Software Engineer, II – Autonomy Data

Torc Robotics

Autonomy data engineer building ingestion pipelines, data lakes, and visualization tools for Torc Robotics’ autonomous trucks. Supporting curated datasets and model training for perception, planning, and simulation.

Posted 8/5/2026full-timeRemote • Virginia • 🇺🇸 United StatesJuniorMid-Level💰 $139,000 - $166,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data pipelines, implementing data quality metrics, and utilizing cloud data infrastructure. Proficient in Python and SQL, with a strong understanding of data partitioning strategies and visualization tooling.

Highest-signal resume keywords

Python ProficiencySQL ProficiencyCloud Data Infrastructure (AWS S3, Glue, Athena, Redshift)Data Pipeline DevelopmentData Quality Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData ValidationData Quality MetricsData Partitioning StrategiesTime-Series Data ProcessingColumnar Storage Formats (Parquet, ORC)Monitoring and Lineage TrackingPseudo-Labeling WorkflowsData Lake DesignData Contract Documentation

Soft Skills

CollaborationCommunicationProblem-Solving

Tools & Technologies

TerraformCloudFormationFoxgloveRerunMCAP CLI

Industry Keywords

Data EngineeringAutonomous VehiclesSensor-Driven SystemsData CurationDiversity Sampling

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudPythonSQLTerraform

About the role

Key responsibilities & impact

Contribute to the design and organization of the autonomy program’s data lake, including schema definitions, partitioning strategy, and metadata indexing
Build and maintain reliable end-to-end pipelines ingesting high-bandwidth vehicle sensor logs into cloud storage
Implement data validation and integrity checks for corrupted information, missing sensors, and inconsistent calibration
Implement data retention, tiering, and lifecycle policies
Build tooling to query raw logs and produce curated training and evaluation datasets
Automate cost-effective pseudo-labeling workflows at ingest scale
Implement data quality and model performance metrics to direct labeling effort
Deploy and maintain visualization tooling for log review, annotation QA, and autonomy debugging
Integrate visualization tooling with the data lake to connect dataset entries or model failures to source logs
Define visualization panels and metrics with autonomy engineers
Build dashboards showing data coverage by terrain, operating environment, and geographic region
Establish and document data contracts between data services and model-training consumers
Partner with perception, planning, and embedded engineers across the data lifecycle
Help evolve data engineering standards, best practices, and tooling choices
Contribute to the data roadmap and surface findings to senior technical leadership

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, or a related field with 4+ years of data engineering experience, or a Master’s with 2+ years
Strong proficiency in Python and SQL
Ability to build production-quality data pipelines
Experience with cloud data infrastructure, preferably AWS S3, Glue, Athena, Redshift, or equivalent
Experience with infrastructure-as-code tools such as Terraform or CloudFormation
Understanding of data partitioning strategies and columnar storage formats such as Parquet and ORC
Experience building and operating pipelines processing time-series and binary data
Ability to evaluate and integrate open-source tooling
Experience implementing monitoring, validation, data quality, and lineage tracking
Only U.S. citizens are eligible for this role
Bonus: experience with autonomous vehicles, robotics, or sensor-driven autonomous systems
Bonus: deep experience with Foxglove or Rerun
Bonus: familiarity with MCAP CLI or Python library and MCAP-to-columnar conversion
Bonus: experience with ML data curation, diversity sampling, pseudo-labeling, and dataset versioning

Benefits

Comp & perks

A competitive compensation package that includes a bonus component and stock options
100% paid medical, dental, and vision premiums for full-time employees
401K plan with a 6% employer match
Flexibility in schedule and generous paid vacation (available immediately after start date)
Company-wide holiday office closures
AD+D and Life Insurance
Potential sign-on payments, relocation, and other forms of compensation as part of the total compensation package