Provide technical support to the Air Education and Training Command by developing, enhancing, testing, deploying, securing, and sustaining software and data solutions.
Responsibilities
Develop, configure, test, deploy, troubleshoot, and maintain secure web applications, APIs, data services, automation products, dashboards, and other digital capabilities supporting A3G requirements.
Work with stakeholders to identify and document user, mission, business, functional, non-functional, regulatory, and Department of the Air Force requirements.
Develop and maintain technical designs covering application architecture, user interfaces, workflows, system interfaces, data models, and data flows.
Design, build, and maintain APIs, connectors, ETL processes, data pipelines, data structures, and integration services.
Configure and develop data pipelines, ontologies, dashboards, applications, code repositories, and data integrations within Envision or Palantir Foundry.
Requirements
Bachelor’s degree in software engineering, computer science, electrical engineering, information systems, data science, mathematics, or a related technical discipline
Nice to have: 7+ years industry/government experience
Nice to have: Hands-on experience with Palantir Foundry, Foundry AIP, Envision
The Modeling Software Engineer develops and maintains databases, models, and analytical tools supporting intelligence assessments of adversary PNT and satellite systems.
Responsibilities
Design and maintain web-enabled technical databases.
Develop software tools supporting intelligence analysis and threat characterization.
Create and maintain digital representations of foreign PNT, SATCOM, and navigation architectures.
Build analytical models, simulations, and mission-support tools.
Integrate intelligence data from multiple sources into structured repositories.
Requirements
Bachelor's degree in Computer Science, Software Engineering, Data Science, or related discipline.
Design, develop, and enhance business-critical applications supporting our Sales organization, combining full-stack development, solution design, and modern AI capabilities.
Compensation
for this role the yearly starting salary is 40.040 EUR Gross
Responsibilities
Develop and maintain modern web applications across frontend and backend technologies.
Assess existing applications and recommend architecture, technology, and user experience improvements.
Partner with Sales, Finance, and IT stakeholders to understand business needs and translate them into technical solutions.
Design and develop APIs, integrations, and data models that support scalable business processes.
Explore and implement AI-powered capabilities such as workflow automation, intelligent assistants, and business insights.
Requirements
Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience.
Lead technical QA/QC and characterization of airborne lidar datasets and derived elevation products against 3DEP, ASPRS, contractual, and project-specific requirements.
Responsibilities
Lead technical QA/QC and characterization of airborne lidar datasets and derived elevation products
Develop and implement advanced methods for evaluating lidar point density, spatial distribution, completeness, and localized deficiencies
Perform vertical accuracy assessments using GNSS, total-station, terrestrial laser scanning, UAS, and other independent reference datasets
Investigate lidar anomalies and determine whether observed deficiencies are associated with acquisition, calibration, classification, processing, or product-generation workflows
Develop scalable Python-based tools for processing tens of millions of points per tile and thousands of production datasets
Data Engineer to support a government customer in Reston, Virginia, focusing on data automation, optimization, and analysis for national security and space missions.
Locations (2)
Reston, Virginia, United States
Chantilly, Virginia, United States
Compensation
$100,000 to $124,400
Responsibilities
Develop and implement methods of automation and optimization of data and products
Demonstrate understanding of statistical analysis such as regression, anomaly detection and clustering
Communicate data science activities and technical findings to technical and non-technical customers
Combine diverse data sources including Open Source, PAI, CAI, and intelligence records
Elicit and define system requirements, track progress, evaluate test results
Requirements
Bachelor of Science Degree in Science, Technology, Engineering, or Mathematics
Provide systems engineering and analytical support for national security space decisions, integrating intelligence with engineering analysis, modeling, and simulation.
Locations (2)
Chantilly, Virginia, United States
Reston, Virginia, United States
Compensation
$140,200 to $167,000
Responsibilities
Support threat‑informed mission engineering activities, including end‑to‑end mission thread analysis, resiliency assessments, and deployment analysis.
Develop and execute modeling and simulation (M&S) cases using tools such as STK, AFSIM, or custom Python/MATLAB models to characterize system performance, coverage, and timelines.
Translate intelligence on foreign space and counterspace systems into technical requirements, measures of performance/effectiveness (MOP/MOE), and risk considerations for architectures and programs.
Coordinate with stakeholders across customer mission centers, Service components, USSF/SSC, the IC, and Combatant Commands to ensure analytic consistency and support decision processes.
As the organisation’s sole Data Analyst, you will play a pivotal role in delivering the operational elements of the Data Strategy.
Compensation
£50,000 - £53,000 / year
Responsibilities
Identify, scope and implement data flows and semantic models to enhance the reporting architecture.
Support the implementation of the data architecture necessary to support the Insights and Policy teams, enabling them to produce strategic insights and reports.
Collaborate with colleagues who lead on reporting and insights to develop and promote a self-service reporting approach across the organisation.
Prepare for the development of advanced analytics, including predictive and prescriptive models.
Own and drive the implementation of the data quality framework, including the design and maintenance of exception reports and priority status reporting.
Design and analyze quantum error correction schemes for neutral‑atom quantum computers, develop simulation tools, and collaborate with hardware, control, and algorithm teams to advance fault‑tolerant quantum computation.
Responsibilities
Take ownership of selected QEC workstreams, driving design decisions on code choice, fault‑tolerant protocols, and resource trade‑offs.
Contribute to planqc’s fault‑tolerance roadmap, translating QEC research into concrete architectural and engineering milestones.
Develop and analyze quantum error correction schemes tailored to neutral‑atom architectures.
Perform numerical simulations of QEC protocols and benchmark decoders under realistic noise models.
Analyze trade‑offs between different error correction schemes for the implementation of logical operations.
Requirements
Bachelor's degree in physics (preferred)
Nice to have: PhD in quantum physics
Nice to have: prior experience in quantum error correction
Nice to have: familiarity with stabilizer formalism
Contribute to test and evaluation planning (developmental and operational), including modeling for test design, data sufficiency, and evaluation criteria.
Full-Stack EngineerNewProcter & Gamble · Athens, Greece
Quantum Error Correction EngineerNewplanqc GmbH · Cambridge, United Kingdom