RELOCATION ASSISTANCE: No relocation assistance available
CLEARANCE TYPE: Top Secret
TRAVEL: Yes, 25% of the Time
Description
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.
Embark on a career putting innovative, reliable, and agile products and ideas into orbit, and beyond. Northrop Grumman has opportunities waiting for you that play a vital role in human space exploration, national defense, and scientific discovery, supporting multiple programs across the universe. With us, you’ll discover a culture of curiosity and collaboration that will have you Defining Possible from the day you start. Our space systems connect and protect millions of people on earth every day, now and for the future. Explore your future and launch your career today.
Are you interested in expanding your career through experience and exposure, all while supporting a mission that seeks to ensure the security of our nation and its allies? If so, then Northrop Grumman Space Sector is the place for you. With us, you’ll discover a culture of curiosity and collaboration that will have you Defining Possible from the day you start. Northrop Grumman is currently seeking an Artificial Intelligence (AI) Data Engineer – Level 5 or Level 6 , to join our team. This role can be located at any of our major Northrop Grumman locations within the United States. We may also consider a remote working scenario for this role. Join the Space revolution and make the impossible, possible.
Our AI Data Engineer will focus on designing, building, and maintaining machine learning (ML) datalakes, data pipelines and infrastructure to support AI and machine learning models, ensuring data quality, accessibility, and scalability for AI applications. As part of our growing AI team, you will combine AI & ML with data, analytics and automation to bridge the gap between raw data and actionable insights, ensuring that our AI models have access to clean, structured, and optimized data.
This position can be filled at either a Level 5 or 6.
Role and Impact:
Lead the development and optimization of scalable ML data pipelines, ML frameworks and workflows in HPC and cloud environments.
Gather requirements and helping define robust data models and architecture.
Apply DevOps practices, including basic Git workflows and involvement in CI/CD pipelines.
Assure data quality, security, and governance standards across all data-related activities.
Collaborate with cross-functional teams to ensure data solutions align with business needs and quality standards.
Research, design, build, and implement Machine Learning systems, and maintain, and improve existing ones.
Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI.
Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership.
Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation.
Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation.
Why You? You're the candidate we're searching for if you are ready to achieve the impossible alongside like-minded innovators.
Basic Qualifications:
Basic Qualifications for a Level 5:
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field with 12+ years of relevant, professional experience in software development, data science, math and/or AI/ML – OR – Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field with 10+ years of relevant, professional experience in software development, data science, math and/or AI/ML.
Basic Qualifications for a Level 6:
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field with 14+ years of relevant, professional experience in software development, data science, math and/or AI/ML – OR – Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field with 12+ years of relevant, professional experience in software development, data science, math and/or AI/ML.
Additional Basic Qualifications for both levels:
Strong proficiency and recent experience in Python, C/C++and standard ML / deep-learning libraries
Experience with ML, deep learning, LLM, Transformers, Reinforcement Learning, etc.
Demonstrated ability to write efficient and reliable software following best practices in software design, testing, review, and documentation.
Strong technical communication skills.
Ability to collaborate and work effectively on complex software systems in a team setting.
A growth mindset, a willingness to take ownership of your work, and an ability to adapt to the challenges of a fast-paced startup environment.
Understanding of data modeling concepts and databases/data warehouses
Familiarity with cloud platforms (Azure, AWS, or GCP).
Ability to travel up to 25%.
Must have the ability to obtain and maintain a U.S. Government DoD Top-Secret security clearance.
Preferred Qualifications:
Experience designing data pipelines, handling large volumes of data, and generating compelling visualizations.
Experience in leading technical teams
Experience in SQL, relational databases, and/or related topics (i.e., database design, query optimization, NoSQL, RDSMS, etc.).
Experience with Amazon Web Service (AWS) products (e.g., S3, Redshift, DynamoDB, Lambda, Sagemaker) or equivalent cloud services (Microsoft Azure, Google Cloud Platform).
Experience and/or strong technical foundations in machine learning, supervised learning, optimization, neural networks, applications in computer vision (image classification, object detection, semantic segmentation, keypoint detection, tracking, etc.).
Hands-on experience writing ML training and/or inference code in Python and common libraries (e.g., PyTorch, Tensorflow, Keras, scikit-learn, Huggingface, Weights & Biases, Tensorboard).
Knowledge of ML operations and best practices for production-grade ML model development.
About Space Sector: We are an industry-leading provider for prime satellite and payload capabilities and directed energy and electronics solutions for national security, military, and civil customers.
Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: https://www.northropgrumman.com/space
Salary Range: $134,300.00 - $233,300.00Salary Range 2: $184,600.00 - $256,400.00
The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.
Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.
The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.