Education: Bachelor's degree or related field
Experience: 3+ years
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Design, build, and maintain production data pipelines for robot telemetry, logs, sensor data, and operational events.
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Build reliable ingestion, transformation, and orchestration workflows using tools such as Airflow.
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Develop backend services, APIs, and internal tools that make data accessible to engineering, ML, analytics, and operations teams.
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Work with cloud infrastructure on AWS, including object storage, compute, databases, queues, and data processing services.
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Improve pipeline reliability through monitoring, retries, backfills, schema validation, and data quality checks.
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Collaborate with robotics, autonomy, infrastructure, and deployment teams to support real-world robot operations.
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Help scale data systems for growing fleets and increasingly large datasets.
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Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
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3+ years of experience in data engineering, backend engineering, infrastructure, or platform engineering.
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Strong software engineering skills, preferably in Python.
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Experience building and operating data pipelines in production.
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Familiarity with Airflow or similar workflow orchestration tools.
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Experience with AWS services such as S3, Lambda, ECS, EC2, RDS, Redshift, Glue, Athena, SQS, or related systems.
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Good understanding of testing, monitoring, debugging, and incident response for production systems.
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Ability to work across teams and translate messy real-world data problems into reliable systems.
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Experience with AWS CDK, Terraform, CloudFormation, or other infrastructure-as-code tools.
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Experience with Kubernetes, including deploying, operating, or debugging workloads in production clusters.
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Experience with robotics, autonomy, IoT, fleet telemetry, time-series data, or sensor-heavy systems.
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Experience with data lake or warehouse systems such as Redshift, Snowflake, BigQuery, Databricks, or Athena.
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Familiarity with CI/CD and modern DevOps practices.
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu
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