Autonomous Driving Data Specialist
Wayve
Unknown, Unknown, 日本
Full-Time
$8
RemoteSenior
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment big problems ignite uswe embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
As an Autonomous Driving Data Specialist at Wayve, youll play a critical role in maintaining the safety and reliability of our ADAS+ vehicle systems. Youll be responsible for Root Cause Analysis and producing Top Issue reports across our test environments and operational domains.You will bridge the gap between Detective Engineers, Triage Engineering and Component teams, youll help accelerate triage outcomes and improve the efficiency and effectiveness of our development pipeline.
This role may also be known as: Triage Specialist, Data Triage Engineer, ML Triaging Engineer, ADAS Data Analysis Engineer, Root Cause Analysis Engineer etc. Titles vary between companies, but the core responsibilities are similar.
This is a highly collaborative and detail-oriented role with a direct impact on the performance and safety of Wayves models.
Wayve.ais office is located in Tokyo, Japan. The office offers convenient access to public transit and is surrounded by a vibrant community of tech innovators, with a wide selection of nearby dining and recreational options.
Key responsibilities:
In order to set you up for success as an Autonomous Driving Data Specialist at Wayve, were looking for the following skills and experience.
Essential
Desirable
This is a full-time role based in our office in Tokyo, Japan. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. LI-LA1
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If youre passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
For US candidates only, please visit E-Verify Notice and Participation and Right to Work
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.