{"schemaVersion":"jobsearcher.job.v1","id":"dd19e59a0aefa3b5229f4d24","url":"https://jobsearcher.com/jobs/dd19e59a0aefa3b5229f4d24","canonicalUrl":"https://jobsearcher.com/jobs/dd19e59a0aefa3b5229f4d24","title":"Labeling Backend Software Engineer","description":"About team\nAvride is at the forefront of autonomous mobility, developing and deploying state-of-the-art self-driving cars and delivery robots. We're shaping the future of transportation and logistics—and our Labeling Team plays a vital role in bringing that vision to life.\nThe Labeling Backend Team builds the data infrastructure that powers groundbreaking research and development across our labeling pipelines, data preparation workflows, and model training processes. The high-quality labeled data we deliver is critical to advancing our core technologies and supports the diverse range of models that drive our entire business.\nAbout the Role\nAs a Software Engineer on the Labeling Backend team, you will design, build, and scale backend systems that produce the large-scale datasets powering our perception and machine-learning pipelines. You'll work across data platforms, orchestration, and backend services to enable rapid iteration on cutting-edge autonomous systems.\nWhat You'll Do\nDesign, develop, and own backend systems that manage the full lifecycle of labeled data—from ingestion to delivery—including core Python services, APIs, and databases.\nBuild 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.\nDesign and implement robust integrations with external vendors and internal tools to ensure seamless data and feedback flow across labeling workflows.\nDevelop automated validation and QA systems to safeguard dataset integrity, monitor quality, and surface key performance insights.\nCollaborate with ML and Perception teams to translate evolving requirements into scalable data solutions that directly drive model improvements.\nBoost human labeling efficiency by integrating ML automation into annotation workflows.\nWhat You'll Need\nBachelor's degree in Computer Science, Engineering, or related field, and 3+ years equivalent experience\nSolid understanding of algorithms, data structures, and system design\nStrong proficiency in Python, including backend frameworks and asynchronous stacks (asyncio, aiohttp, FastAPI)\nExpertise with relational databases (preferably PostgreSQL): schema design, query optimization, ORMs (e.g., SQLAlchemy, Django ORM), and migrations (e.g., Alembic)\nFamiliarity with cloud platforms and containerization (Docker, Kubernetes)\nHands-on experience with cloud object storage (AWS S3, GCS, etc.)\nNice to Have\nExperience with workflow orchestration (Argo, Airflow, etc.)\nExperience in large-scale distributed systems or products\nBig-data / distributed data-processing tooling (Spark, PyArrow, etc.)\nExperience working with 3D sensor data (point clouds, sensor fusion, etc.)\nPrevious work in AV, robotics, or ML-heavy environments\nC++ development experience\nCandidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.","company":"Avride","rawCompany":"avride","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-04-12T18:34:57.799Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Labeling Backend Software Engineer","description":"About team\nAvride is at the forefront of autonomous mobility, developing and deploying state-of-the-art self-driving cars and delivery robots. We're shaping the future of transportation and logistics—and our Labeling Team plays a vital role in bringing that vision to life.\nThe Labeling Backend Team builds the data infrastructure that powers groundbreaking research and development across our labeling pipelines, data preparation workflows, and model training processes. The high-quality labeled data we deliver is critical to advancing our core technologies and supports the diverse range of models that drive our entire business.\nAbout the Role\nAs a Software Engineer on the Labeling Backend team, you will design, build, and scale backend systems that produce the large-scale datasets powering our perception and machine-learning pipelines. You'll work across data platforms, orchestration, and backend services to enable rapid iteration on cutting-edge autonomous systems.\nWhat You'll Do\nDesign, develop, and own backend systems that manage the full lifecycle of labeled data—from ingestion to delivery—including core Python services, APIs, and databases.\nBuild 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.\nDesign and implement robust integrations with external vendors and internal tools to ensure seamless data and feedback flow across labeling workflows.\nDevelop automated validation and QA systems to safeguard dataset integrity, monitor quality, and surface key performance insights.\nCollaborate with ML and Perception teams to translate evolving requirements into scalable data solutions that directly drive model improvements.\nBoost human labeling efficiency by integrating ML automation into annotation workflows.\nWhat You'll Need\nBachelor's degree in Computer Science, Engineering, or related field, and 3+ years equivalent experience\nSolid understanding of algorithms, data structures, and system design\nStrong proficiency in Python, including backend frameworks and asynchronous stacks (asyncio, aiohttp, FastAPI)\nExpertise with relational databases (preferably PostgreSQL): schema design, query optimization, ORMs (e.g., SQLAlchemy, Django ORM), and migrations (e.g., Alembic)\nFamiliarity with cloud platforms and containerization (Docker, Kubernetes)\nHands-on experience with cloud object storage (AWS S3, GCS, etc.)\nNice to Have\nExperience with workflow orchestration (Argo, Airflow, etc.)\nExperience in large-scale distributed systems or products\nBig-data / distributed data-processing tooling (Spark, PyArrow, etc.)\nExperience working with 3D sensor data (point clouds, sensor fusion, etc.)\nPrevious work in AV, robotics, or ML-heavy environments\nC++ development experience\nCandidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.","datePosted":"2026-04-12T18:34:57.799Z","dateModified":"2026-04-12T18:34:57.799Z","hiringOrganization":{"@type":"Organization","name":"Avride","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"dd19e59a0aefa3b5229f4d24"},"url":"https://jobsearcher.com/jobs/dd19e59a0aefa3b5229f4d24"}}