Top Secret AI Software Engineer - ML/LLM & Data Pipelines

Northrop Grumman; Aurora (CO); On-site; USD 138,000 - 258,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Long Term Incentives

Job summary

Northrop Grumman is seeking an AI Software Engineer (Level 3/4) in Aurora, CO to help develop revolutionary AI systems. The role requires a Top Secret clearance with SCI eligibility and a strong background in ML, LLMs, and Python production-grade software.

You'll work in a dynamic software department, collaborating across ML pipelines, model training, and deployment across secure environments. The position offers relocation assistance, competitive salary ranges, and comprehensive benefits.

Qualifications

• Bachelor’s degree in science and 5+ years of software development for Level 3, or 8+ years for Level 4.
• Active Top Secret clearance with SCI eligibility at time of application.
• Deep expertise in ML fundamentals – supervised, unsupervised, reinforcement learning, and statistical modeling.
• Hands-on experience with LLMs – model configuration, prompt engineering, output validation, and building agentic workflows.
• Strong statistical background – hypothesis testing, experimental design, A/B testing, and data-driven inference.
• Proficient in Python – production-grade code, testing, and refactoring.
• Experience with NumPy, pandas, PyTorch.
• Version control & containerization – Git + Docker.

Skills

Python

ML fundamentals

LLMs

NumPy/Pandas/PyTorch

Git & Docker

Bash/Unix scripting

Data pipelines

Communication

Education

Bachelor's degree in science

Tools

Git

Docker

FastAPI

Flask

gRPC

TorchServe

ONNX Runtime

MLflow/Weights & Biases

PostgreSQL/MySQL

MongoDB/Redis

Job description

Northrop Grumman is seeking an AI Software Engineer (Level 3/4) in Aurora, CO to help develop revolutionary AI systems. The role requires a Top Secret clearance with SCI eligibility and a strong background in ML, LLMs, and Python production-grade software.

You'll work in a dynamic software department, collaborating across ML pipelines, model training, and deployment across secure environments. The position offers relocation assistance, competitive salary ranges, and comprehensive benefits.