Software Engineer, Analytics Platform

23 Minutes ago • 2 Years + • $147,000 PA - $198,000 PA

Job Summary

Job Description

Zoox is building autonomous robotaxis. The Analytics Platform team, part of Data Infrastructure, develops schedule-based and event-based data processing platforms using technologies like AWS, Databricks, Spark, Parquet, and DuckDB. This role involves collaborating with software engineers to solve complex challenges with petabytes of data, pushing the boundaries of what’s possible in autonomous transportation, and contributing to a safer, cleaner, and more reliable future for all.
Must have:
  • 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 built on top of Airflow, Spark, AWS EMR, and DuckDB
  • Optimize the data infrastructure configurations to balance the performance, scalability, and cost efficiency
  • Investigate the stability, performance, and scalability issues in data ingestion and processing platforms
  • Work closely with Staff and Senior engineers inside and outside the organization to understand the user pain points and define solutions
  • Bachelor’s or Master’s in Computer Science or related fields with 2+ years of industry experience in software engineering
  • Strong programming skills, especially in Python for large-scale data processing
  • Good understanding of big data systems
  • Experience in using cloud services, such as AWS, GCP, or Azure
Perks:
  • Amazon Restricted Stock Units (RSUs)
  • Zoox Stock Appreciation Rights
  • Sign-on bonus (may be offered)
  • Paid time off (sick leave, vacation, bereavement)
  • Unpaid time off
  • Health insurance
  • Long-term care insurance
  • Long-term and short-term disability insurance
  • Life insurance

Job Details

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.\n\nThe 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.\n\nBy 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.\n\n### In this role, you will:\n\n* Develop features for Zoox’s event-based processing framework to process a large volume of data with complex dependencies\n* Develop features for the schedule-based processing framework built on top of Airflow, Spark, AWS EMR, and DuckDB\n* Optimize the data infrastructure configurations to balance the performance, scalability, and cost efficiency\n* Investigate the stability, performance, and scalability issues in data ingestion and processing platforms\n* Work closely with the Staff and Senior engineers inside and outside the organization to understand the user pain points and define solutions\n\n### Qualifications:\n\n* Bachelor’s or Master’s in Computer Science or related fields with 2+ years of industry experience in software engineering\n* Strong programming skills, especially in Python for large-scale data processing\n* Good understanding of big data systems\n* Experience in using cloud services, such as AWS, GCP, or Azure\n\nBase Salary Range\n\nThere are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. 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.\n\nZoox 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.\n\nAbout Zoox\n\nZoox 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.\n\nAccommodations\n\nIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.\n\nA Final Note:\n\nYou 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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About The Company

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.

Foster City, California, United States (On-Site)

Foster City, California, United States (Hybrid)

Foster City, California, United States (Hybrid)

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Foster City, California, United States (On-Site)

Foster City, California, United States (On-Site)

Foster City, California, United States (On-Site)

Foster City, California, United States (On-Site)

Foster City, California, United States (Hybrid)

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