Teams at Helm AI

Design, develop, test, and optimize safe, scalable real-time software for production autonomous vehicle systems. Architect continuous learning infrastructure for ML model deployment and monitoring, analyze algorithms, and collaborate with embedded, platform, AI, sensor, and compute teams. Support perception, prediction, and planning integration while contributing to highway and urban autonomous driving capabilities.

Conduct machine learning research operations using existing infrastructure. Evaluate neural network quality, failure modes, and edge cases; coordinate experiments with researchers; manage concurrent projects and deadlines; review results; recommend theoretical and process improvements; and prepare technical reports communicating qualitative and quantitative findings to external audiences.

Develop productionized machine learning workflows, cloud infrastructure, distributed data-processing pipelines, and a multi-tenant data lake for autonomous-driving AI. Build internal APIs, CI/CD processes, and developer productivity tools while collaborating with research engineers. The role requires strong software engineering, DevOps, infrastructure-as-code, microservices, networking, and data infrastructure expertise.