Job Description

As a member of the Vehicle Controls and Navigation Algorithms team at Tesla, you will develop accurate maps for the navigation engine used in customer cars and future Robotaxis. This role involves experimenting with algorithmic approaches to enhance map quality and implementing improvements in production systems, ultimately impacting the customer experience positively.

Requirements

Strong fundamentals of geo-spatial and topological analytics
Understanding of approaches to measure, improve, and validate map and lane graph quality
Comfort working with large production scale datasets
Strong proficiency in either Python, Go, C++ and libraries for geo-spatial, and graph analysis
Experience with GIS and map building/map quality problems at scale preferred
Experience with using ML approaches to map problems is a plus
Ability to collaborate cross-functionally with software developers
Ability to clearly communicate actionable analytics and insights
Degree in Statistics, Operations Research, Computer Science, Data Science, or equivalent in experience

Responsibilities

Leverage Tesla’s unique data sources to measure map quality and surface issues
Automate workflows, improve precision, and identify process gaps
Design, prototype, and deploy state-of-the-art machine learning and data-driven algorithms
Use insights to help prioritize improvements across the map building stack
Own and champion map quality as a critical part of the Robotaxi and Full Self Driving experience

Benefits

Employees at Tesla are often offered day-one coverage with multiple medical options (some at $0 paycheck cost), dental/vision, company HSA contributions, a 401(k) match, and equity programs. Most roles also include paid time off and holidays, family-building support, employee assistance, commuter and childcare benefits, and access to discounts and wellness programs.