2 weeks ago

Senior / Staff Software Engineer - Data Infrastructure, AD/ADAS

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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

Our data platform team is working on accelerating autonomous driving by providing access to petabytes of data collected by our fleet of autonomous and non-autonomous vehicles. Efficient, fast and cost-effective access to data at large scale is key to tackle the hardest problems in AD/ADAS, from developing the Machine Learning (ML) models for perception and prediction of human driving patterns, to increasing the sophistication of our validation and simulation by identifying rare and interesting real-world driving situations. The data ecosystem developed by the Data Infrastructure team is a key building block for developing and testing modern AD/ADAS products that will impact millions of customers.

Our ML and Data pipelines are built on-top of the open-source Flyte orchestration framework and are deployed to AWS. Pipeline code is written in Python. We use SQS and Kafka to automate data connections and leverage AWS S3, GCP BigQuery and ElasticSearch for data storage and search. We believe strongly in automation and testing to ensure delivery of robust and correct systems. We are a distributed team, working in Japan, the UK and the US.

WHO ARE WE LOOKING FOR?

The Data Infrastructure team is looking for engineers who are passionate about and enable the next generation of automotive software development. The right candidate will have excellent communication skills, solid coding skills, broad knowledge of software engineering in areas such as Data Infrastructure and Warehouses, Data Ingestion, Distributed Databases, Compute Frameworks, Stream Processing, Observability and Build Infrastructure.

RESPONSIBILITIES

Design, build, maintain, optimize and support large scale, cloud-native data ingestion, data storage, data processing and data serving systems

Understand the complex data requirements of modern ML development and tailor our data ecosystem to these needs

Work closely with other Data Infrastructure engineers, Site Reliability engineers, ML Platform engineers, Computer Vision and ML engineers on high-impact projects to create innovative solutions to problems in the self-drive space

Mentor junior engineers in their day to day work and drive best practices across the organization

Contribute to the long term strategy for several of our systems and products

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MINIMUM QUALIFICATIONS

Bachelor’s degree in Computer Science, a related field, or equivalent practical experience

5+ years of experience with data structures/algorithms and professional software engineering in one or more programming languages (e.g., Python, Go, Java, C, C++)

3+ years designing and building data-intensive, concurrent, scalable applications

3+ years of experience with data platforms, data pipelines, workflow orchestration, batch processing, and/or distributed databases

Experience working with RPC protocols and their formats, e.g., gRPC/protobuf, Apache Avro, etc.

Experience with cloud-based (e.g. AWS, GCP, Azure) microservice architecture, event-driven, distributed architectures

Business-level proficiency in English speaking, reading and writing (e.g., technical documents, software documentation)

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NICE TO HAVES

Master’s degree in Computer Science

3+ years writing testable, modular code in Python

3+ years writing testable, modular code in C++

Experience working as a Site Reliability Engineer

Experience with Terraform, Docker, cloud-native technologies, networking and Kubernetes in production

Experience designing, deploying, and maintaining multi-region and/or multi-cloud systems

Experience working in a fast-paced environment, collaborating across teams and disciplines

Experience with data governance, data privacy and security

Business-level proficiency in Japanese

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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