Software Engineer II, Data Labeling

Woven; Ann Arbor, Northern (MI, KY); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health coverage

Family benefits

Job summary

Woven by Toyota’s Data & Labeling Services (DLS) team in Ann Arbor is seeking a software engineer to build and operate scalable production pipelines that turn autonomous vehicle sensor data into high-value labels with HD map features for ML models. You’ll own data engineering, workflows, and data quality, collaborating with ML, perception, and data teams.

Ideal candidates have 3+ years of backend and data pipeline experience, strong Python and SQL, Git, and AWS, plus Docker and CI/CD.

Qualifications

• Bachelor's degree in CS, Engineering, or related field, or equivalent practical experience.
• 3+ years of professional software development building backend services and data pipelines.
• Strong proficiency in Python and basic knowledge of SQL.
• Growth-oriented mindset and problem-solving ability.
• Proficiency with Git for version control in a collaborative workflow.
• Experience with cloud infrastructure, preference for AWS, plus Docker and CI/CD (GitHub Actions).
• Demonstrated passion for backend software development and data engineering.

Responsibilities

• Data and pipeline engineering: build and optimize end-to-end data pipelines ingesting real vehicle data and localizing against HD maps.
• Learn to build and maintain workflow orchestration for long-running production jobs, focusing on reliability and efficiency.
• Collaborate on designing clean data models, schemas, and tooling for accessible insights.
• Quality, testing and operations: apply robust testing strategies across data pipelines (unit/integration/regression).
• Participate in root-cause analysis for pipeline issues to ensure system health and smooth releases.
• Work with ML/robotics/data engineers, annotators, PMs, and map vendors to align on workflows and requirements.
• Take ownership of end-to-end features from design to release.

Skills

Python

SQL

Git

AWS

Docker

CI/CD

Data pipelines

Backend services

Communication

Education

Bachelor's degree in CS/Engineering

Tools

GitHub Actions

PostgreSQL

Job description

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.

TEAM

The Data & Labeling Services (DLS) team within AD/ADAS at Woven by Toyota generates, validates, and delivers structured, high-quality offline perception and map data. This data supports autonomy development, evaluation, and training through efficient auto-labeling, rigorous quality assurance, and actionable data science insights. The candidate will join the Label Production team and collaborate closely with perception and ML teams across Woven.

WHO ARE WE LOOKING FOR?

We are looking for a curious and motivated software engineer who is excited to help build and operate scalable production pipelines that turn autonomous vehicle sensor data into high-value labels with high-definition map features for cutting-edge ML models. If you are naturally inquisitive, eager to learn, independent yet deeply collaborative, and passionate about technology’s potential, you will thrive here. You will work at the intersection of data engineering, workflow orchestration, and geospatial algorithms, owning components end-to-end while learning alongside experienced perception, ML, and data teams. We value a strong growth mindset and team-first attitude over a set number of years on a resume.

RESPONSIBILITIES

Data and pipeline engineering

Contribute to building and optimizing end-to-end data pipelines that ingest real vehicle data and localize it against HD maps.

Learn to build and maintain workflow orchestration for long-running production jobs, focusing on reliability and efficiency.

Collaborate on designing clean data models, schemas, and tooling that enable adjacent teams to access insights easily.

Quality, testing, and operations

Learn and apply robust testing strategies across data pipelines, including unit, integration, and regression testing.

Participate in root-cause analysis for pipeline issues, helping ensure system health and smooth releases.

Work closely with ML/robotics/data engineers, data annotators, product managers, and map vendors to align on workflows and requirements.

Take ownership of end-to-end features, from initial technical design to documentation and release.

MINIMUM QUALIFICATIONS

Bachelor's degree in Computer Science, Engineering, or a related field (MS/PhD preferred but not required), or equivalent practical experience.

3+ years of professional software development experience building backend services and data pipelines.

Strong proficiency in Python and basic knowledge of SQL.

Strong problem-solving ability and an eager, growth-oriented mindset.

Proficiency with Git for version control in a collaborative, review-based workflow.

Experience with cloud infrastructure, with a preference for AWS, plus Docker and CI/CD systems such as GitHub Actions.

Demonstrated passion for backend software development and data engineering.

Great team player with solid written and verbal communication skills.

NICE TO HAVES

Background or strong interest in autonomous driving, robotics, or geospatial mapping technologies.

Hands-on experience with geospatial data formats (e.g., GeoPackage), spatial indexing (e.g., KD-trees), desktop GIS tools (e.g., QGIS), and relational databases (e.g., PostgreSQL).

Understanding of 3D geometric coordinate transformations, spatial data processing, and 3D visualization.

Familiarity with multimodal 3D sensor modalities and calibration techniques (e.g., Cameras, LiDAR, IMU).

Enthusiasm for leveraging AI-assisted development tools (e.g., Copilot, Cursor, Claude Code) to accelerate developer velocity.

WHAT WE OFFER

• Excellent health, wellness, dental and vision coverage
• Family planning and care benefits

Our Commitment

• We are an equal opportunity employer and value diversity.
• Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.