> Markdown version of [/jobs/ext/3927897-ai-software-engineer-level-2-morrisville](https://www.wearedevelopers.com/jobs/ext/3927897-ai-software-engineer-level-2-morrisville). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Software Engineer - Level 2 - Morrisville - **Company:** Northrop Grumman - **Location:** Morrisville, NC, United States (Remote available) - **Experience:** Experienced - **Salary:** $106,000.0 - $159,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Artificial Neural Networks, Data Reduction, Linux, R (Programming Language), Python (Programming Language), Linear Programming, MATLAB, Machine Learning, Signal Processing, Reinforcement Learning, Random Forest, Gpu Programming, Git, Kubernetes, Information Technology, Deployment Automation, X-midas, Software Version Control, Docker, Programming Languages - **Published:** October 26, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3468419046&tx=UT545TYI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * AI Software Engineer : Bachelor's degree in Computer Science or other STEM-related degree with 5+ years experience; 3+ Years with Masters; 1 Year with PhD. * Requires the ability to obtain and maintain a Top Secret/SCI, with a Counterintelligence Polygraph (CI-Poly). Approval must be obtained within a reasonable timeframe, as determined by the company, to meet business needs. (No Clearance required to start; US Citizenship required.) * Demonstrated experience/expertise with AI/ML techniques like: * Optimization Theory (Linear Programming, Convex, Non-Convex) * Maximum Likelihood Estimation/Classification * Signal Processing Theory (e.g. Fourier Transforms, Cyclostationarity) * Control Theory (e.g. Kalman Filters, Feedback Loops, Optimal Control Theory) * Training Strategies (e.g. Supervised, Unsupervised, Reinforcement Learning) * Probabilistic Modeling (e.g. Mixture models, Bayesian updates) * Neural Network Architectures (e.g. Transformers, State Space Models, Recurrent, Convolutional) * ML Classifiers (e.g. SVM, Kernel Tricks, Random Forest, Ensemble) * Dimensionality Reduction Techniques (e.g. SVD, PCA, VAE, t-SNE) * Strong Applied Mathematics background * Experience with high level programming languages (e.g. Matlab, Python, R) * Experience with version control software (preferably git), * Active TS/SCI clearance (Employment will be contingent on obtaining and maintaining this clearance) * Strong Communication/Presentation skills * Mission Management Algorithms experience (e.g. Assignment Problem, Traveling Salesman) * RF Processing Algorithm Experience (e.g. ModRec, Detection, CAF) * Experience with Deployment tools (e.g. Docker, Kubernetes, Embedded, Linux) * Distributed Algorithm experience * GPU Programming Experience * Experience working with the Proliferated Mission Management (PMM) framework * Experience working with GnuRadio or X-Midas ## Description This is a great opportunity for a flexible self-starter to work in a dynamic environment with real world technical content supporting a number of tools and systems. Plenty of opportunities for career advancement into leadership positions. This position will work a 9/80 schedule, with every other Friday off. This position is 100% onsite and cannot accommodate telecommute work.