• Design, develop, and implement automated V&V and T&E frameworks to assess the accuracy, performance, and operational readiness of remote sensing data products, AI/ML models, and vendor-delivered geospatial capabilities • Lead the technical evaluation of commercial and government remote sensing platforms, sensors (multispectral, hyperspectral, SAR, LiDAR), and associated data products against mission-specific requirements • Develop and maintain scalable, production-grade machine learning pipelines for geospatial applications including change detection, land cover classification, object detection, and environmental monitoring • Apply state-of-the-art AI/ML techniques — including deep learning, transfer learning, self-supervised learning, and large vision/language models — to automate remote sensing data exploitation and analysis workflows • Conduct rigorous uncertainty quantification, validation metric development, and statistical performance benchmarking across multi-source, multi-temporal geospatial datasets • Collaborate with program managers, government customers, and interdisciplinary engineering teams to translate operational requirements into validated technical solutions • Author technical reports, white papers, and briefings documenting methodology, V&V results, and performance findings for government sponsors

• Detect, define, reconcile, unify and coordinate all activities related to the project throughout its lifecycle; • Identify, monitor and control the project performance indicators; • Apply the Company’s existing project management standards; • Disseminate, support the planning of and monitor the delivery of training for the project team; • Support the project manager with legal compliance requirements and audits; • Analyze, support and monitor the resolution of anomalies; • Provide the meeting focal point with the information required for the project RACs; • Monitor the resolution of project open items and issues, including analysis, control, follow-up with stakeholders and backlog remediation, reporting periodically to the project manager; • Provide support to management for presentations, meetings, minutes, reports and project routines; • Gather necessary information and complete SMP drafts in the current corporate system; • Follow up on and support the implementation/resolution of registered SMPs; • Perform other similar activities of comparable complexity and scope.

• Help develop and refine systems that integrate state-of-the-art perception and mapping technologies for use in diverse driving environments. • Assist in creating dynamic 3D models by combining data from sensors and external sources to support planning and navigation. • Work on enriched bird’s-eye-view (BEV) models to enable autonomous vehicles to navigate complex urban settings without relying solely on high-definition maps. • Help build static obstacle and occupancy grids, and generate occlusion masks to improve the vehicle’s understanding of its environment. • Work closely with perception and planning teams, learning from experts and contributing to shared goals. • Write high-quality code and follow automotive industry best practices for safety and reliability.

• The Privileged Access Management (PAM) Security Engineer will play a critical role in safeguarding enterprise systems by designing, implementing, and maintaining secure access controls for privileged accounts. • This role will focus on the deployment and operational support of PAM solutions—primarily BeyondTrust—across a diverse technology landscape including Active Directory, Windows, UNIX, MSSQL, Oracle, and cloud platforms (Azure, GCP, AWS). • The engineer will collaborate with cross-functional teams to ensure compliance with enterprise security standards (e.g., ISTS, GRC), streamline credential management, and support automation of access provisioning and deprovisioning processes.