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Senior Engineer, Data Management, Driver Monitoring System

woven-by-toyota · 30+ days ago
Negotiable
Full-time
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About Woven by Toyota
Woven by Toyota, a part of the Toyota Group, is challenging the current state of mobility through human-centric innovation and empowering mobility transformation. Through our AD/ADAS technology, our automotive software development platform Arene OS, our mobility test course Toyota Woven City, and Toyota’s growth fund, Woven Capital, we are pioneering the movement of people, goods, information, and energy, weaving a future of enhanced safety, connectivity and well-being for all.

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TEAM
The mission of the Driver & Passenger recognition development team (DPR) is to create next generation algorithms estimating the driver, passengers and in-cabin states for autonomous or semi-autonomous cars. The algorithms are mainly based on the image processing technology such as machine learning or deep learning. The field of target application is quite large from research phase to mass production phase.

WHO ARE WE LOOKING FOR?
We are looking for a data management engineer who leads our team members in collecting and managing data of cameras, sensors and others, which is the basis for the software development of driver & passenger recognition. You are responsible for leading the design of data collection especially in terms of quantity and quality and promoting data-driven development by agile cycle to enhance driver & passenger recognition software development. You are also expected to make a plan of data collection with high value and to execute it as a team by coordinating with other related parties and analyzing their various requests.

RESPONSIBILITIES

  • Construct data collection environments such as test vehicles and a driving simulator
  • Collect and manage drivers and passengers data
  • Lead team members to drive data collection and data management
  • Make a plan of data lifecycle and propose advanced data collection and management systems for future
  • Improve data quality and productivity in data collection process

MINIMUM QUALIFICATIONS

  • 5 + years experience collecting/managing/testing data
  • Experience collecting human data
  • Experience leading team members and driving projects
  • Knowledge of human factors/mechanical engineering/electronic electrical engineering/computer vision
  • Bachelor's or higher degree or equivalent education background
  • Intermediate Level English and Business Level Japanese

NICE TO HAVES

  • Experience constructing data collection environment (e.g. driving simulator, test vehicle)
  • Experience analyzing data and developing software to measure data
  • Experience of software development using AWS (lambda, EC2, S3, database, boto3, etc.)
  • Knowledge of rules of handling personal information
  • Experience improving existing environment by introducing new technologies (e.g. AI-based tools)
  • Experience validating software
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Important Points
・All interviews will be arranged via Google Meet, unless otherwise stated.
・The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version.
・We kindly request that you submit your resume in English, if possible. However, Japanese resumes are also acceptable. Please note that, depending on the English proficiency requirements of the role, we may request an English version of your resume later in the process.

WHAT WE OFFER
・Competitive Salary - Based on experience
・Work Hours - Flexible working time
・Paid Holiday - 20 days per year (prorated)
・Sick Leave - 6 days per year (prorated)
・Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company
・Japanese Social Insurance - Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance
・Housing Allowance
・Retirement Benefits
・Rental Cars Support
・In-house Training Program (software study/language study)

Our Commitment
・We are an equal opportunity employer and value diversity.
・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.

Last updated on Sep 21, 2023

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