Software Engineer - Data Team
Ann Arbor, MI
Woven by Toyota
Woven by Toyota will help Toyota to develop next-generation cars and to realize a mobility society in which everyone can move freely, happily and safely.
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.
TeamOur 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 London team is a key building block for developing and testing modern AD/ADAS products that will impact millions of customers.
Our data collection, tracking, processing, and visualizations are built on top of modern, industry-standard technology cloud services. We strive for zero downtime service deployments, with unlimited pushes to production. Our user interface and command line utilities that we provide to our customers can be accessed both through browsers and private mobile apps.
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 development across areas such as Data Infrastructure and Warehouses, Data Ingestion, Compute Frameworks, Observability and Build Infra.
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.
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.
TeamOur 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 London team is a key building block for developing and testing modern AD/ADAS products that will impact millions of customers.
Our data collection, tracking, processing, and visualizations are built on top of modern, industry-standard technology cloud services. We strive for zero downtime service deployments, with unlimited pushes to production. Our user interface and command line utilities that we provide to our customers can be accessed both through browsers and private mobile apps.
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 development across areas such as Data Infrastructure and Warehouses, Data Ingestion, Compute Frameworks, Observability and Build Infra.
Responsibilities:
- Work on high-impact projects and innovate new solutions to problems in the self-driving space
- Work on zero downtime cloud services that index and provide self-driving vehicle data
- Understand the complex data requirements of modern ML development and tailor our data ecosystem to these needs
- Build efficient data pipelines for ingestion from the vehicle fleet
- Work on distributed systems that serve, process, and transform large quantities of data in the cloud
Minimum Qualifications:
- Experience in Python (or other Object Oriented language)
- Extensive experience with Java/Spring/Hibernate
- Experience building reliable, distributed applications for Data Processing or similar areas
- Hands-on experience developing cloud applications (e.g. AWS, GCP, Azure)
Preferred Qualifications:
- Experience in Go
- Experience with Gradle or other similar build tools
- Experience writing testable and modular code
- Working with RPC protocols such as gRPC/protobuf
- Experience working in a fast-paced environment, collaborating across teams and disciplines
- Experience designing, deploying, and maintaining distributed systems
- Data pipelines, data platforms, workflow orchestration, batch processing
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: Autonomous Driving AWS Azure Data pipelines Distributed Systems GCP Java Machine Learning Pipelines Privacy Python Testing
Perks/benefits: Career development Flex hours Flex vacation Health care Unlimited paid time off Wellness
Region:
North America
Country:
United States
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