Labeling Backend Software Engineer (Python)

Location: Austin, Texas; onsite. Candidates must be authorized to work in the U.S. Remote work is not available. Relocation and visa sponsorship are not offered.

Company

hirify.global develops and deploys self-driving cars and delivery robots for autonomous mobility, transportation, and logistics.

What you will do

• Design, build, deploy, monitor, and own Python backend services, APIs, databases, and data infrastructure for the full lifecycle of labeled data.
• Build and scale data preparation and labeling pipelines that transform massive lidar, camera, and radar streams into label-ready formats.
• Manage automated and human-in-the-loop annotation workflows using modern orchestration frameworks.
• Develop integrations with external vendors and internal tools to connect labeling workflows and feedback.
• Build automated validation and QA systems to protect dataset integrity, monitor quality, and surface performance insights.
• Partner with ML and Perception teams, lead technical design, review code, and mentor engineers while integrating ML automation to improve labeling efficiency.

Requirements

• 4+ years of professional software engineering experience building and operating backend services in production; internships and academic projects do not count.
• Experience owning services end-to-end, including design, implementation, deployment, monitoring, and on-call.
• Strong proficiency in Python, backend frameworks, and asynchronous stacks including asyncio, aiohttp, and FastAPI.
• Production experience with relational databases, preferably PostgreSQL, including schema design, query optimization, ORMs such as SQLAlchemy or Django ORM, and migrations such as Alembic.
• Solid grounding in system design, algorithms, and data structures applied to real systems at scale.
• Hands-on production experience with cloud platforms, Docker, Kubernetes, and cloud object storage such as AWS S3 or GCS.
• Authorization to work in the U.S.
• This role is not suited for new graduates or internship candidates.

Nice to have

• Experience with workflow orchestration tools such as Argo or Airflow.
• Experience with large-scale distributed systems or products.
• Experience with big data and distributed data-processing tools such as Spark or PyArrow.
• Experience working with 3D sensor data, point clouds, or sensor fusion.
• Previous experience in autonomous vehicles, robotics, or ML-heavy environments.
• C++ development experience.

Culture & Benefits

• Hands-on individual contributor role focused primarily on designing, writing, and shipping code.
• Work on autonomous mobility, perception, and machine-learning infrastructure.
• Equal opportunity employment and reasonable accommodations are available for qualified applicants and employees with disabilities.
• On-call responsibility is part of end-to-end service ownership.