Teams at Vivid Machines

Own and evolve full-stack applications, data models, APIs, cloud services, authentication, integrations, and observability. Build production systems using TypeScript, Python, AWS serverless services, and Rust, while partnering with embedded, data, and ML teams. Lead secure schema migrations, CI/CD, infrastructure, performance, reliability, and customer-facing integrations for agricultural vision systems.

Own the end-to-end software testing lifecycle across web, mobile, backend, embedded firmware, camera hardware, and sensor systems. Plan and execute manual, exploratory, integration, regression, and release testing; develop Python automation; maintain test environments and coverage; review developer tests; refine acceptance criteria; document defects; and provide quality metrics and go/no-go release recommendations.

Build and optimize real-time embedded vision systems for agricultural field vehicles. Own multi-camera capture and inference pipelines, sensor drivers, geometric localization, edge AI deployment, observability, testing, and remote fleet releases. Work across hardware, embedded Linux, cloud, and mobile systems while optimizing latency, throughput, thermal and power performance, reliability, and offline operation.