Northrop Grumman

Systems Engineer

• Lead a management team with disciplines of Test Engineering, Performance Analysis (CFD/M&S), Structural Analysis, and Specialty/Safety Engineering
• Lead a team individual contributors directly (Engineering Program Managers, Chief Engineers, System Architects, SEIT Leads)
• Oversee execution on one or more engineering development or production programs
• Lead staffing strategy and implementation across responsible functional areas
• Drive engineering strategy and practices pertinent to the Marine Systems E&S organization, including but not limited to investments and talent strategy
• Drive predictable financial and program results
• Support department initiatives, forecasting and recruiting, technology roadmap creation, and champion continuous process improvements
• Position requires travel up to 25% of the time to support distributed team

Systems Engineering Manager – Level 3

Data Engineer

• Design and deploy production‑grade data pipelines using Python/PySpark and SQL in Databricks
• Build and sustain data pipeline processes from SAP ERP and other financial reporting systems
• Convert high‑level design specs into physical, dimensional data models optimized for finance analytics
• Proactively monitor pipeline health, troubleshoot production issues, and implement fixes to guarantee high data availability
• Collaborate with senior engineers, finance analysts, and business partners to understand analytical needs
• Enforce data‑quality standards, security controls, and governance best practices

Principal Data Engineer – Finance

Communications

• Perform Network Communications activities in support of classified government contracts
• Maintain operations of LAN/WAN/VPNs and encryption technologies
• Plan, design, configure, and implement small to medium scale LAN/WAN solutions
• Lead the configuration, testing, and roll-out of routing/switching platforms and security appliances
• Contribute to proposing technical network design solutions
• Conduct capacity planning, performance forecasting, and present recommendations
• Develop and maintain enterprise-wide network standards, policies, and documentation
• Resolve incidents (WAN failures, security events, etc.)
• Provide second-level support resolution of technical problems
• Lead customer engagements and define requirements

Network Communications Administrator 3/4

• Incorporate AI into a system of system architecture
• Develops integration & test procedures
• Creates and analyzes models of a system
• Applies knowledge from various disciplines to architect and design systems
• Follows best practices throughout the Engineering Life Cycle

AI Systems Engineer – Principal/Sr. Principal Level

• Incorporate AI into a system of system architecture
• Develop integration & test procedures
• Create and analyze models of a system
• Architect and design systems using knowledge from various disciplines
• Use emerging verification and validation approaches

AI Systems Engineer, Principal Engineer Level

DevOps Engineer

• Design, architecture, development, deployment, and operation of modern DevSecOps software factory
• Standup of large-scale software factory used by software teams
• Implement segments of DevSecOps lifecycle - continuous build, continuous integration, continuous test, continuous cyber, and continuous deployment pipeline
• Collaborate with multi-disciplinary teams in an Agile software development environment
• Work with various disciplines such as Systems Engineering, Real-time & Embedded Software, Test Automation, DevSecOps, and Systems Test

Engineer Software – DevSecOps/DevOps

• Standup of large-scale software factory used by software teams
• Implement all segments of DevSecOps lifecycle: continuous build, continuous integration, continuous test, continuous cyber, and continuous deployment pipeline
• Work with multi-disciplinary teams such as Systems Engineering, Real-time & Embedded Software, Test Automation, DevSecOps, and Systems Test in an Agile software development environment

Principal Software Engineer – DevSecOps, DevOps

Data Scientist

• Work directly with stakeholders (engineers, program managers, subject matter experts) to scope problems, identify constraints, and iterate on technical solutions
• Bridge analytics and infrastructure by understanding both the business problem and the approach, then building systems that deliver insights
• Build user‐friendly, production‐grade ML/AI applications (e.g., Streamlit, Gradio) that provide data insights to teams across the enterprise and enable better decision making
• Develop and maintain cloud‐based infrastructure (AWS, Databricks) and tooling to support scalable and reliable data analytics workflows
• Design and implement CI/CD pipelines, infrastructure‐as‐code (Terraform, AWS CloudFormation), and MLOps practices that enhance team productivity
• Optimize existing workflows and advocate for software engineering best practices (version control, modular design, testing) to drive team efficiency and code quality
• Stay current on cloud technologies, MLOps trends, and application frameworks to identify opportunities for improvement

