Spectrum San Diego

Senior Software Engineer Expeditionary Systems (OpAI)

Posted Yesterday

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San Diego, CA, USA

In-Office

Senior level

Security

The Role

Develop and integrate software and AI capabilities for expeditionary tactical systems, including sensors, unmanned systems, command-and-control platforms, and TAK. Responsibilities include building Rust and JavaScript applications, integrating machine learning models, managing real-time data meshes and pipelines, converting tactical data formats, testing systems during field experiments, and advising technical leadership. The role requires collaboration with machine learning, data, and systems engineers and supports Department of the Navy technology strategy.

Summary Generated by Built In

SAIC is seeking a highly experienced and motivated Senior Software Engineer to contribute to the integration of AI capabilities into expeditionary systems, including sensor kits, UxS, C2, and TAK. The successful candidate will play a key role in enhancing the capabilities of expeditionary systems through innovative and cutting-edge technologies. Daily tasks can vary from hands on keyboard to technical discussions, including but not limited to, maintaining real-time Zenoh data mesh in Rust, creating frontend React applications in JavaScript, working with AI engineers to integrate machine learning models, converting data between standard tactical message formats, or providing subject matter expertise in discussions with senior management.

Locations willing to consider future candidate:

This roles is 100% ON-SITE, must be nearby one of the following locations but if San Diego, CA is not your primary location you will be required to travel to San Diego, CA for at least 5 weeks a year for team meetings and administrative tasks.

San Diego, CA
Arlington, VA
Colorado Springs, CO
Charleston, SC
Denver, CO

JOB DUTIES:

Collaborate with cross-functional teams to understand and address the Navy's operational challenges integrating artificial intelligence into expeditionary systems.
Design, develop, and implement software for tactical applications
Test software at field experiments to ensure performant and high-quality data flow between tactical systems, including sensors, UxS, and C2
Collaborate with machine learning engineers and domain experts to analyze data and integrate machine learning solutions into existing systems.
Collaborate with data engineers to monitor data pipelines and analytics to ensure accuracy, reliability, and robustness.
Stay updated with the latest advancements in data architecture to propose and implement innovative solutions.
Work closely with systems engineers to connect data pipelines with operational systems
Provide technical expertise and contribute to the development of long-term technology strategies within the Department of the Navy.

Qualifications

REQUIREMENTS:

Bachelors in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics and nine (9) years or more experience. Years of experience in lieu of degree to be taken into consideration.
Must be a U.S. Citizen.
Must have an Active Secret Clearance to start.
Must be able to obtain a TS/SCI clearance after start.
At least 9 years experience working as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer, IT specialist, machine learning engineer, software engineer, or system administrator.
Familiarity with containerization technologies (e.g., Docker, Kubernetes).
Expert programming skills in Python.
Intermediate programming skills in Rust or Go.
Experience designing or normalizing tactical data to common standards.
Experience with multiple data formats, e.g., CSV, JSON, XML, Parquet, ORC.
Familiarity with event streaming libraries and platforms, e.g., Apache Kafka, AWS Kinesis, RabbitMQ, ZeroMQ, or Zenoh.
Experience with troubleshooting tactical systems.
Experience deploying, monitoring, and improving tactical data pipelines.
Strong problem-solving and analytical skills.
Passion for staying updated with the latest advancements in tactical data architecture.
Excellent communication skills and the ability to work effectively in a collaborative team environment.

DESIRED SKILLS:

Experience integrating systems with Tactical Assault Kit (TAK) ecosystem.
Familiarity with data pipeline frameworks and libraries, e.g., AirByte, Apache Airflow, dbt, Apache Iceberg, Snowflake.
Experience with adding and retrieving data from Geographic Information Systems (GIS), e.g., ArcGIS, PostGIS.
Expertise in Elasticsearch, Redis, S3, PostgreSQL, or other data stores.
Understanding of cybersecurity principles in the context of tactical applications.
Previous experience working with government agencies or military organizations.
Master of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics.

About UsSAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Skills Required

Bachelor’s degree in Computer Science, Data Science, Geography, Mathematics, Machine Learning, or Statistics, or equivalent experience in lieu of degree
At least 9 years of relevant experience in software engineering, data engineering, data science, analytics, systems administration, or related fields
U.S. citizenship
Active Secret security clearance at start
Ability to obtain a TS/SCI clearance after starting
Familiarity with Docker and Kubernetes
Expert programming skills in Python
Intermediate programming skills in Rust or Go
Experience designing or normalizing tactical data to common standards
Experience with CSV, JSON, XML, Parquet, and ORC data formats
Familiarity with event streaming platforms such as Kafka, AWS Kinesis, RabbitMQ, ZeroMQ, or Zenoh
Experience troubleshooting tactical systems
Experience deploying, monitoring, and improving tactical data pipelines
Strong problem-solving, analytical, communication, and collaboration skills
Experience integrating with the Tactical Assault Kit ecosystem
Familiarity with AirByte, Apache Airflow, dbt, Apache Iceberg, or Snowflake
Experience with GIS systems such as ArcGIS or PostGIS
Expertise with Elasticsearch, Redis, Amazon S3, PostgreSQL, or other data stores
Understanding of cybersecurity principles for tactical applications
Experience with government agencies or military organizations
Master’s degree in a relevant technical discipline