About our organization: As an engineer, you'll be joining our growing Aurora Software department which has 200+ Software Engineer, DevOps Engineer, Systems Administrator, Database Administrator, and Network Engineer peers from entry-level to the most senior chief engineers and architects. We have plenty of opportunities for career advancement into higher level technical roles or leadership positions. Our Software Department is part of a larger organization that includes Systems Engineering, Integration, and Test staff as well as a Hardware Engineering unit. This larger organization influences cross-program collaboration, professional development and training, as well as engagement and inclusion activities such as lunch-n-learns, campus events, and leadership mixers.
We support a small but mighty team that continues to innovate and set new benchmarks for our customers. If this sounds like an opportunity for you, Northrop Grumman Space Systems Sector would love to have you join our team as a Level 3 or 4 A.I. Software Engineer based out of Aurora, CO.
Basic Qualifications:
Level 3: Bachelor’s degree in science with 5+ years of software development experience; 3+ years with a Master's; or 4 additional years of experience in lieu of a degree.
Level 4: Bachelor’s degree in science with 8+ years of software development experience; 6+ years with a Master's; or 4 additional years of experience in lieu of a degree.
Must have an 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 the scientific Python stack – NumPy, pandas, PyTorch.
Version control & containerization – Git (branching, PR workflow) + Docker (or OCI‑compatible containers).
Linux‑based development – strong Bash/Unix scripting skills.
End‑to‑end problem‑solving – troubleshoot and optimize data pipelines, model training, and serving.
Self‑starter attitude – takes ownership and drives projects forward.
Preferred Qualifications:
Data engineering & cleaning – robust pipelines for noisy, imbalanced, or sparse real‑world datasets; experience with feature stores.
Database expertise – SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) systems.
MLOps & productionization – CI/CD for ML (GitHub Actions, GitLab CI), experiment tracking (MLflow, Weights & Biases), model registry, automated testing, and monitoring/drift detection.
Model serving & APIs – FastAPI, Flask, gRPC, TorchServe, ONNX Runtime
Security & compliance awareness – data‑privacy regulations and secure model deployment practices.
Software engineering rigor – test‑driven development, code reviews, static analysis, design patterns, documentation.
Agile teamwork – Scrum/Kanban, cross‑functional collaboration, mentoring junior engineers.
MATLAB – for legacy code or signal‑processing tasks.
Fast‑paced, results‑driven environment – comfortable with shifting priorities and tight timelines.
Outstanding communication – clearly articulate technical concepts to both technical and non‑technical stakeholders; produce thorough documentation.
Knowledge of bias mitigation, fairness metrics, and responsible AI practices.
Skills Required
- Bachelor's degree in science with relevant years of experience (Level 3: 5+ years; Level 4: 8+ years) or equivalent experience
- Active Top Secret clearance with SCI eligibility at time of application
- Deep expertise in ML fundamentals (supervised, unsupervised, reinforcement learning, statistical modeling)
- Hands-on experience with LLMs (model configuration, prompt engineering, output validation, agentic workflows)
- Strong statistical background (hypothesis testing, experimental design, A/B testing)
- Proficient in Python with production-grade coding, testing, and refactoring skills
- Experience with scientific Python stack (NumPy, pandas, PyTorch)
- Version control (Git) and containerization (Docker or OCI-compatible containers) experience
- Linux-based development experience and strong Bash/Unix scripting skills
- End-to-end problem solving: troubleshooting and optimizing data pipelines, model training, and serving
- Self-starter attitude and ability to take ownership of projects
- Data engineering and cleaning for noisy/imbalanced/sparse datasets, feature store experience
- Database expertise: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) systems
- MLOps & productionization: CI/CD for ML (GitHub Actions, GitLab CI), experiment tracking (MLflow, Weights & Biases), model registry, automated testing, monitoring/drift detection
- Model serving & APIs: FastAPI, Flask, gRPC, TorchServe, ONNX Runtime
- Security and compliance awareness for data privacy and secure model deployment
- Software engineering rigor: TDD, code reviews, static analysis, design patterns, documentation
- Agile teamwork experience (Scrum/Kanban) and mentoring junior engineers
- MATLAB for legacy or signal-processing tasks
- Knowledge of bias mitigation, fairness metrics, and responsible AI practices
- Outstanding communication skills for 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.
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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.
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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.
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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.
