Senior Software Engineer Expeditionary Systems (OpAI)

Science Applications International Corporation
San Diego, CA, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
9 years minimum
Compensation
$160,001 - $200,000
Working hours
Regular working hours

Tech stack

Testing (Software) JavaScript (Programming Language) Geographic Information Systems Artificial Intelligence Airflow Amazon S3 Data Analysis Apache HTTP Server Systems Engineering ArcGIS (Software) Computer Programming Databases
+31 more
Data Architecture Data Normalization Data Stores Elasticsearch Design of User Interfaces Human-Computer Interaction JSON Python (Programming Language) PostgreSQL Machine Learning PostGIS RabbitMQ Redis Data Mesh Software Engineering Data Streaming Systems Integration Extensible Markup Language (XML) ZeroMQ (Concurrent Programming Libraries) Parquet ReactJS Snowflake SC Clearance Containerization Kubernetes Information Technology Apache Kafka Operational Systems Front End Software Development Data Pipelines Docker

Job description

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., * 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.

Requirements

Software Engineering, Systems Engineering, Software Engineering, Secret Clearance, Sensitive Compartmented Information (SCI), Top Secret Clearance, Work From Home, Machine Learning, User Interface/Experience (UI/UX), Keyboards, * 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

Benefits & conditions

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

About the company

SAIC 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.

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