At a Glance
- Tasks: Join our team to innovate in self-driving technology and build efficient data pipelines.
- Company: Woven by Toyota, a leader in mobility transformation and innovation.
- Benefits: Great health coverage, flexible vacation, and family planning support.
- Other info: Dynamic work environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact on the future of mobility with cutting-edge tech.
- Qualifications: Strong Python skills and experience in data processing or similar fields.
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 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 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 BigQuery and ElasticSearch for data storage. We believe strongly in automation and testing to ensure delivery of robust and correct systems.
The London 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 with Computer Vision and Machine Learning engineers on high-impact projects and innovate new solutions to problems in the self-driving space.
- 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.
- Mentor junior engineers in their day to day work.
- Design the long term strategy for several of our products.
Minimum Qualifications:
- Extensive experience in Python (or another object-oriented language).
- Experience building reliable, distributed applications for Data Processing or similar areas.
- AWS, GCP, Azure.
Preferred Qualifications:
- 5+ years of professional software engineering experience.
- Experience writing testable and modular code.
- Data pipelines, data platforms, workflow orchestration, batch processing.
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.
Student Placement, Software Engineer in London employer: Woven by Toyota
Woven by Toyota is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Employees benefit from extensive growth opportunities, mentorship programs, and the chance to work on cutting-edge technology in autonomous driving, all while enjoying a supportive environment that values work-life balance and diversity.
StudySmarter Expert Advice🤫
We think this is how you could land Student Placement, Software Engineer in London
✨Get Involved with Open Source Projects
Diving into open source is a fantastic way to showcase your skills and build a solid portfolio that speaks volumes. Contributing to projects on platforms like GitHub not only helps you learn, but it puts your work in front of potential employers, including places like Woven by Toyota!
✨Attend Hackathons and Tech Meetups
Jumping into hackathons or local tech meetups can give you great exposure to the industry. Not only do you get to network with like-minded individuals, but you might even catch the attention of recruiters from companies like Woven by Toyota while collaborating on exciting projects.
✨Leverage University Career Services
Don’t underestimate the power of your university's career services! They often have connections with companies looking for placement candidates like us. They can guide you on preparing for interviews and even help set up networking events.
✨Show Off Your Projects on Your Personal Website
Create a portfolio website to showcase your coding projects and development skills. This is a brilliant way to give a peek into your personality and capabilities while letting potential employers like Woven by Toyota see your work up close. Plus, it shows you're proactive!
We think you need these skills to ace Student Placement, Software Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In software engineering, showcasing your portfolio is key! Include links to GitHub repositories or any relevant projects you've worked on. This will give us a clear idea of your coding skills and what you can bring to Woven by Toyota.
Highlight Relevant Skills:Make sure to emphasise programming languages, frameworks, and tools you’re familiar with on your CV. For a placement, we love seeing candidates who are eager to learn and adapt, so don’t hesitate to include any relevant coursework or certifications you’ve completed.
Tailor Your Cover Letter:In your cover letter, focus on why you’re interested in a placement with Woven by Toyota specifically. Tell us what you hope to learn and how we fit into your career goals—not just what you can do for us, but what you want to gain from the experience.
Be Ready to Talk Tech:Prepare for the possibility of a technical assessment or interview. Brush up on coding challenges and be ready to discuss your approach to problem-solving. Remember, we are looking for your thought process and ability to learn, not just the correct answer!
How to prepare for a job interview at Woven by Toyota
✨Brush Up on Your Coding Skills
For a software engineering placement at Woven by Toyota, be ready to tackle coding challenges. You might face questions on algorithms, data structures, or even a live coding session. Practising on platforms like LeetCode or HackerRank can really sharpen your skills and boost your confidence!
✨Showcase Your Projects
Have a couple of your projects on hand to discuss during the interview. Whether it's a personal project or something from your coursework, being able to explain your thought process, the technologies you used, and any challenges you faced can make a great impression. Be prepared to dive into the specifics and even share your GitHub link!
✨Understand the Tech Stack
Make sure you're familiar with the technologies and tools that Woven by Toyota uses. If you see mentions of specific languages or frameworks in the job description, brush up on them. This shows your enthusiasm and preparedness for the role, making you a more attractive candidate!
✨Be Ready to Learn and Adapt
As this is a placement, the hiring team at Woven by Toyota will be keen to hear about your motivation and potential to grow. Be open about what you want to learn from the role. Highlight experiences where you've adapted to new situations or picked up new skills quickly to showcase your enthusiasm for the opportunity.
