Senior Software Engineer, Robot Data Infrastructure

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

Senior Software Engineer, Robot Data Infrastructure

The Mission

GRAM is a self replication company creating populations of insectoids for the physical economy.

Our first research frontier is self-preservation: the base case of physical self-replication. Our machines will survive, coordinate, and recover without humans. We believe scalable machine labor requires more than single-agent task generality or machines shaped in our image.

About the role

You will build the infrastructure that turns physical operation into reproducible training and evaluation datasets. Your scope begins at the capture contract and spans multimodal ingestion, temporal alignment, provenance, quality controls, storage, dataset construction, replay, and reliable access for training and evaluation.

This is a senior software engineering role responsible for the systems after capture and the contracts that keep recorded experience compatible with downstream use. Success means a model behavior can be traced through its dataset, run, software, calibration, commands, interventions, outcomes, and hardware state—and that dataset revisions remain reproducible rather than becoming ungoverned data volume.

What you will do

• 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.
• 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.

Preferred experience

• Robotics, autonomous vehicles, fleet telemetry, teleoperation, or another embodied-data environment.
• Edge capture in bandwidth-constrained or intermittently connected environments.

The annual base salary range for this Palo Alto position is $190,000–$240,000. Health coverage, benefits, and generous equity come with the role. This role is on-site in Palo Alto. A relocation bonus is available. We hire to start as soon as possible. We review what you’ve shipped; if it’s the caliber we seek, interviews take about a week, start to finish. We treat your work and conversations with discretion.