Overwatch Imaging

Computer Vision Engineer

• Design and improve training pipelines to support faster, continuous model iteration
• Enable scalable experimentation across datasets, model architectures, and training strategies
• Improve reproducibility, experiment tracking, and comparison of training runs
• Build and refine workflows for: Data indexing, curation, and preprocessing
• Label quality validation and dataset management
• Data exploration for targeted labeling
• Develop evaluation and tests that reflect real-world operating conditions
• Improve synthetic data workflows to support targeted model improvement
• Train, evaluate, and iterate on computer vision models for: Detection, segmentation, classification, tracking
• Continuously explore and evaluate: new model families and research directions
• Incorporate multi-modal inputs including: Multiple image bands, Platform and sensor metadata (range, angles, telemetry, etc.)
• Optimize models for deployment on embedded GPU platforms like Nvidia Jetson
• Balance accuracy, latency, and resource constraints for real-world, real-time workflows

Senior Machine Learning Engineer, Computer Vision

Business Development Rep

• Scout, identify, and qualify new business opportunities across the U.S. Army, USAF, USSOCOM and its component commands (including AFSOC and ARSOF), CBP Air and Marine Operations (AMO), the Intelligence Community, and partnered Defense Contractors integrating airborne ISR and sensor autonomy capabilities
• Track and analyze the Program Objective Memorandum (POM) cycle, RDTEN/PTEN budget lines, and Congressional appropriations to identify funding-informed pursuit targets across DoW and IC accounts
• Monitor relevant procurement signals including RFIs, Sources Sought, BAAs, OTA solicitations, IDIQ task orders, and SBIR/STTR opportunities aligned to airborne ISR, UAS sensor payloads, MUM-T, and AI-enabled autonomy
• Apply rigorous qualification discipline early, distinguishing real funded requirements from wish-list activity, and protect the team’s capture investment by walking away fast from low-probability pursuits
• Personally own opportunities from initial scouting through qualification, capture, proposal, award, and post-award transition to program management
• Build and execute win strategies, price-to-win analysis, capture plans, and teaming agreements that convert qualified opportunities into awarded contracts
• Develop proposals, white papers, technical solutions, plans of action, business plans, and marketing collateral tailored to DoW, CBP, IC, and prime contractor customers

Business Development Director

QA Engineer

• Prepare for and participate in flight tests with airborne sensor systems, including payload setup, checklists, and test verification.
• Assist in integration of sensor hardware (electrical, mounting, cabling) onto aircraft prior to test flights.
• Execute test plans during airborne missions and document outcomes for engineering evaluation.
• Analyze issues from flight data, logs, and onboard systems to identify and resolve hardware or software anomalies.
• Serve as a field representative during customer flights, demos, and deployments; communicate clearly with pilots, operators, and external stakeholders.
• Conduct on-site technical training or support for customers as needed.
• Write and execute targeted test plans that reflect real-world airborne use cases (not just desktop tests).

Senior Machine Learning Engineer, Computer Vision

Business Development Director

Senior Systems and Test Analyst