Jobs 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.

Design, build, and operate secure Azure cloud infrastructure and backend services for distributed radar systems. Develop low-latency services that ingest and distribute real-time sensor data, automate deployments with infrastructure as code and DevOps practices, and own monitoring, observability, resilience, and operational readiness. Shape platform architecture and collaborate with software, hardware, and systems engineers to deliver reliable end-to-end capabilities.

Design, prototype, and productionize AI/ML systems for defense products: data collection, model integration/serving, evaluation, robustness testing, edge/GPU deployment, monitoring, and lifecycle management while collaborating with product and mission teams.

Develop and deploy applied AI systems: integrate models, build inference and evaluation pipelines, optimize performance for edge and adversarial conditions, create production-quality data and serving software, prototype with mission teams, and ensure reliability through testing, monitoring, and benchmarking.

Design, build, and operate secure, scalable Azure infrastructure and high-performance backend services that ingest, process, and distribute real-time sensor data. Define infrastructure as code, automate deployments, own observability and resiliency, and influence platform architecture. Collaborate with software, hardware, and systems engineers to deliver secure, reliable end-to-end capabilities for mission-critical radar systems.

Design, build, and operate secure, scalable Azure backend services and infrastructure that ingest and distribute real-time sensor data. Implement IaC, automation, observability, and resiliency, collaborate with software/hardware/systems teams, and shape platform architecture for high reliability, low latency, and operational readiness in mission-critical environments.