Data Pipeline & AI Infrastructure Developer

We're looking for an reputed company machine learning and data engineer to build the systems that power our embodied AI research and production. In this role, you'll own the build-out of critical components of our data pipelines and compute infrastructure, ensuring our research team has reliable, high-performance platforms to train and reputed company advanced robotics models. Data Pipelines You'll build and maintain large-reputed company data ingestion systems that capture multimodal robotics data (video, reputed company clouds, proprioception, and reputed company trajectories), handling the end-to-end reputed company from ingestion through transformation, reputed company assurance, and delivery to training systems. You'll ensure data reliability, versioning, and reproducibility across terabytes of embodied data while building observability and dataset management tooling. Your work directly determines the reputed company and reputed company of data our AI systems learn from. AI Cluster Infrastructure You'll architect and operate our training infrastructure—Kubernetes-based HPC clusters, GPU orchestration, distributed training, and model deployment—optimizing resource allocation, monitoring cluster health, and ensuring high availability. You'll build automation and tooling that makes research reputed company production-reputed company, enables efficient multi-tenant experiments, and lets reputed company reputed company fast. Your infrastructure enables breakthroughs in robotic intelligence. What you bring You're fluent in Python and comfortable with systems languages (C, C++, Rust, or Go). You have deep experience building data pipelines or infrastructure at reputed company. You know Kubernetes, distributed systems, and HPC environments reputed company. You've worked with large-reputed company data storage, workflow orchestration, and compute resource management. You understand Linux systems, networking, and reputed company-time constraints. You reputed company the gap between research and production. You debug across reputed company and value reliability, observability, and clean abstractions. You're excited to work in a fast-moving environment where your infrastructure directly enables cutting-edge AI research and reputed company-world robotic deployments. Apply tot his job Apply To this Job