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Software Engineer - Core Data Science

The Core Data Science team owns a suite of products that provide actionable insights to the on-vehicle software teams. In particular, our scenario search tools are used by teams developing and validating Zoox’s on-vehicle AI stack to estimate and analyze event rates at scale, enabling the launch of an autonomous mobility service. Our team also works closely with dedicated Data Science teams to develop key driving behavior metrics and direct new feature development, using large scale data from our autonomous driving fleet and simulations.


You are a good fit for our team if you are a software engineer with a propensity for big data analysis, or a data engineer / scientist with an understanding of and enthusiasm for sound software engineering practices. You will join a diverse, experienced team with rapidly growing scope and responsibility while also having access to a uniquely valuable data set in the autonomous vehicle industry.


In this role, you will:
  • Collaborate with our software and systems engineering teams to build and support core scenario search capabilities for Zoox
  • Work alongside our data engineering and data science teams to develop and use robust large scale data solutions
  • Identify key areas of investment for our vehicle software teams
  • Establish best practices and processes around data-driven decision-making


Qualifications
  • Extensive experience with large-scale data processing frameworks, with preference for Spark or Hadoop
  • Software development experience in a production environment, with preference for Scala, Python, or Java; or demonstrated experience learning new programming languages
  • Familiarity with any version control system, with preference for GitExperience designing metrics and building mechanisms that deliver robust, actionable insights
  • Good communication and collaboration skills


Bonus Qualifications
  • Experience training and deploying ML models to large scale production use cases
  • Basic familiarity with C++
  • Experience with geospatial data analysisFamiliarity with or exposure to experimentation platforms
  • Basic familiarity with any autonomous vehicle competency, e.g. perception, localization, prediction, planning, or controls


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 $192,000 to $273,000. 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.


Follow us on LinkedIn


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

$232500 / YEARLY (est.)
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$192000K
$273000K

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 Software Engineer - Core Data Science, Zoox

At Zoox, we're on a mission to redefine urban mobility, and we're looking for a passionate Software Engineer - Core Data Science to join our dynamic team in Foster City, CA. In this role, you will play a key part in developing innovative products that deliver actionable insights to our on-vehicle software teams. Our scenario search tools are vital for estimating event rates at scale, greatly contributing to the development of Zoox's autonomous AI stack. You'll collaborate with talented software and systems engineers while also interacting closely with our data science teams to derive essential driving behavior metrics from vast datasets collected from our autonomous fleet. If you bring a solid background in software engineering, love working with big data, and thrive in a collaborative environment, this could be your perfect team! Your responsibilities will include building and supporting our core scenario search capabilities and identifying investment opportunities for our vehicle software teams. With your experience in large-scale data processing frameworks and programming languages like Scala or Python, you'll help us establish best practices around data-driven decision-making. Join us and leverage our unique data ecosystems in the autonomous vehicle industry as we drive towards a revolutionary future.

Frequently Asked Questions (FAQs) for Software Engineer - Core Data Science Role at Zoox
What are the primary responsibilities of a Software Engineer - Core Data Science at Zoox?

As a Software Engineer - Core Data Science at Zoox, you will be responsible for building and supporting core scenario search capabilities to enhance our autonomous vehicle AI stack. You will collaborate with various engineering teams to develop robust data solutions, identify key areas for investment, and establish best practices surrounding data-driven decision making.

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What qualifications do I need to apply for the Software Engineer - Core Data Science position at Zoox?

To be considered for the Software Engineer - Core Data Science role at Zoox, candidates should have extensive experience with large-scale data processing frameworks, such as Spark or Hadoop, and possess software development expertise in environments using Scala, Python, or Java. Experience with version control systems, particularly Git, and the ability to design metrics for actionable insights are also essential.

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What programming languages should I be familiar with for the Software Engineer - Core Data Science job at Zoox?

For the Software Engineer - Core Data Science role at Zoox, proficiency in programming languages like Scala, Python, or Java is preferred. While familiarity with C++ is a bonus, demonstrating a willingness and capability to learn new languages will also strengthen your application.

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Can I apply for the Software Engineer - Core Data Science position at Zoox if I do not meet all the requirements?

Absolutely! At Zoox, we believe that diverse perspectives drive innovation. Therefore, while meeting the listed expectations can enhance your candidacy, we encourage all applicants who have a passion for autonomy and related fields to apply, even if you do not match every requirement perfectly.

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What type of work environment can I expect as a Software Engineer - Core Data Science at Zoox?

In the Software Engineer - Core Data Science position at Zoox, you can expect a collaborative, fast-paced work environment that values innovative thinking. The team is diverse and dedicated to leveraging unique data sets from the autonomous vehicle industry, allowing you to contribute meaningfully to projects that are shaping the future of mobility.

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Common Interview Questions for Software Engineer - Core Data Science
Can you explain your experience with large-scale data processing frameworks?

In your response, emphasize your hands-on experience with frameworks like Spark or Hadoop, giving specific examples of projects where you applied them. Discuss the challenges faced and how you overcame them to solidify your expertise in this area.

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How do you prioritize tasks when working on multiple data engineering projects?

Discuss your approach to task prioritization, mentioning techniques like the Eisenhower Matrix or agile methods. Highlight how you maintain focus while ensuring that project deadlines are met and quality is maintained, using examples from previous roles.

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Describe a project where you collaborated with data scientists or engineers.

Share a detailed account of a collaborative project you undertook, focusing on your role and contributions. Mention the communication tools used and how these interactions led to successful outcomes, illustrating your ability to work as part of a team.

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What metrics have you designed in your previous roles?

Provide a specific example of metrics you’ve designed that yielded actionable insights. Explain the context, the metrics' impact on the project, and any changes made based on those insights, to showcase your understanding of delivering value through data.

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How do you ensure data integrity in your processes?

Discuss your methods for ensuring data integrity, such as implementing validation checks, automated testing, and adhering to best practices in data management. Offer an example where these practices prevented issues and aided in successful outcomes.

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What challenges have you faced while working with big data, and how did you overcome them?

Share specific challenges related to data volume, velocity, or variety that you encountered. Detail your problem-solving techniques and the successes that resulted from your approach to illustrate resilience and adaptability.

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How familiar are you with using Git for version control?

Talk about your experience with Git, providing examples of workflows that you are familiar with, such as branching, merging, and handling conflicts. Emphasize your understanding of best practices within version control to demonstrate your technical competence.

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Describe a time when you had to learn a new programming language quickly.

Share a specific scenario where you had to rapidly learn a new programming language, detailing the resources you used and how you effectively integrated that language into your project work to show your adaptability and eagerness to learn.

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How do you handle feedback on your engineering work?

Discuss your approach to receiving feedback, emphasizing the importance of constructive criticism for your growth. Provide an instance where feedback positively influenced your work or led to significant improvements.

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What excites you about working in autonomous technology?

Express your passion for innovation in autonomous technology, sharing personal motivations and how they align with Zoox's mission. Mention aspects such as the potential for societal impact and the challenges related to autonomous systems that inspire your professional journey.

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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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Full-time, on-site
DATE POSTED
March 27, 2025

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