Perform technical trade studies, solution analysis, and architectural assessments to support sound engineering decisions.
· Communicate technical approaches, risks, status, and results to leadership, stakeholders, and cross-organizational teams.
· Incorporate emerging research, tools, and engineering practices into practical solutions where they provide measurable value.
· Mentor other engineers, contribute to technical growth across the team, and help drive execution toward program and business objectives.
Basic Qualifications for Principal AI Software Engineer:
- Bachelor’s degree in Computer Science, Software Engineering or related STEM discipline with 5 years of relevant experience; or 3 years with a Master’s degree; or 1 year with a PhD.
- Current DoD 8570 IAT Level II Certification (Security+) or higher.
- Candidate must be a US Citizen.
- Experience translating technical concepts and program information to others.
- Clearance: A current/active DoD Secret clearance.
- Experience developing or deploying AI/ML-enabled applications for practical or operational use cases.
- Experience leading technical efforts across multiple engineering disciplines and guiding teams through implementation.
- Experience identifying when AI is not the right solution and proposing a better engineering alternative.
Preferred Qualifications for Principal AI Software Engineer:
- Experience developing or integrating AI/ML-enabled applications into operational or production environments.
- Experience securing end-to-end systems spanning infrastructure, applications, data, interfaces, and deployment pipelines.
- Experience assessing AI/ML approaches against data quality, data volume, compute limitations, security requirements, and deployment constraints.
- Working knowledge across adjacent domains such as cyber security, networking, DevOps, systems engineering, or platform engineering.
- Experience evaluating and incorporating open-source frameworks, models, or tooling in a secure and supportable manner.
- Familiarity with modern software delivery practices including CI/CD, containerization, automation, and infrastructure/platform operations.
- Demonstrated ability to influence technical direction, present to senior leadership, and work effectively across organizations.
- Experience mentoring engineers and supporting team technical development.
- Experience with GPU optimization, distributed inference, or deployment in constrained compute environments.
- Integration of AI into larger end-to-end systems.
- Experience integrating AI into secure or regulated environments.
- Track record of delivering measurable business or mission value through cost savings, productivity improvements, force multiplication, or new capability delivery.
Skills Required
- Bachelor's degree in Computer Science, Software Engineering, or a related STEM discipline with 5 years of relevant experience; alternatively, 3 years with a master's degree or 1 year with a PhD
- Current DoD 8570 IAT Level II certification (Security+) or higher
- U.S. citizenship
- Experience translating technical concepts and program information to others
- Current or active DoD Secret clearance
- Experience developing or deploying AI/ML-enabled applications for practical or operational use cases
- Experience leading technical efforts across multiple engineering disciplines and guiding teams through implementation
- Experience identifying when AI is not the right solution and proposing a better engineering alternative
- Experience developing or integrating AI/ML-enabled applications into operational or production environments
- Experience securing end-to-end systems spanning infrastructure, applications, data, interfaces, and deployment pipelines
- Experience assessing AI/ML approaches against data quality, data volume, compute limitations, security requirements, and deployment constraints
- Working knowledge of cybersecurity, networking, DevOps, systems engineering, or platform engineering
- Experience evaluating and incorporating open-source frameworks, models, or tooling securely and supportably
- Familiarity with CI/CD, containerization, automation, and infrastructure or platform operations
- Ability to influence technical direction, present to senior leadership, and work across organizations
- Experience mentoring engineers and supporting team technical development
- Experience with GPU optimization, distributed inference, or deployment in constrained compute environments
- Experience integrating AI into larger end-to-end systems
- Experience integrating AI into secure or regulated environments
- Track record of delivering measurable business or mission value through cost savings, productivity improvements, force multiplication, or new capability delivery
Northrop Grumman Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Northrop Grumman and has not been reviewed or approved by Northrop Grumman.
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Healthcare Strength — Health coverage offers multiple medical plan options by region alongside dental, vision, mental‑health resources, and wellness programs. Recent materials also highlight added family‑building support, including a dedicated fertility benefit.
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Retirement Support — The 401(k) savings plan is positioned as competitive with a company match, auto‑escalation features, and access to an employee stock fund/ESPP. Official filings and benefits guides emphasize retirement as a core element of the Total Rewards package.
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Leave & Time Off Breadth — Many sites offer a 9/80 schedule, generous PTO, paid holidays, and flexible/telework options where program needs allow. Paid parental and caregiver leave are prominently featured, with recent enhancements for the delivering parent.
Northrop Grumman Insights
What We Do
We are a close-knit community of big thinkers collaborating to keep the world safe. Our passion, creativity and expertise bring next-level technology solutions to life in autonomous systems, cyber, C4ISR, strike, space, and logistics and modernization for our customers around the globe. On the Northrop Grumman team, you’ll join our pursuit of excellence immersed in a dynamic culture of innovation and respect. Your unique perspective will help achieve our shared vision for the future of global security. Every step of the way, you'll be supported by world-class training, employee resource groups and a comprehensive benefits package that enables greater health and happiness for you and your family. Worldwide and across disciplines, we’re challenging what’s possible for technology to protect people and places from undersea to outer space and into cyberspace. And we see the impact of our performance every day. We are Northrop Grumman, and we work on what matters—now, you too can make a difference. Explore opportunities in engineering, IT, manufacturing, business management, cybersecurity and more with us. Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer.









