Top Tech Jobs & Startup Jobs

Lead maritime systems design and end-to-end V&V for defence customers. Manage subcontractors, integrate sub-components, translate operational feedback into product requirements, ensure compliance with industry and defence standards, and act as primary technical authority through delivery and through-life support.

Lead sensor integration and tactical capability development for a UCAV program. Define sensor fusion, cross-sensor cueing, pre-mission workflows, CONOPS, and threat-driven sensor requirements. Lead trade studies, validate detection/ID/tracking via modeling, simulation and tests, and provide technical leadership and mentorship to sensor and software teams to optimise survivability and mission success.

Develop and benchmark 3D computer vision and localisation systems (SLAM, visual odometry, scene matching, geo-registration, 3D reconstruction). Extend geometric deep learning and feature-matching methods, design experiments and benchmarks, adapt models to hardware constraints, and collaborate with research, engineering, and product teams to deploy robust AI solutions.

Lead end-to-end systems engineering and integration of airborne AESA/MFR radar: translate mission needs into verifiable performance requirements, manage antenna and airframe integration, ensure low-observability compliance, lead verification and flight test, manage supplier technical control, define ICDs, and produce program requirements and test artifacts to deliver a mission-ready sensor.

Develop and lead verification and validation models, tools, test environments, and qualification activities for an AI-enabled electronic warfare capability on a fighter jet. Responsibilities include creating high-fidelity aircraft and EW simulations, integrating HiL and SiL labs, automating test execution and results, managing requirements traceability, supporting MBSE and V&V strategy, ensuring ARP4754B and DO-178C compliance, authoring certification documents, and coordinating final qualification with customers and aviation authorities.

Provide hands-on IT support for the Washington, D.C. office, including service desk troubleshooting, Windows and macOS device lifecycle management, conference room and AV systems, printers, connectivity, and Office 365 administration. Manage user access and licensing, proactively resolve technical issues, and occasionally travel to operational and test facilities to establish and support local IT environments. Experience with Intune, Jamf, PowerShell, or Python is beneficial.

Build and secure developer platforms and software delivery pipelines. Responsibilities include Kubernetes and ArgoCD operations, secure CI/CD, software supply chain protection, policy-as-code, compliance controls for CMMC and NIST frameworks, threat modeling, incident response, secure ML/AI workload hosting, and collaboration with product teams to achieve authorization to operate.

Design and operate secure, multi-account AWS infrastructure and EKS environments using Terraform. Manage shared developer services, CI/CD pipelines, observability, container platforms, and self-service automation. Support MLOps workloads and agentic AI workflows while collaborating with product teams. Ensure infrastructure and software supply chains meet CMMC Level 2, ATO, NIST, and FIPS requirements.

Own the full lifecycle of detection and tracking models, including data curation, annotation, training, evaluation, optimization, and deployment to embedded edge platforms. Develop object detection and multi-object tracking systems using mission-specific sensor data, diagnose performance issues, and collaborate with systems engineers to integrate models into the Altra platform. Optimize models for SWaP-constrained environments and support electro-optical and infrared modalities.

Design, build, and maintain systems-level Rust software for an AI-powered autonomous drone platform. Integrate AI/ML pipelines, develop networking and protocol components, support autonomy features, and create reliable software for resource-constrained, low-latency environments. Develop and test through simulation while collaborating with ML engineers and contributing across application and systems layers.