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The primary objective of this role is to support manufacturing from a test and automation perspective in the production of the Aurora’s HW and delivering the benefits of self-driving technology safely, quickly, and broadly. A successful candidate is data-driven, excels at complex problem solving, has a strong engineering background with software and hardware skills, product focused mindset, and can lead cross-functional efforts.
Job Responsibility:
Support and debug software tools used in manufacturing tests and provisioning
Closely collaborate with manufacturing and engineering teams to harden and optimize automated manufacturing test procedures
Data management and analysis to track production test performance metrics, prioritize top issues, and drive continuous improvement activities with cross-functional teams
Provides technical test support to all local manufacturing areas, locations, and customers as needed
Requirements:
B.S. in Computer Science, Electrical Engineering, Mechanical Engineering, a related field, or equivalent combination of education and experience
Experience in data collection with electronic test equipment and data-acquisition systems
Prior verification, validation, and testing experience with emphasis on debugging skills
Excellent written and verbal communication of test status and results, including writing formal test reports/records
Experience in manufacturing test development and sustaining efforts at scale
Ability to read design drawings/wiring schematics
Excellent analytical abilities, technical writing ability, and a comprehensive understanding of problem-solving
Experience programming in Python is required
Experience with Linux operating systems
Experience with Google Suite, JIRA, JAMA, and GIT
Ability to work in a fast-paced team environment
International travel to CM for on-site bring-up and support
Nice to have:
M.S. in Electrical Engineering, Computer Science, Mechanical Engineering (with mechatronics experience), a related field, or equivalent combination of education and experience
Experience with data aggregation
Familiarity with FMCW LiDAR and/or RF transceivers
Experience with optical system prototyping and characterization
Experience in modern automotive electronics and diagnostic procedures