Senior Software Engineer - Platform

Calder • Redwood City, CA

1d

About The Position

Calder is solving the data bottleneck for embodied AI and world models by capturing, processing, and delivering high-fidelity human-generated spatial data at scale. The Senior Software Engineer will architect and scale infrastructure for processing terabytes of 3D data daily, with a focus on reliability, cost efficiency, and fast iteration for engineering teams. The role involves building and operating compute orchestration, storage, scheduling, and monitoring systems, and collaborating with 3DGS, SLAM, QA, and delivery teams to translate workload needs into platform capabilities. The position is part of a small infrastructure engineering team and includes mentoring and continued personal growth.

Requirements

• Large-scale production experience in infrastructure engineering, platform engineering, or MLOps.
• Experience with AWS (ECS, EC2, S3, IAM, VPC, CloudWatch) or an equivalent cloud platform.
• Strong grasp of container orchestration (Docker, ECS, Kubernetes) and compute scheduling.
• Experience managing GPU workloads at scale, such as training, inference, or batch processing.
• Proficiency with infrastructure-as-code tools such as Terraform, Pulumi, or CloudFormation.
• Hands-on experience with pipeline orchestration frameworks such as Dagster, Airflow, Prefect, or similar.
• Strong systems thinking, including designing for reliability, observability, and cost at scale.
• B.S. or M.S. in Computer Science, Software Engineering, or a related field.

Nice To Haves

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

Responsibilities

• Engineer data-processing infrastructure, including compute orchestration, storage, scheduling, and monitoring.
• Design and operate scalable GPU and CPU compute pipelines for 3D workloads such as SLAM, reconstruction, Gaussian Splatting training, and dataset extraction.
• Assist in developing pipeline orchestration systems so workloads run reliably, are observable, and recover gracefully from failures.
• Manage and leverage AWS infrastructure, including ECS/Fargate, EC2 GPU instances, S3, and networking, balancing performance with cost.
• Build and maintain data versioning and lineage infrastructure, such as LakeFS and data lake architecture.
• Contribute to SLAs for data-processing throughput and reliability, and instrument pipelines with metrics and alerting.
• Use infrastructure-as-code practices 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 develop yourself and others within a small infrastructure engineering team.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior