Staff Software Engineer, Analytics Platform

Company: Zoox
Location: Seattle
Posted on: June 2, 2025

Job Description:

Zoox is transforming transportation with a mission to build autonomous robotaxis from the ground up-delivering a safer, cleaner, more reliable, and enjoyable future for all.The Analytics Platform, established in late 2024 as part of the Data Infrastructure team, has been redefining the foundation of data analysis and metrics to enable machine learning, data science, engineering, and safety analysis with modern big data technologies. The team has been developing Zoox's schedule-based and event-based data processing platforms, using technology such as AWS, Databricks, Spark, Parquet, and DuckDB, for multiple teams to transform several PBs of structured data into more efficient and queryable data formats.By joining this team, you'll collaborate with a world-class group of software engineers to tackle complex challenges at the scale of hundreds of petabytes of data, pushing the boundaries of what's possible in autonomous transportation.In this role, you will:

• Develop features for Zoox's event-based processing framework to process a large volume of data with complex dependencies.
• Develop features for the schedule-based processing framework, which is built on top of Airflow, Spark, AWS EMR, and DuckDB.
• Build up system observability for performance and reliability monitoring and success measurement.
• Analyze and optimize the latency and resource efficiency of the infrastructure you will develop.
• Collaborate with cross-functional teams-including software engineers, data engineers, and TPMs-to gather requirements, design robust architectures, and implement effective solutions.Qualifications:
  • 7+ years of industry experience in software engineering
  • Strong background in Python and Spark for large-scale data processing
  • A key contributor to the architecture and implementation of event-based or stream processing projects
  • Experience with AWS services, especially S3 and ECS
  • Experience with Databricks and Apache AirflowBonus Qualifications:
    • Working knowledge of C++CompensationThere are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $215,000 to $300,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
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Keywords: Zoox, Tacoma , Staff Software Engineer, Analytics Platform, IT / Software / Systems , Seattle, Washington