Senior Robotics Data Infrastructure Engineer

GRAM; Palo Alto (CA); On-site; USD 190,000 - 240,000; Full time

Benefits offered by this job

Health coverage

Equity

Relocation bonus

Job summary

GRAM is seeking a Senior Software Engineer to build the robot data infrastructure that turns physical operation into reproducible training datasets. You will own end-to-end systems from capture through to training and evaluation, ensuring traceability of datasets to hardware state and software configurations.

You will design and enforce versioned schemas, lineage, and quality controls, while enabling scalable storage, ingestion, and replay for multimodal data across video, sensors, and events.

Qualifications

• Bachelor's degree in computer science, electrical engineering, applied mathematics, or a related field, 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 against defined throughput, freshness, data-integrity, or reliability targets, including schema evolution, orchestration, and safe backfills.
• Direct experience preserving provenance and temporal relationships across video, time-series, sensor, event, or other multimodal data.
• Demonstrated ownership of a production pipeline incident that caused silent data loss, corrupt data, or an unavailable downstream dataset, including detection, root cause, recovery or backfill, and a test or monitor that prevented recurrence.

Responsibilities

• Build reliable ingestion and processing systems for synchronized video, sensor, command, capture-device state, intervention, outcome, and machine-health data.
• Define versioned schemas and lineage connecting every run to its robot configuration, calibration, software, model, operator protocol, and experiment.
• Develop automated checks for time drift, missing streams, corruption, calibration faults, schema breaks, weak coverage, and silent data loss.
• Build systems for indexing, filtering, sampling, curation, dataset versioning, replay, and delivery into training and evaluation workflows.
• Instrument the edge-to-training path with service-level metrics, traceability, failure isolation, and safe reprocessing.
• Design storage and compute paths that support large multimodal records without losing reproducibility or making iteration dependent on manual recovery.
• Use training and evaluation evidence to revise capture contracts, quality thresholds, dataset composition, and retention policy.

Skills

Python

C++

Rust

Java

Go

Education

Bachelor's degree or equivalent

Tools

Object storage

Streaming systems

Job description

GRAM is seeking a Senior Software Engineer to build the robot data infrastructure that turns physical operation into reproducible training datasets. You will own end-to-end systems from capture through to training and evaluation, ensuring traceability of datasets to hardware state and software configurations.

You will design and enforce versioned schemas, lineage, and quality controls, while enabling scalable storage, ingestion, and replay for multimodal data across video, sensors, and events.