Teams at Chaos Industries

Own product direction, prioritization, and delivery for tactical command-and-control software and an integration platform. Translate operator and mission needs into product decisions, define system interfaces, and partner with software, systems, hardware, and integration engineers. Balance program-specific integrations with reusable platform capabilities while supporting real-world deployments, interoperability, and operational constraints.

Build, integrate, evaluate, and deploy production AI/ML systems across defense product lines. Responsibilities include model serving, data pipelines, inference, monitoring, lifecycle management, robustness testing, interpretability, performance optimization, and edge deployment in constrained or adversarial environments. Collaborate with data scientists, software engineers, product teams, and mission stakeholders to turn research and prototypes into reliable software. The role requires strong Python and production engineering skills, with 10–20% travel and regular on-site work in San Francisco.

Design, build, and operate secure Azure cloud infrastructure and backend services for distributed radar systems. Develop scalable, low-latency services that ingest and process real-time sensor data; automate deployments with infrastructure as code and DevOps practices; and own observability, resiliency, reliability, and operational readiness. Collaborate with software, hardware, and systems engineers while influencing platform architecture and technical direction.