Senior Data Scientist – Machine Learning Engineer

• Work directly with stakeholders (engineers, program managers, subject matter experts) to scope problems, formulate the right analytical questions, and translate business challenges into rigorous data science approaches
• Apply deep analytical thinking to decompose complex problems—critically evaluate data quality and relevance, challenge assumptions, and design methods that address the business need
• Develop statistical models, machine learning solutions, and analytical frameworks that deliver actionable insights and drive operational decisions
• Build user-friendly, production-grade ML/AI applications (e.g., Streamlit, Dash) and analytical artifacts that provide data insights to teams across the enterprise and enable better decision making
• Write production-quality Python code and develop analytical pipelines using cloud-based platforms (AWS, Databricks) to support scalable and reproducible data science workflows
• Deliver insights through multiple channels—executive recommendations, analytical reports, interactive dashboards, and direct consultation with business leaders
• Take ownership of the technical quality and business impact of your work—make thoughtful methodological decisions, validate approaches rigorously, and stand behind your recommendations
• Stay current on analytical methods, statistical techniques, and domain-specific best practices to continuously improve the quality and impact of your work

Principal Data Scientist, Insights & Intelligence

Mechanical Engineer

• Work in a high-paced team environment to support program goals and schedule.
• Develop solutions to difficult problems that are thorough, imaginative, practical, and consistent with program objectives.
• Provide MRB dispositions for primary and secondary structures.
• Evaluate as-built products for conformity to standards, procedures, and specifications.
• Clearly communicate and coordinate with other disciplines during the development of design solutions.
• Present and explain structural issues and solutions to internal management and customer representatives concisely.
• Utilize computer-aided design (CAD) equipment and technical applications such as CATIA and Teamcenter.
• Develop layouts, sketches, and blueprints and investigate design factors such as damage tolerance, durability, design allowables, and structural modeling.
• Identify design errors or deficiencies and make recommendations for changes.

Structural Design Engineer – Principal

Full-stack Engineer

• design, develop, integrate and test software for end-user customers and businesses
• participate in the full software development life cycle including requirements, design, implementation, qualification, and delivery of software products to customers
• architect and develop applications in a simulated training environment
• be a part of Agile Scrum teams to develop software products for multiple software baselines

Software Engineer – Principal Software Engineer, Simulation

Analyst

• Produce high quality analysis of supplier proposals in support of Global Supply Chain (GSC) cost estimates.
• Perform fairly complex tasks and participate in determining objectives of assignment.
• Plan schedules and arrange activities in accomplishing objectives.
• Evaluate supplier proposals through various analysis techniques.
• Provide valuable insight into supplier risk and negotiation positions.
• Collaborate across multiple functions such as Contracts, Pricing & Estimating, Engineering, Global Supply Chain, and Program Management to prepare and submit high quality, compliant and on-time price/cost analysis reports (PCARs).

Principal/Sr. Principal Price/Cost Proposal Analyst – Level 3/4, Clearance Required

• Analyze, research, and develop materials and their related application processes for use in engineering design
• Apply principles of chemistry, physics, and material science to investigate material issues and provide solutions
• Work in a team environment with other engineering organizations performing detailed technical reviews of drawings, specifications, and manufacturing plans

Principal Engineer – Material Process

Engineer

• Oversee the development, request, and implementation of changes to the Program and technical baseline
• Develop change request packages and represent the package through the change board process
• Ensure change request package meets quality standards and is board ready
• Coordinate comment follow-up, resolution, and approvals
• Coordinate and provide input into impact assessments and resolution of board action items

Project Change Engineer

• Support virtualization and SW architecture statement of work in support of a new development effort
• Understand and decompose customer requirements to support software development and delivery across multiple business areas and baselines
• Monitor external technology development and maturation both in industry and within the company, applying new technologies and principles across programs to build a consistent technical vision for data center systems
• Work with Thread Leads as well as system Responsible Engineers to develop acceptance criteria for engineering design and implementation, ensuring consistency of implementation across multiple business areas and baselines
• Lead new design and capture efforts across the enterprise to build the foundation for future systems and incorporate opportunities into existing programs
• Decompose complex issues into high-level executive briefs for program leadership
• Provide technical leadership to a team of software cloud and infrastructure engineers
• Provide technical leadership, direction and knowledge transfer to other team members during the implementation of technical solutions