Software Engineer, Analytics Platform
Company: Zoox
Location: Seattle
Posted on: April 1, 2026
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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 data analysis and
metrics infrastructure to enable machine learning, data science,
engineering, and safety analysis using modern big data
technologies. The team has been developing Zoox's schedule-based
and event-based data processing platforms, using technologies such
as Spark (AWS EMR) and DuckDB, enabling multiple teams to transform
several PBs of structured data into more efficient, queryable
formats. The team is also reshaping Zoox's data discovery system,
making it easier for engineers, analysts, and data scientists
across the company to find, understand, and trust the data they
depend on. 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 the schedule-based
processing framework built on top of Airflow, AWS EMR, and DuckDB.
Improve the stability, performance, and scalability of our data
ingestion and processing platforms as we scale our geofence and
robotoxi deployment. Collaborate with cross-functional teams, such
as software engineers, data scientists, data engineers, and TPMs,
to gather requirements, design robust architectures, and implement
effective solutions. Partner with Staff and Senior engineers inside
and outside the organization to translate user pain points into
concrete technical solutions and roadmap items. Enhance system
observability by building monitoring and alerting tools to track
performance and measure success. Qualifications Bachelor's or
Master's in Computer Science or related fields with 4 years of
industry experience in software engineering Strong background in
Python for large-scale data processing Familiarity with large-scale
data processing systems like Spark, Trino, and DuckDB Experience in
using cloud services, such as AWS, GCP, or Azure Strong experience
in troubleshooting data pipeline failures and optimizing pipeline
performance and cost efficiency $175,000 - $230,000 a year Base
Salary Range There 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. 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.
We may use artificial intelligence (AI) tools to support parts of
the hiring process, such as reviewing applications, analyzing
resumes, or assessing responses. These tools assist our recruitment
team but do not replace human judgment. Final hiring decisions are
ultimately made by humans. If you would like more information about
how your data is processed, please contact us.
Keywords: Zoox, Redmond , Software Engineer, Analytics Platform, Engineering , Seattle, Washington
