Job description

SAIC is seeking a highly experienced System Administrator Expeditionary Systems (OpAI) 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 maintaining the capabilities of expeditionary systems running innovative and cutting-edge technologies. Daily tasks can vary from hands on keyboard to technical discussions, including but not limited to, troubleshooting network connectivity issues, updating software on edge servers, applying Operating System updates to Linux systems, testing machine learning capabilities, and managing delivery of hardware and software to operational forces. THIS IS AN ONSITE ROLE IN SAN DIEGO, CA. WITH UP TO 15% OF TRAVEL INVOLVED JOB DUTIES: • Collaborate with cross-functional teams to understand and address the Navy's operational challenges integrating artificial intelligence into expeditionary systems • Build and maintain tactical systems for exercises, including radios, satellite terminals, and edge servers • 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 communications architecture and edge servers • Work closely with software engineers to connect data pipelines with operational systems REQUIREMENTS: • Bachelors and two (2) years or more experience; Masters and 0 years related experience • Must be a U.S. Citizen • Must have an Active Secret Clearance to start • Must be able to obtain a TS/SCI after start • At least 2 years of 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 • Intermediate experience with Linux command line • Familiarity with edge servers and embedded GPUs (e.g., Jetson Nano, DGX Spark) • Familiarity with containerization technologies (e.g., Docker, Kubernetes) • 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 Previous experience working with government agencies or military organizations DESIRED SKILLS: • Experience integrating tactical systems with Tactical Assault Kit (TAK) ecosystem • Experience integrating tactical systems into Maven Smart Systems (MSS) • Familiarity with data pipeline frameworks and libraries, e.g., AirByte, Apache Airflow, dbt, Apache Iceberg, Snowflake • Familiarity with Geographic Information Systems (GIS), e.g., ArcGIS, PostGIS • Expertise in Elasticsearch, Redis, S3, PostgreSQL, or other data stores • Experience with Maritime radars and AIS receivers • Understanding of cybersecurity principles in the context of tactical applications

Requirements

Must-haves

THIS IS AN ONSITE ROLE IN SAN DIEGO, CA. WITH UP TO 15% OF TRAVEL INVOLVED
Collaborate with cross-functional teams to understand and address the Navy's operational challenges integrating artificial intelligence into expeditionary systems
Build and maintain tactical systems for exercises, including radios, satellite terminals, and edge servers
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 communications architecture and edge servers
Work closely with software engineers to connect data pipelines with operational systems
Bachelors and two (2) years or more experience; Masters and 0 years related experience
Must be a U.S. Citizen
Must have an Active Secret Clearance to start
Must be able to obtain a TS/SCI after start
Intermediate experience with Linux command line
Familiarity with edge servers and embedded GPUs (e.g., Jetson Nano, DGX Spark)
Familiarity with containerization technologies (e.g., Docker, Kubernetes)
Experience with troubleshooting tactical systems
Experience deploying, monitoring, and improving tactical data pipelines

Nice-to-haves

Experience integrating tactical systems with Tactical Assault Kit (TAK) ecosystem
Experience integrating tactical systems into Maven Smart Systems (MSS)
Familiarity with data pipeline frameworks and libraries, e.g., AirByte, Apache Airflow, dbt, Apache Iceberg, Snowflake
Familiarity with Geographic Information Systems (GIS), e.g., ArcGIS, PostGIS
Expertise in Elasticsearch, Redis, S3, PostgreSQL, or other data stores
Experience with Maritime radars and AIS receivers
Understanding of cybersecurity principles in the context of tactical applications

Application prep

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Keywords to mirror

aimachine learningdockerkubernetes

Platform: oracle-cloud
Effort: medium