Staff AI Software Engineer - Level 5
Northrop Grumman2 days ago
Boulder, CO, USAStaff+
Base Salary
$214k - $321k/yr
Responsibilities
- Develop and execute the AI/ML strategy, roadmap, and execution vision for a small technical team.
- Lead the full AI/ML lifecycle from problem definition and data collection through model development, deployment, monitoring, and continuous improvement.
- Develop and curate training and evaluation datasets and define data management, labeling, training, testing, and validation infrastructure.
- Drive AI/ML solution maturity and integration into software systems, including deployment to edge platforms within program and security constraints.
- Oversee AI/ML model and algorithm design, evaluate new techniques and tools, and monitor production performance.
- Collaborate with program management, architects, systems engineers, domain experts, and technical leads to align AI/ML work with contract objectives.
- Present AI/ML roadmaps, findings, recommendations, analyses, and demonstrations to customers, senior management, and stakeholders.
- Lead and organize tasking for a team of fewer than five individuals and build relationships with internal and external partners.
Requirements
- Bachelor’s degree in STEM and 12 years of related experience, or a master’s degree in STEM and 10 years of related experience, or a STEM PhD and 8 years of related experience.
- Active in-scope U.S. Government DoD Secret clearance required to start, with the ability to obtain and maintain TS/SCI clearance.
- Recent C++ experience is required.
- Preferred qualifications include technical team leadership, Python, DevSecOps environments, Agile tools including JIRA and Confluence, Kubernetes, Docker, Podman, and distributed systems experience.
- Preferred experience includes deploying machine-learning models to edge platforms with LiteRT/TensorFlow Lite and applying ML algorithms to tracking applications.
- Preferred expertise includes data management, deep learning, natural language processing, computer vision, reinforcement learning, TensorFlow, PyTorch, scikit-learn, Keras, LLMs, generative AI, prompt engineering, data mining, data analysis, data visualization, cloud platforms, and big-data technologies.
- Preferred cloud experience includes AWS, Azure, or GCP; preferred big-data experience includes Hadoop, Spark, or Hive.
- Excellent leadership, management, communication, organizational, and stakeholder relationship skills are preferred.
Benefits
- On-site position in Boulder, Colorado, with relocation assistance potentially available.
- Health insurance, life and disability insurance, savings plan, company-paid holidays, and paid time off.
- Employees may be eligible for overtime, shift differential, and discretionary bonuses; compensation figures are excluded from this benefits list.
Tech Stack
Apache HadoopApache HiveApache SparkAWSAzureC++DockerGoogle Cloud PlatformKerasKubernetesPythonPyTorchscikit-learnTensorFlow
Categories
About Northrop Grumman
Northrop Grumman designs and manufactures aircraft, spacecraft, missile defense, C4ISR, and cyber systems for the U.S. government, NASA, and allied nations. The company operates primarily through long-term defense and space contracts, delivering products and services spanning autonomous systems, sensors, software, and sustainment. Founded in 1994 and headquartered in Falls Church, Virginia, it is a public company listed on the NYSE (ticker: NOC).