Autonomous Driving Data Specialist

1 мес. назад

JapanWorldwide

root cause analysis

Responsible for root cause analysis and producing top issue reports for autonomous driving systems to maintain safety and reliability.

О компании

Founded in 2017, 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 us—we 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 , your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  
Make the experience that defines your career!

Обязанности

As an Autonomous Driving Data Specialist  at , you’ll play a critical role in maintaining the safety and reliability of our ADAS+ vehicle systems. You’ll 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, you’ll 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 ’s models.
.ai’s 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:
Perform first-level analysis on real world run data
Partner closely with Detective Engineers to learn and discover the root cause of an issue.
Partner closely with Triage Engineers to develop automated solutions.
Support the full issue lifecycle: identification, investigation, resolution, documentation, and reporting.
Accurately add metadata to the on road interventions (i.e. Root Cause Labels, Jira Linking, Comments)
Effectively use ’s proprietary tooling.
Investigate complex or ambiguous runs that require deeper analysis or resolution.
Participate in regular standups to address emerging concerns, assign priorities, and adapt to process changes.
Deliver actionable feedback on triage tooling and suggest improvements to enhance usability and speed.
Contribute to process improvement and maintain a high standard of safety, efficiency, and rigor.
Accurately validate Triage automation bots

Требования

In order to set you up for success as an Autonomous Driving Data Specialist   at , we’re looking for the following skills and experience.  
Essential 
Previous experience in ADAS, Autonomous Vehicles or Testing
Passion for Quality and Safety-first mindset.
Ability to learn and use a variety of internal tools and software platforms.
Comfort with technical terminology related to ADAS systems and software stacks.
Strong communication skills across cross-functional and time-zone-distributed teams.
Analytical thinking, logical reasoning, and bias-free problem-solving.
Detail-oriented approach with a focus on accuracy, even over extended sessions.
Strong debugging, documentation, and investigation skills.
Ability to work independently and as part of a collaborative team.
Desirable 
Experience with issue tracking and configuration management (e.g., Jira, Confluence, Bitbucket).
Familiarity with software development concepts: source control, requirements analysis, build pipelines.
Exposure to software release workflows and release testing practices.
Basic experience with scripting (e.g., Bash, Python).
SQL/data analysis proficiency for deeper log review and trend analysis.
Experience with AV testing or robotics systems.
This is a full-time role based in our office in Tokyo, Japan. At 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
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 you’re 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 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 . 
To learn more about what drives us, visit Values at  
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.