Geospatial Platform Engineer (AI/ML)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Geospatial Platform Engineer (AI/ML): Developing and operationalizing geospatial, imagery, and AI/ML data-driven applications with an accent on secure hybrid environments and containerized architectures. Focus on building scalable backend services, automating CI/CD pipelines, and integrating complex AI/ML model inference services.
Location: Must be a U.S. Citizen and must be based in McLean, VA for full-time onsite work.
Salary: $137,000 - $200,200 annually
Company
is a spatial intelligence company forging new frontiers in geospatial and imagery capabilities to help decision makers navigate complex global environments.
What you will do
- Develop and integrate backend services, APIs, and data connectors for geospatial, imagery, and AI/ML workflows.
- Design and maintain containerized application architectures using Docker and Kubernetes (Rancher, RKE2).
- Create and improve CI/CD pipelines and infrastructure automation using Ansible and Terraform.
- Support geospatial visualization and 3D terrain modeling using frameworks like Cesium.
- Operationalize AI/ML models at scale through integration, inference services, and deployment automation.
- Troubleshoot complex issues across Linux, containers, networking, and AI/ML environments.
Requirements
- Active TS/SCI security clearance with required polygraph.
- U.S. Citizenship is strictly required.
- Willingness to work onsite full time in McLean, VA.
- Bachelor's degree in CS, Engineering, or related field with 8+ years of experience (7 for Master's, 6 for PhD).
- Strong experience in Python, Java, C++, JavaScript, TypeScript, SQL, or Bash.
- Proven experience with Docker, Kubernetes, and CI/CD in hybrid or classified environments.
Nice to have
- Experience with Earth observation, EO/SAR, remote sensing, or full-motion video systems.
- Familiarity with Cesium, OMAR image library, and 3D geospatial visualization.
- Expertise in computer vision, object detection, classification, and model inference workflows.
- Hands-on experience with PostGIS, Apache Airflow, Elasticsearch, and NVIDIA Triton.
- Experience with AWS, Azure, HashiCorp Vault, and GitOps practices.
Culture & Benefits
- Robust 401(k) plan with company match.
- Unique perks including student loan repayment assistance and adoption reimbursement.
- Comprehensive mental health resources and pet insurance.
- Mission-driven work environment focused on high-impact spatial intelligence.
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