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Senior Software Engineer, Analytics Platform

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 Airflow


Bonus Qualifications:
  • Working knowledge of C++


Compensation

There 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 Zoox

Zoox 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.


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Accommodations

If 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.

Average salary estimate

$257500 / YEARLY (est.)
min
max
$215000K
$300000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Software Engineer, Analytics Platform, Zoox

Welcome to Zoox, where we are on a mission to revolutionize transportation by building autonomous robotaxis from scratch! We're excited to announce a position for a Senior Software Engineer on our Analytics Platform team, which is a crucial part of our Data Infrastructure group. Here, we’re redefining data analysis and metrics to empower machine learning, data science, engineering, and safety analysis using the latest big data technologies. In this role, you will dive into the world of event-based and schedule-based data processing, working with state-of-the-art tools like AWS, Databricks, Spark, Parquet, and DuckDB. You will collaborate with an exceptional team of software engineers to tackle the challenges of processing hundreds of petabytes of structured data, creating efficient and queryable formats. Your contributions will include developing features to improve our event-based framework, optimizing latency and resource efficiency, and designing robust architectures while working closely with cross-functional teams. If you have over 7 years of industry experience, a strong background in Python and Spark, and are ready to take on complex systems, this is a fantastic opportunity to push the boundaries of what’s possible in autonomous transportation. Plus, you’ll receive a competitive salary package and an impressive range of benefits!

Frequently Asked Questions (FAQs) for Senior Software Engineer, Analytics Platform Role at Zoox
What are the responsibilities of the Senior Software Engineer at Zoox?

As a Senior Software Engineer on the Analytics Platform at Zoox, you'll be tasked with developing features for both event-based and schedule-based processing frameworks. Your role involves processing large volumes of data, enhancing system observability, and collaborating with cross-functional teams to ensure integration and performance standards are met.

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What qualifications are needed for the Senior Software Engineer role at Zoox?

To be considered for the Senior Software Engineer position on the Analytics Platform at Zoox, candidates should have at least 7 years of industry experience in software engineering, expertise in Python and Spark, and experience with AWS services. Knowledge of Databricks and Apache Airflow is also essential, with bonus points for familiarity with C++.

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What technologies will I work with as a Senior Software Engineer on Zoox's Analytics Platform?

In the Senior Software Engineer role at Zoox, you'll work extensively with technologies like AWS, Databricks, Apache Spark, DuckDB, and Airflow. These platforms will be integral to developing data processing frameworks that handle vast amounts of data efficiently.

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What is the salary range for the Senior Software Engineer position at Zoox?

The salary range for the Senior Software Engineer position on Zoox's Analytics Platform is between $215,000 and $300,000. Compensation may also include Amazon RSUs, stock appreciation rights, and potentially a sign-on bonus based on your experience and interview performance.

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What type of team culture can I expect as a Senior Software Engineer at Zoox?

At Zoox, the team culture is dynamic and highly execution-oriented, where diverse perspectives are cherished to foster innovation. As a Senior Software Engineer, you’ll work alongside talented professionals who share a passion for cutting-edge technology and collaborative problem-solving.

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Common Interview Questions for Senior Software Engineer, Analytics Platform
Can you explain your experience with Python and Spark in data processing for the Senior Software Engineer role at Zoox?

When answering this question, highlight your projects where you used Python and Spark, focusing on specific challenges you solved, data volumes you managed, and any optimizations you implemented.

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How would you optimize a data processing pipeline for latency and resource efficiency?

In your response, detail your approach to identifying bottlenecks, utilizing effective profiling tools, and possibly implementing alternatives such as batching, caching, or adjusting resource allocation in your pipeline.

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Describe a challenging software architecture problem you solved in a previous role.

Share a specific example of a challenging problem, how you approached it with a systematic analysis, and the impact of your solution on the project's success, emphasizing collaboration with others.

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What tools and methodologies do you use for monitoring system performance?

Discuss specific tools such as Prometheus, Grafana, or AWS CloudWatch, and articulate the importance of key metrics you track, the significance of alerting thresholds, and how you iterate on performance improvements.

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How do you prioritize tasks in a fast-paced development environment?

Explain your strategy for task prioritization, perhaps using methods like Agile sprints, Kanban, or MoSCoW, ensuring you connect it with effective communication and collaboration within teams.

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Can you give an example of how you collaborated with cross-functional teams in past projects?

Provide a specific incident where you worked with other teams, the challenges faced, and how effective communication helped bridge any gaps, ensuring all stakeholders were aligned towards a common goal.

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What is your experience with AWS services, particularly S3 and ECS?

Cite specific instances where you utilized AWS services, including S3 for data storage and ECS for container orchestration, highlighting the projects’ scale and the enhancements brought by these technologies.

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How do you approach debugging complex data processing issues?

Talk through your debugging process which might include breaking down problems, using logging effectively, and perhaps employing testing frameworks to isolate issues while ensuring minimal disruption.

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Have you had any experience with Databricks or Apache Airflow?

Discuss your hands-on experiences with Databricks for data engineering tasks and Airflow for workflow orchestration, sharing details about specific workflows you built or optimized.

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What excites you about working in autonomous transportation at Zoox?

Share your passion for technology and innovation in the autonomous vehicle industry. Explain how you see technology transforming urban mobility and your desire to be part of that evolution.

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Zoox was founded to make personal transportation safer, cleaner, and more enjoyable—for everyone. To achieve that goal, the team created a whole new form of transportation. Zoox will provide mobility-as-a-service in dense urban environments.

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DATE POSTED
April 2, 2025

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