Senior Software Engineer, Robotic Data Infrastructure

GRAM; San Francisco (CA); On-site; USD 190,000 - 240,000; Full time

Job summary

GRAM is building a new class of machines and infrastructure to turn physical operation into reproducible training datasets. You will own the systems after capture, ensuring datasets remain traceable to robot configuration, calibration, software, and experiments.

This senior software engineering role focuses on ingestion, schema evolution, and reliable data pipelines that support multimodal records and downstream training and evaluation.

Qualifications

• Minimum: Bachelor's degree in computer science, electrical engineering, applied mathematics, or equivalent practical experience.
• Strong Python programming ability and working proficiency in C++, Rust, Java, or Go.
• Experience operating object-storage and streaming or batch-processing systems with defined throughput and reliability targets.
• Direct experience preserving provenance and temporal relationships across multimodal data.
• Ownership of a production pipeline incident involving silent data loss or corrupted data.

Responsibilities

• Build ingestion and processing systems for synchronized video, sensors, and machine-health data.
• Define versioned schemas and lineage for runs, robot config, software, and experiments.
• Create automated checks for time drift, missing streams, and data corruption.
• Develop indexing, sampling, curation, versioning, replay, and delivery to training.
• Instrument edge-to-training paths with metrics, traceability and safe reprocessing.
• Design storage/compute paths for large multimodal data with reproducibility.
• Use evidence to revise capture contracts, quality thresholds, and retention rules.

Skills

Python

C++

Rust

Java

Go

Education

Bachelor's degree in CS or related field

Job description

GRAM is building a new class of machines and infrastructure to turn physical operation into reproducible training datasets. You will own the systems after capture, ensuring datasets remain traceable to robot configuration, calibration, software, and experiments.

This senior software engineering role focuses on ingestion, schema evolution, and reliable data pipelines that support multimodal records and downstream training and evaluation.