Implement data validation and integrity checks that can detect corrupted information, missing sensors, and inconsistent calibration prior to the data being processed by downstream systems.
Implement retention, tiering and lifecycle policies for data to balance storage costs with development value.
Dataset Curation and Labeling Infrastructure
Build tooling to query raw logs to produce curated training and evaluation datasets.
Build automation to run cost-effective pseudo-labeling workflows at the scale of data ingest.
Implement data quality and model performance metrics that are used to direct labeling effort toward the highest-value examples.
Autonomy Data Visualization
Deploy and maintain data visualization tooling to support log review, annotation QA, and autonomy debugging workflows.
Build integrations between the visualization tooling and the data lake so engineers can navigate from a dataset entry or model failure directly to the origin log data
Work with autonomy engineers to define and surface custom visualization panels and implement metrics for analyzing unstructured operating environments.
Build dashboards that provide the autonomy engineers visibility into data coverage by terrain type, operating environment and geographic region.
Cross-functional Collaboration
Establish and document data contracts between the data services and model training consumers.
Partner with perception, planning and embedded engineers across the data lifecyle: from shaping the logging schemas and collection triggers to defining the dataset interfaces that supply model training and evaluation.
Follow and help evolve data engineering standards, best practices, and tooling choices for an innovative and fast-paced team.
Contribute to the data roadmap and surface findings to senior technical leadership.
What You'll Need to Succeed
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, with demonstrated ability to build production-quality data pipelines
Experience with cloud data infrastructure (AWS preferred: S3, Glue Athena, redshift, or equivalent) and infrastructure-as-code tools (Terraform, Cloud Formation).
Solid understanding of data partitioning strategies and columnar storage formats (Parquet, Orc, etc.)
Experience building and operating data pipelines that process time-series and binary data.
Proven ability to evaluate and integrate open-source tooling when appropriate versus building from scratch.
Good instincts for delivering data quality through first-class implementations of monitoring, validation and lineage tracking.
Bonus points!
Experience with autonomous vehicles, robotics, or other sensor-driven autonomous systems.
Deep experience with Foxglove or Rerun beyond basic playback, e.g. building custom extensions or integrating them into a structured log review or annotation QA workflow.
Familiarity with the MCAP CLI and/or python library and experience converting MCAP data to columnar data formats for further querying and processing.
Experience with data curation for ML training, e.g. diversity sampling, pseudo-labeling, and dataset versioning.
U.S. Citizenship Requirement
This position requires access to information and systems that are restricted under U.S. law. Accordingly, only U.S. citizens are eligible for this role. This requirement is based on applicable government regulations and is not related to immigration status discrimination.
Perks of Being a Full-time Torc’r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
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
At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: R-102913
Hiring Range for Job Opening
US Pay Range
$139,000—$166,800 USD
