High-definition HD maps are foundational to enabling safe, scalable autonomous driving. We are seeking highly motivated engineers who are passionate about solving complex, real-world problems and building state-of-the-art mapping systems.
In this role, you will collaborate with a diverse, cross-functional team to design and develop large-scale HD mapping algorithms, workflows, and data pipelines. Your work will directly impact our ability to efficiently map new cities and continuously update existing maps at scale, playing a critical role in accelerating our autonomous vehicle deployment.
In this role, you will:
Design and build a high-quality, large-scale mapping dataset and data pipelines for training and evaluating machine learning models
Design and build tools for model performance benchmarking and introspection
Collaborate closely with machine learning engineers to define and refine data curation and model training strategies that drive measurable improvements in model accuracy and performance.
Collaborate cross-functionally with a variety of teams working on things such as perception, planning, prediction, simulation, etc
Qualifications:
BS or MS in Computer Science or related field and 3+ years of experience
Proficient in Python
Strong Statistical Foundations: Deep understanding of hypothesis testing, experimental design, regression analysis, non-parametric/resampling methods (e.g., bootstrapping, permutation tests), and time-series analysis handling autocorrelated data.
Experience with large-scale, multi-modal datasets, benchmarking and introspection
Ability to identify, clean, and process datasets containing high levels of noise or ambiguous classifications
Bonus Qualifications:
Experience in computer vision, machine learning algorithms,
Knowledge of geospatial data and coordinate systems
Ability to write highly complex, optimized SQL queries for massive distributed databases,
and Databricks experience
Skills Required
- BS or MS in Computer Science or related field and 3+ years of experience
- Proficient in Python
- Strong statistical foundations (hypothesis testing, experimental design, regression, resampling methods, time-series analysis)
- Experience with large-scale, multi-modal datasets, benchmarking and introspection
- Ability to identify, clean, and process noisy or ambiguously labeled datasets
- Experience in computer vision and machine learning algorithms
- Knowledge of geospatial data and coordinate systems
- Ability to write highly complex, optimized SQL queries for massive distributed databases
- Databricks experience
Zoox Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoox and has not been reviewed or approved by Zoox.
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Healthcare Strength — Healthcare is extensive, with broad medical and vision options, company‑paid disability coverage, and multiple mental‑health resources. Feedback suggests coverage breadth and auxiliary programs support a wide range of needs.
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Parental & Family Support — Family supports include paid parental leave, additional pregnancy disability time, fertility coverage, and adoption/surrogacy assistance. Backup care and family‑oriented programs further reinforce support across life stages.
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Wellbeing & Lifestyle Benefits — Day‑to‑day perks are robust, including free daily meals, fitness subsidies, commuter support, and on‑site amenities. Feedback suggests these lifestyle benefits enhance convenience and workplace experience, especially for office‑based roles.
Zoox Insights
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation. From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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