Teams at Parallel Systems

Design, build, and operate scalable MLOps infrastructure for data ingestion, distributed training, deployment, CI/CD, experiment tracking, and monitoring across cloud R&D and production. Collaborate with ML, autonomy, robotics, and software teams to deliver architecture, PoCs, and production-ready ML pipelines that support real-time, safety-critical systems.

Lead and coordinate cross-functional execution across hardware, firmware, and software for autonomous rail vehicles. Maintain the integrated master schedule, track milestones and risks, drive resolution of blockers, align requirements across teams, facilitate planning and reporting, and support vehicle and software integration and releases to ensure on-time delivery.

Design, develop, and maintain test frameworks and hardware test stands for autonomous rail vehicles; manage CI pipelines, internal tooling, and documentation; guide testing strategy, mentor engineers, and occasionally lead projects to ensure regulatory and safety compliance.