SENIOR SOFTWARE ENGINEER - DATA SCIENCE PLATFORM

Req ID: 45635 
Team: T56 BUSN TECH&TRANS 
Entity: Newport News Shipbuilding

US Citizenship Required for this Position: Yes 

Full-Time
Shift: 1st 
Relocation: No relocation assistance available 
Virtual/Telework Opportunity: Yes - Occasional or hybrid telework available 

Travel Requirement:  Yes, 10%-25% of the time 

Clearance Required: No - Clearance Not Required to Start 

 

Meet HII’s Newport News Shipbuilding
With more than 25,000 employees – including third-, fourth- and even fifth-generation shipbuilders – HII’s Newport News Shipbuilding (NNS) division is the largest industrial employer in Virginia. We’re the sole designer, builder and refueler of U.S. Navy nuclear aircraft carriers and one of two providers of U.S. Navy nuclear submarines. Our diverse and innovative team of professionals ranges from skilled trades to project managers, engineers and software developers to solution architects, technical subject matter experts, and system users. Anchored in our rich, 135-year history, we collaborate together at the forefront of technology, manufacturing, and integration of the most powerful and survivable naval ships in the world. Want to be part of the team? Apply today! We look forward to meeting you.

 

The Role

Design, develop, and test operating systems-level software, compilers, and network distribution software. Set operational specifications, and formulate and analyze software requirements. May design embedded systems software.

We are seeking a Senior Software Engineer to join our Data Science team and play a key role in building and maintaining software solutions that enable machine learning at scale. In this role, you will design and develop robust, production-grade systems that integrate with ML Ops workflows, ensuring models and data pipelines are reliable, secure, and efficient. You will collaborate closely with data scientists, ML engineers, and DevOps professionals to deliver high-quality software that supports the entire machine learning lifecycle. 
Your work will enable advanced analytics and AI-driven insights that support critical business decisions and innovation across the organization

Key responsibilities include:
•    Designing and implementing scalable software solutions for ML pipelines and data workflows.
•    Developing APIs and services to support model deployment and monitoring.
•    Building tools and frameworks that improve automation and reproducibility in ML Ops environments.
•    Ensuring software quality through testing, code reviews, and best practices.
•    Collaborating with cross-functional teams to optimize performance and reliability.

Must Have

Bachelor's Degree and 9 years of relevant exempt experience; 
Master's Degree and 7 years of relevant professional experience; 
Ph.D. and 4 years of experience.

One of the following may be used as an equivalent to Bachelor's Degree for Information Technology Related Positions Only:

• NNS Apprentice School graduate 
• Navy Nuclear Power School (NNPS) graduate
• Associate's Degree or other formal 2 year program and 2 years of relevant exempt experience or 4 years of relevant non-exempt experience
• Military Paygrade E-5 or above military experience 
• High School/GED and 4 years combined of Manufacturing, Shipbuilding, Trades, Military experience or other relevant exempt experience
• High School/GED and 8 years combined of Manufacturing, Shipbuilding, Trades, Military experience or other relevant non-exempt experience
• A relevant professional certification can be substituted for a Bachelor's Degree.
• Bachelor’s degree in Computer Science, Software Engineering, or related field.
  •    9 years of experience in software engineering with a focus on backend or systems development.
  •    Strong proficiency in programming languages such as Python, Java, or C++.
  •    Experience with containerization and orchestration (Docker, Kubernetes).
  •    Familiarity with cloud platforms (AWS, Azure, GCP).
  •    Knowledge of CI/CD pipelines and version control systems (Git).
  •    Solid understanding of software architecture, design patterns, and API development.

Nice to Have

Experience supporting ML Ops workflows and machine learning deployments.
•    Familiarity with ML frameworks (TensorFlow, PyTorch) and ML Ops tools (MLflow, Kubeflow, Airflow).
•    Knowledge of distributed systems and large-scale data processing (Spark, Hadoop).
•    Strong background in building microservices and RESTful APIs.
•    Experience with security and compliance in cloud-based environments.
•    Ability to work collaboratively in a fast-paced, cross-functional environment.

 

Why HII
We build the world’s most powerful, surviv