Autonomy Data Engineer — Sensor Data Pipelines

Humble Robotics; San Francisco (CA); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Equity

Medical coverage

Vacation policy

In-office SF environment

SF office collaboration

Job summary

Humble Robotics seeks an engineer to join the autonomy team and build data systems that turn sensor recordings into reliable datasets for model training, evaluation, and debugging. You will work with ML and vehicle software engineers to ingest, process, and enrich data across ingestion, processing, and tooling.

The role emphasizes building robust pipelines, data quality, and tooling to support ongoing autonomous truck development.

Qualifications

• Strong Python and software fundamentals; write, test, and debug code.
• Hands-on work with robotics, autonomous vehicles, or sensor-based systems.
• Experience building software to process and organize data with emphasis on correctness.
• Ability to break down open-ended problems, progress independently, and seek help when needed.
• Curiosity about how data supports autonomy development and practical system reliability.
• Eligibility to work in the United States.

Responsibilities

• Build data workflows behind model development, evaluation, and iteration.
• Ingest, validate, and organize vehicle sensor recordings in the data lake.
• Develop processing workflows to enrich raw recordings with signals and labels.
• Create tools to assemble and load datasets for ML training and debugging.
• Run backfills and reprocessing as algorithms evolve.
• Evolve schemas and migrations to keep data usable.
• Investigate data quality issues and performance bottlenecks.
• Collaborate with autonomy teammates to meet data needs.

Skills

Python

Robotics/AV

Data processing

Software fundamentals

Problem solving

Independent work

Code reviews

Tools

Bazel

Cloud storage

Job description

Humble Robotics seeks an engineer to join the autonomy team and build data systems that turn sensor recordings into reliable datasets for model training, evaluation, and debugging. You will work with ML and vehicle software engineers to ingest, process, and enrich data across ingestion, processing, and tooling.

The role emphasizes building robust pipelines, data quality, and tooling to support ongoing autonomous truck development.