The data scientist joins Mazda’s AI team to analyze internal data using machine learning, reinforcement learning and deep learning, visualize findings, and program analytical simulations.
About this role
This role supports software development for in-vehicle information systems, digital cockpits, infotainment systems and connected services. It sits within connected-car development and focuses on the environments that allow vehicle software changes to be tested continuously and released automatically.
The work includes building and operating AWS infrastructure, improving automation and fault tolerance, managing user environments for large-scale projects, and designing and operating internal development-support tools. The role also supports scripted builds, tests and deployments for platforms and applications through CI/CD tools, while tracking development-pipeline metrics and proposing improvements. Technologies include Linux, Android and QNX embedded-software environments, vehicle communication technology, Windows simulator applications, Go, Python, JavaScript/TypeScript, ShellScript, JIRA and GitLab.
Applicants must have at least one of the following: experience developing embedded software or development environments on Linux, Android or QNX; knowledge of vehicle communication technology plus simulator-app development on Windows; experience designing or operating CI/CD environments for large-scale systems; or experience automating and operating test tools.
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