SeniorSoftwareEngineer-Platform

About us: Calder is solving the data bottleneck for embodied AI and world models. Today's AI models lack the real-world, 4D data needed to reason on spatial problems and operate in physical environments. We capture, process, and deliver high-fidelity human-generated spatial data at scale, providing the substrate that trains the next generation of generalizable models for manipulation, navigation, and interaction. About the Role: You'll architect and scale the infrastructure that processes terabytes of 3D data daily, ensuring reliability, cost efficiency, and fast iteration for the engineering teams that depend on it. - Engineer Calder's data processing infrastructure — compute orchestration, storage, scheduling, and monitoring - Design and operate scalable GPU and CPU compute pipelines for 3D data processing workloads (SLAM, reconstruction, Gaussian Splatting training, dataset extraction) - Assist in the development of pipeline orchestration systems, ensuring workloads run reliably, are observable, and recover gracefully from failures - Manage and leverage cloud infrastructure (AWS) including ECS/Fargate, EC2 GPU instances, S3, and networking — balancing performance with cost - Build and maintain data versioning and lineage infrastructure (e.g., LakeFS, data lake architecture) - Contribute to SLAs for data processing throughput and reliability; instrument pipelines with metrics and alerting - Utilize infrastructure-as-code practices (Terraform) and CI/CD for infrastructure changes - Collaborate with 3DGS, SLAM, QA, and delivery teams to understand workload requirements and translate them into platform capabilities - Mentor and grow yourself and others in a small infrastructure engineering team About you: - Large scale production experience in infrastructure engineering, platform engineering, or MLOps. - Experience with AWS (ECS, EC2, S3, IAM, VPC, CloudWatch) or equivalent cloud platform - Strong grasp of container orchestration (Docker, ECS, Kubernetes) and compute