Job SummaryGeneral Atomics Integrated Intelligence Inc. (GA-Intelligence) develops cutting-edge software solutions that transform raw data into actionable intelligence. We specialize in real-time global situational awareness and battle management, processing petabytes of data from hundreds of sources across air, land, and sea. Our systems-including the widely used THRESHER and DRAGONSPELL platforms-support tens of thousands of users at all levels of the DoD and Intelligence Community and enable critical decision-making for national security missions.
We process hundreds of thousands of observations per minute, operating at the scale of global sensor networks and battlefield telemetry. Our backend architecture leverages technologies like Kafka, AWS, NiFi, and GeoMesa-the latter of which we designed and open-sourced-to deliver high-throughput, mission-resilient systems that turn streaming data into real-time intelligence.
GA-Intelligence is looking for mid-level Tracking Engineers to revolutionize data fusion for air, maritime, and ground tracking. Harness your skills in algorithms, mathematics, and software engineering to architect innovative data collection, processing, analysis, and visualization solutions. Develop advanced probabilistic tracking solutions to empower real-time situational awareness. Join our growing team and shape the future of tracking and intelligence integration.
Mid-level engineers at GA-Intelligence are trusted contributors who bring solid engineering experience and judgment to every stage of the software lifecycle. You will design, build, and maintain robust backend systems, while collaborating with others to ensure solutions are effective, maintainable, and aligned with mission goals. You'll also play an active role in mentoring junior engineers and shaping technical discussions within your team.
DUTIES AND RESPONSIBILITIES:- Contribute to development and deployment of tracking systems, ensuring adherence to software compliance standards.
- Develop and maintain robust tracking systems, incorporating advanced state estimation techniques (e.g. Kalman/IMM filters).
- Leverage advanced data fusion techniques to accurately track objects in dynamic environments.
- Mentor junior tracking engineers on current tracking methodologies and best practices.
- Perform in-depth geospatial analysis to uncover patterns and trends.
- Serve as a liaison between technical and non-technical stakeholders, effectively communicating complex technical concepts and requirements as required.
- Document technical concepts, system architectures, and implementation details in a clear and concise manner for both technical and non-technical audiences.
We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.
Job Qualifications- Typically requires a bachelors degree, masters degree or PhD in computer science, information systems or a related discipline and progressive software development experience as follows; four or more years of experience with a bachelors degree or two or more years of experience with a masters degree. May substitute equivalent experience in lieu of education.
- Ability to understand and leverage filtering algorithms, such as Kalman filters and Interacting Multiple Model (IMM) filters.
- Experience with a variety of programming languages, such as Java, Scala, Python, and Golang.
- Supporting experience to execute against database technologies such as PostgreSQL.
- Supporting experience to execute against cloud technologies such as Hadoop, Kafka, HBase, Accumulo.
- Experienced with software version control systems, in particular, git.
DESIRED SKILLS AND EXPERIENCE:- Experience with Computer Vision systems and intelligence collection.
- Knowledge of machine learning and deep learning techniques for enhancing tracking capabilities, such as object detection and classification.
- CI/CD pipelines and tooling (Gitlab CI/CD, ArgoCD, CircleCI, Jenkins).
- Experience with sensor technologies and data acquisition systems used in tracking applications, such as radar, lidar, GPS, or cameras.
- Deployment technologies such as: Docker, Kubernetes, Knative, Helm, Rancher.
- Knowledge of cloud computing platforms and services, such as Amazon Web Services (AWS) or Microsoft Azure.
- Interested in maintaining and adapting existing codebases.
- Experience with data fusion and data engineering tools.
- Familiarity with Intelligence Community and DoD mission sets.
- CompTIA Security+ certification or willingness to get certified.
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