Top Tech Jobs & Startup Jobs

Develop end-to-end data and machine learning capabilities for Special Operations users. Responsibilities include building scalable pipelines, transforming large datasets, applying advanced analytics and machine learning, deploying models and inference services, developing APIs, and delivering analyst-facing applications. The role requires collaboration with mission users, analysts, engineers, and technical leadership in a customer-site environment.

Leads the enterprise real estate and capital project portfolio, including lease administration, capital planning, budgeting, project governance, and complex project delivery. Develops executive recommendations on cost, risk, timing, and priorities; coordinates with Finance, Legal, Procurement, IT, Security, HR, vendors, landlords, and consultants; manages project managers; and implements portfolio management standards and systems.

Coordinates project administration across records, staffing, finances, security, facilities, onboarding, access management, and team engagement. Maintains low- and high-side records, supports cost tracking and reporting, coordinates meetings and recruiting activities, and helps ensure SCIF and office readiness. Works with program leadership, corporate teams, customers, security personnel, and staff while protecting sensitive information and following classified and unclassified handling procedures.

Supports functional-unit projects through research, data entry, administrative work, content creation, data analysis, problem solving, and collaboration. Works under close supervision with detailed instructions, handles confidential information discreetly, learns company policies and procedures, and presents internship project outcomes and lessons learned. The role may provide a pathway to future employment and potential security-clearance processing for classified national security work.

Provides first-line remote and on-site technical support for employees, troubleshooting Windows, macOS, Google Workspace, hardware, connectivity, accounts, and workplace technology. Manages tickets, SLAs, escalations, documentation, asset records, and user communications. Performs authorized Active Directory and Google Admin tasks, supports incident and problem management, coordinates with technical and vendor teams, and follows security and operational procedures. Requires one to two years of service desk or technical support experience and the ability to obtain applicable security clearance.

Build scalable systems and machine learning models that transform satellite imagery into labeled geospatial data and production computer vision products. Responsibilities include developing data and annotation pipelines, tracking lineage and versioning, deploying inference services, evaluating models, supporting cloud infrastructure, and improving labeling workflows. The role requires strong Python, cloud, containerization, CI/CD, infrastructure-as-code, production support, and deep learning expertise, with preferred experience in GCP, Vertex AI, spatial databases, and satellite imagery.

Leads Scrum and SAFe ceremonies for distributed engineering teams, removes complex impediments, coaches teams and stakeholders, drives continuous improvement, monitors delivery metrics and risks, and promotes alignment across contractors and government customers. The role requires active TS/SCI clearance with CI polygraph and periodic on-site work for classified activities.

Supports AI engineering initiatives at Vantor, contributing to spatial intelligence solutions and helping develop technologies that enable customers to understand current and future conditions. The posting provides limited role-specific responsibilities but emphasizes problem-solving, innovation, collaboration, and mission-focused work. Applicants must qualify as a U.S. Person under applicable export control and ITAR requirements.

Own the vision, strategy, roadmap, requirements, and customer value proposition for Vantor’s Operational World Model. Prioritize mission-relevant use cases, define MVP capabilities, align product and engineering teams, and guide delivery across geospatial data, simulation, sensor modeling, and real-time operational services. The role also supports customer demonstrations, proposals, partner engagement, product positioning, and adoption while coordinating stakeholders across product areas, engineering, GTM, government, and industry.

Supports aerospace modeling and simulation studies involving satellites, aircraft, and ISR sensor systems. Responsibilities include building complex scenarios, architecting aerospace system trades, developing data-analysis tools, conducting QA/QC checks, analyzing results, and presenting findings to senior decision-makers and customers. The intern will work on short- and long-term studies for government and commercial clients.