This requisition may be filled at the Level 2 or Level 3 based on requirements listed below.
The Northrop Grumman Aeronautics Sector in Space Park Redondo Beach/El Segundo, CA is seeking a highly motivated AI Software Engineer to join our team. Our AI team is growing and there is an opportunity to work closely with senior AI subject matter experts while simultaneously supporting the business. We are looking for a talented AI Software Engineer who can take small to medium sized projects from concept to production quickly with limited technical guidance. You will build and fine‑tune Retrieval‑Augmented Generation (RAG) pipelines, Agentic AI pipelines, and large language model (LLM) solutions that solve concrete business problems. You will work closely with product owners, data scientists, and senior engineers to ship reliable, scalable AI services. Successful candidates will have demonstrated the ability to build AI solutions to solve customer problems. They will have a track record as an effective communicator and problem solver who is able to develop and maintain good working relationships with internal and external stakeholders. The selected candidates will work closely with AI engineers and business partners to accomplish the following:
Work with customers to define, develop, and deliver AI solutions to meet mission and sector needs.
Design, develop, document, test and debug applications software and systems that contain logical and mathematical solutions.
Collaborate with cross-functional teams to deploy machine learning algorithms for testing and is in production systems.
Maintain understanding of the cutting-edge technologies in AI/ML.
Regularly demonstrate progress to customers.
Rapid Prototyping & Delivery – Turn medium‑priority use‑case specifications into working AI prototypes within 2‑4 weeks and iterate to production quality.
RAG, Agentic AI, and LLM Development – Design and implement retrieval‑augmented generation pipelines and agentic workflows integrating pretrained LLMs (e.g., GPT‑4/5/OSS, Llama) though APIs and self-hosted model deployments.
Model Integration – Embed fine‑tuned models into existing micro‑service architectures (REST/GraphQL, gRPC) and expose them via APIs or internal SDKs.
Performance & Reliability – Set up monitoring, logging, and automated testing (unit, integration, latency) for AI services; troubleshoot model drift and latency issues.
Data Preparation – Collaborate with data engineers to curate, clean, and annotate domain‑specific datasets for fine‑tuning and evaluation.
Documentation & Knowledge Sharing – Write clear technical documentation, create example notebooks, and mentor junior teammates on AI best practices.
Continuous Improvement – Stay current with the latest LLM research, open‑source tools, and industry trends; propose upgrades to the AI stack.
Basic Qualifications:
For level 2 consideration: Bachelor's degree in Computer Science or related STEM field and 2 years of relevant experience or Master's degree in Computer Science or related STEM field with relevant entry level experience
For Level 3 consideration: Bachelor's degree in Computer Science or related STEM degree and 5 years with Master's degree in Computer Science or related STEM field and 3 years of relevant experience
Entry level professional AI/software engineering experience; demonstrated ability to ship production-grade code
Ability to obtain and maintain final US Government Secret Clearance
Must have ability to obtain and maintain Program Access (PAR) within a reasonable period of time, as determined by the company to meet its business needs
Strong problem‑solving skills and ability to work independently on moderately scoped projects.
Demonstrated ability to carry out rapid prototyping and proof-of-concept demonstrations using novel AI methods to solve real-world challenges.
Ability to effectively communicate system properties and results to technical staff as well as non-technical management and leadership stakeholders.
Proficiency in Python (including libraries such as PyTorch, Hugging Face Transformers, LangChain, LangGraph).
Familiarity with RAG and agentic AI concepts: vector stores (e.g., Pinecone, FAISS, Milvus), embeddings, similarity search, prompt engineering, function calling or tool use, structured outputs
Experience developing AI solutions using LLMs, Agentic AI, MLOps pipelines, Cloud services, ETL, evaluation of AI solution, services, containers and container orchestration
Hands‑on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Understanding of software engineering best practices: version control (Git), CI/CD pipelines, automated testing, code reviews.
Preferred Qualifications:
Active and final US Government Secret Clearance
Ability to obtain and maintain a U.S. Government Top Secret security clearance (U.S. citizenship is a pre-requisite)
Experience working with DoD/DoW customer
Experience building and training large neural networks on custom datasets
Strong understanding of neural network fundamentals, including model architectures, loss functions, optimization, regularization, and evaluation methodologies
Experience with supervised learning, unsupervised learning, reinforcement learning, and statistical modeling
Experience with deep learning frameworks (PyTorch, TensorFlow, JAX)
Experience working in Agile software development environment
Experience with leading teams and actively participating in the development of winning white papers and proposals for DoD customers
Familiarity with explainable AI, adversarial AI, responsible AI (NIST AI Risk Framework)
Familiarity with signal processing, information theory, topological data analysis, and/or genetic algorithms.
Skills Required
- Bachelor's degree in Computer Science or related STEM field with 2 years relevant experience (Level 2) or Bachelor's with 5 years (Level 3) or Master's with relevant years as listed
- Entry level professional AI/software engineering experience with demonstrated ability to ship production-grade code
- Ability to obtain and maintain final US Government Secret Clearance
- Ability to obtain and maintain Program Access (PAR) within a reasonable period
- Proficiency in Python (including PyTorch, Hugging Face Transformers, LangChain, LangGraph)
- Familiarity with RAG and agentic AI concepts, vector stores (Pinecone, FAISS, Milvus), embeddings, similarity search, prompt engineering, and function/tool use
- Experience developing AI solutions using LLMs, Agentic AI, MLOps pipelines, ETL, evaluation of AI solutions, containers and container orchestration
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
- Understanding of software engineering best practices: version control (Git), CI/CD pipelines, automated testing, code reviews
- Strong problem-solving skills and ability to work independently on moderately scoped projects
- Ability to effectively communicate technical results to technical and non-technical stakeholders
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.
-
Retirement Support — 401(k) matching is considered strong, with additional defined-benefit coverage for certain cohorts and options like catch-up contributions. Retirement programs are repeatedly highlighted as a core strength of the total rewards.
-
Leave & Time Off Breadth — PTO, company-paid holidays, and compressed work schedules (such as 9/80) provide meaningful time away and flexibility. These scheduling options are cited as a major quality-of-life benefit across many locations.
-
Parental & Family Support — Paid parental leave alongside caregiver leave, adoption assistance, and back-up care supports a range of family needs. These programs have been expanded recently, signaling continued investment in family support.
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.







