Job Title: Software Engineer - Labeling Backend team
Location: Austin, TX
Salary Range: 125K-160K base salary + annual bonus 
Job Type: Direct Hire

Job Overview

A leading autonomous mobility company is seeking a Software Engineer to join the Labeling Backend team. In this role, you will design, build, and scale backend services that handle massive datasets for perception ML pipelines. You will work across APIs, data ingestion pipelines, databases, and orchestration frameworks to ensure reliable, high-throughput, and maintainable systems, enabling rapid iteration on cutting-edge autonomous technologies.

What You'll Do

• Design, develop, and own backend systems that manage the full lifecycle of labeled data—from ingestion to delivery—including core Python services, APIs, and databases.
• Build and scale data preparation and labeling pipelines to transform massive sensor streams (lidar, camera, radar) into label-ready formats and manage annotation workflows at scale, leveraging both automated and human labeling with modern orchestration frameworks.
• Design and implement robust integrations with external vendors and internal tools to ensure seamless data and feedback flow across labeling workflows.
• Develop automated validation and QA systems to safeguard dataset integrity, monitor quality, and surface key performance insights.
• Collaborate with ML and Perception teams to translate evolving requirements into scalable data solutions that directly drive model improvements.
• Boost human labeling efficiency by integrating ML automation into annotation workflows.

What You’ll Need

• Bachelor's degree in Computer Science, Engineering, or related field, and 3+ years equivalent experience
• Solid understanding of algorithms, data structures, and system design
• Strong proficiency in Python, including backend frameworks and asynchronous stacks (asyncio, aiohttp, FastAPI)
• Expertise with relational databases (preferably PostgreSQL): schema design, query optimization, ORMs (e.g., SQLAlchemy, Django ORM), and migrations (e.g., Alembic)
• Familiarity with cloud platforms and containerization (Docker, Kubernetes)
• Hands-on experience with cloud object storage (AWS S3, GCS, etc.)

Nice to Have

• Experience with workflow orchestration (Argo, Airflow, etc.)
• Experience in large-scale distributed systems or products
• Big-data / distributed data-processing tooling (Spark, PyArrow, etc.)
• Experience working with 3D sensor data (point clouds, sensor fusion, etc.)
• Previous work in AV, robotics, or ML-heavy environments
• C++ development experience

Benefits

• Employer-subsidized healthcare (medical, dental, vision)

• Pre-tax commuter benefits

• Flexible Spending Account (FSA)

• Employer-covered disability and life insurance

• 401(k) retirement plan

• Generous PTO

• Covered lunches and more