blackshark.ai

• Build and optimize ML orchestration pipelines that coordinate model training and inference across distributed worker pools • Design resilient, high-throughput services that process terabytes of geospatial imagery through GPU-accelerated inference • Develop the APIs and abstractions that allow customers to chain, filter, and compose AI models for complex detection workflows • Collaborate with ML Researchers to put new models in production • Tackle memory optimization, GPU autoscaling, and resource scheduling challenges unique to large-scale imagery processing

• Build and evolve our frontend application that serves as the primary interface for AI model training, inference execution, and results exploration. • Develop rich, interactive map-based visualizations for displaying detection results, segmentation masks, and training data coverage across large geographic areas. • Design intuitive workflows for complex geospatial operations: imagery upload and management, model configuration, inference parameterization, and results export. • Build performant UI components for browsing and interacting with large-scale imagery handling pan, zoom, and overlay rendering for high-resolution satellite and aerial data. • Work closely with backend engineers to integrate with our FastAPI services, designing responsive interfaces that communicate pipeline status, processing progress, and async job results in real time. • Contribute to our public API developer experience, building documentation portals and interactive tooling for external integrators. • Ensure the application works reliably across a variety of deployment contexts. We run our platform as SaaS, single-tenant cloud, on-premise, and on edge laptops in the field.

• Lead technical discovery with simulation OEMs and defense customers, turning mission requirements and system constraints into clear, executable solution paths • Deliver presentations, demos, and technical workshops that prove capability under operational scrutiny • Design and execute proof-of-concepts that validate performance and integration into customer ecosystems (e.g., Unreal, CDB pipelines, OEM toolchains) • Shape technical responses to RFIs/RFPs and conduct trade studies that position Blackshark as the credible, differentiated choice • Surface technical risks early - performance, interoperability, security, deployment complexity - and resolve them before they become blockers • Work closely with Sales leadership, Product, Engineering, and Delivery to ensure what we propose is technically sound, competitively strong, and ready to ship