Senior Software Engineer - Platform

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

Software Engineering, Training/Teaching, Spatial Data, Artificial Intelligence (AI), Data Processing, CPU (Central Processing Unit), Data Sets, GPU (Graphics Processing Unit), Sales Pipeline, Amazon Simple Storage Service (S3), * 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 scheduling
• Experience managing GPU workloads at scale (training, inference, or batch processing)
• Proficiency with infrastructure-as-code (Terraform, Pulumi, or CloudFormation)
• Hands-on experience with pipeline orchestration frameworks (Dagster, Airflow, Prefect, or similar)
• Strong systems thinking - you understand how to design for reliability, observability, and cost at scale
• B.S. or M.S. in Computer Science, Software Engineering, or a related field

Even better:

• Experience with data versioning systems (LakeFS, DVC, Pachyderm)
• Background in 3D data processing, computer vision, or robotics infrastructure
• Familiarity with medallion / data lake architectures (bronze silver gold)
• Experience with Datadog, OpenTelemetry, or similar observability stacks
• Knowledge of cost optimization strategies for GPU compute (spot instances, right-sizing, scheduling)
• Experience with high-throughput data pipelines processing TB-scale sensor data
• Contributions to open-source infrastructure tooling

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.