Employers / Recruiters

ML Platform Engineer - AD/ADAS

woven-by-toyota · 30+ days ago
Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society. 

Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being.

Woven by Toyota develops, implements, and scales human-centered automated driving solutions for personal and commercial use. Our team is responsible for developing autonomy (perception, prediction, planning) technologies and its production software for the AD/ADAS system. To realize a fully reliable and highly functional system, we are tackling complex real-world problems utilizing large scale data, machine learning algorithms, and a variety of perception technologies.

The expected candidate is self-motivated to find solutions to complex real-world problems, and makes an impact while contributing to a cross-functional team. You will combine cutting-edge technologies with robust safety standards while also considering cost efficiency. Also, you have patience to tackle the processes required for production development and approach them by asking "What can I do for you?" with a "Giver" mindset.


  • Build and maintain the ML platform for perception, prediction and planner development, allowing numerous ML engineers to run ML model life cycles, deploying safe AD/ADAS to millions of vehicles.
  • Architect and maintain other repositories involved in building the in-house perception solution and production workflows.
  • Write, test, and ship software for desktop, embedded and cloud runtimes, and also design reliable software interfaces that balance simplicity, featurefulness and separation of concerns.
  • Review, design and code with other platform developers to facilitate rapid incremental improvements.
  • Come to our Nihonbashi office three days per week per our hybrid work policy
  • Report to our ML platform engineering leader


  • Bachelor's degree in science or engineering.
  • 2+ years of experience developing and shipping production-level software.
  • Demonstrate computer science fundamentals (algorithms, data structures, design patterns) and software engineering best practices.
  • 5+ years working with UNIX-based systems (Linux or similar) and Python 3.
  • Experience training ML models with PyTorch or an equivalent ML framework/library.
  • 2+ years using modern systems programming languages (e.g. Rust, C++) and a modern build system (preferably Bazel), and systems-level debugging knowledge, in a professional environment
  • Experience with Docker and CI systems such as GitHub Actions.
  • Business-level proficiency in English, able to write technical documents (e.g. for software documentation).


  • Experience with SIMD/SIMT parallelism, GPU programming, multithreading.
  • Experience in optimizing deep-learning models towards specific hardware targets.
  • Experience with AWS services.
  • Business-level proficiency in Japanese.
- -

・Competitive Salary - Based on experience
・Work Hours - Flexible working time with NO core-hours
・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 Security - all applicable (Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance)
・In-house Training Program (software study/language study)

By submitting your application you agree to the following terms:

Our Commitment
・We are an equal opportunity employer and value diversity.
We pledge that any information we receive from you will be used ONLY for the purpose of hiring assessment.

Last updated on Sep 7, 2023

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