Sr. Data Infrastructure & Quality Engineer

At Ouster, we are pioneering the future of Physical AI. Our advanced vision algorithms and cutting-edge sensor hardware power the next generation of autonomous systems - from robots to smart infrastructure - building a safer and more efficient world. The Sr. Data Infrastructure / Quality Engineering role will play a crucial part in architecting, building, and validating the cloud infrastructure and data loops that power our products for autonomy and physical AI customers from the ground up. You will build the foundation for scalable pipelines capable of handling the massive and chaotic nature of LiDAR data, along with multimodal field data ranging from raw multi-camera streams to GNSS/RTK, IMU, and vehicle odometry.  The Industrial Autonomy team is looking for a self-starter who can independently drive complex data systems from conception to completion with a high degree of autonomy, transforming raw, multi-sensor streams into robust, reproducible training datasets for our AI pipelines.ResponsibilitiesDesign and develop robust cloud infrastructure, storage systems, and automated testing frameworks for AI training datasets and machine learning pipelinesOwn data infrastructure from concept through prototype architecture, data quality validation, and production-scale releaseExperience architecting and validating data lakehouse/warehouse systems, feature stores, and automated data governance frameworks to ensure data lineage, security, and reproducible training datasetsPartner with SW and ML engineers to build and optimize sensor data ingestion, model/data/label versioning systems, cloud orchestration, and high-throughput pipeline architecturesDevelop automated data validation scripts, core ETL pipelines, infrastructure-as-code (IaC), and comprehensive regression testing suitesSupport pipeline deployments, continuous architectural iteration, and root cause analysis for data corruption, pipeline bottlenecks, or infrastructure failuresSupport data-tooling integration, automated data labeling workflows, and third-party vendor integration testingContribute to pilot data deployments and field telemetry loops, incorporating learnings into future architectural designs Qualifications8+ years of experience designing, building, and validating scalable cloud infrastructure and data pipelinesExperience building and testing data systems to enterprise-grade standards capable of processing massive, unstructured datasets at a production scaleExtensive knowledge of modern data infrastructure, cloud platforms, and data quality validation frameworksExperience ramping at least one core data platform from initial prototype to production release + supporting its long-term stability  Preferred experience Direct experience with autonomy, robotics, industrial equipment, or automotive data loops, specifically handling massive streams of multimodal vehicle telemetry and sensor dataExperience building and validating active learning pipelines, continuous training infrastructure, and automated data curation systemsExperience with data governance, safety-critical data validation frameworks, or compliance standards for autonomous systemsExperience deploying and optimizing high-performance GPU cloud inference services, with specific expertise utilizing the NVIDIA architecture (e.g., Triton)Experience collaborating with data labeling services, including internal labeling, third-party labeling vendors, and integrating external annotation servicesThe base pay will be dependent on your skills, work experience, location, and qualifications. This role may also be eligible for equity & benefits. ($140,000 - $ 200,000)We acknowledge the confidence gap at Ouster. You do not need to meet all of these requirements to be the ideal candidate for this role.Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know.