At a Glance
- Tasks: Join our team to design and maintain cutting-edge cloud infrastructure for autonomous driving.
- Company: Woven by Toyota is revolutionising mobility through innovative technology and human-centric solutions.
- Benefits: Enjoy flexible vacation, health coverage, and family planning benefits in a supportive work environment.
- Why this job: Be part of a mission to enhance safety and well-being through advanced automotive software development.
- Qualifications: Bachelor's in Computer Science or related field; experience in software engineering and site reliability engineering required.
- Other info: Work with a distributed team across Japan, the UK, and the US on impactful projects.
The predicted salary is between 48000 - 84000 ÂŁ per year.
Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society. Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.
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 leverage AWS S3, GCP BigQuery and ElasticSearch for data storage and search. We schedule our workloads on AWS EKS. Our infrastructure is spread across multiple regions and multiple cloud providers. 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 Cloud and 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, expertise in building scalable, reliable, highly available and fault-tolerant systems, broad knowledge of software engineering and site reliability engineering in areas such as Large-Scale Data and Compute Infrastructure, Stream Processing, Kubernetes, High-Performance Networking, Observability and Infrastructure Automation.
RESPONSIBILITIES
- Set the technology strategy for our cloud infrastructure, factoring in the AD/ADAS cloud development needs and our cloud cost optimisation targets.
- Design, build, maintain, optimize and support large scale, multi-region, multi-cloud compute and storage infrastructure powering our data platform and mission critical services.
- Work with fellow Data Infrastructure engineers and Site Reliability engineers to ensure our systems are scalable, reliable, fault-tolerant, highly available, highly performant, and observable.
- Manage incidents, triage product or system issues and debug/track/resolve by analyzing the root cause of these issues and the impact on users & operations.
- 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 engineering practices across the organization.
- Contribute to the long term strategy for several of our systems and products.
MINIMUM QUALIFICATIONS
- Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
- Experience as a professional software engineer in one or more programming languages (e.g., Python, Go, Java, C, C++).
- Experience as a Site Reliability Engineer, working with Terraform, Docker, cloud-native technologies, networking and Kubernetes in production.
- Experience designing, deploying, monitoring and maintaining large-scale, fault-tolerant multi-region and/or multi-cloud distributed systems.
- Ability to debug & optimize code, to troubleshoot distributed systems and to automate routine tasks.
NICE TO HAVES
- Master’s degree in Computer Science.
- Experience working as a Software Engineer on data-intensive applications, data platforms, data pipelines, workflow orchestration, batch processing, and/or distributed databases.
- Previous experience in monitoring, tracking and optimising cloud compute and storage costs.
- 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.
- Experience working in a fast-paced environment, collaborating across teams and disciplines.
- Experience with data governance, data privacy and security.
WHAT WE OFFER
We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.
- Excellent health, wellness, dental and vision coverage.
- A rewarding pension.
- Flexible vacation policy.
- Family planning and care benefits.
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.
Site Reliability Engineer - Data Infrastructure, AD/ADAS employer: Woven by Toyota
Contact Detail:
Woven by Toyota Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Site Reliability Engineer - Data Infrastructure, AD/ADAS
✨Tip Number 1
Familiarise yourself with the technologies mentioned in the job description, such as AWS, Kubernetes, and Python. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Engage with the community around site reliability engineering and data infrastructure. Join relevant forums, attend meetups, or participate in online discussions to network with professionals in the field and gain insights into current trends and challenges.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've implemented scalable and fault-tolerant systems. Be ready to share specific examples of how you’ve tackled challenges in previous roles, particularly in cloud environments.
✨Tip Number 4
Showcase your ability to work collaboratively across teams. Highlight any experiences where you've successfully partnered with engineers from different disciplines, as this role requires close collaboration with various teams to drive innovative solutions.
We think you need these skills to ace Site Reliability Engineer - Data Infrastructure, AD/ADAS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in site reliability engineering, cloud infrastructure, and programming languages like Python. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for automotive software development and your understanding of AD/ADAS technologies. Mention specific projects or experiences that align with the responsibilities outlined in the job description.
Showcase Technical Skills: In your application, emphasise your technical skills related to cloud-native technologies, Kubernetes, and large-scale distributed systems. Provide examples of how you've applied these skills in previous roles.
Highlight Collaboration Experience: Since the role involves working closely with various teams, include examples of past collaborative projects. Demonstrating your ability to work across disciplines will strengthen your application.
How to prepare for a job interview at Woven by Toyota
✨Understand the Company’s Vision
Before your interview, take some time to research Woven by Toyota and their mission in transforming mobility. Familiarise yourself with their four pillars, especially AD/ADAS, as this will show your genuine interest and alignment with their goals.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with relevant technologies such as Python, Kubernetes, and cloud services like AWS and GCP. Highlight specific projects where you’ve built scalable and reliable systems, as this is crucial for the role.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Brush up on debugging distributed systems and optimising code. Practice articulating your thought process clearly, as communication is key in collaborative environments.
✨Demonstrate Your Mentorship Abilities
Since the role involves mentoring junior engineers, be ready to share examples of how you've guided others in the past. Discuss your approach to fostering best engineering practices and how you can contribute to the team's growth.