At a Glance
- Tasks: Innovate solutions for self-driving tech and enhance data usage for ML training.
- Company: Woven by Toyota, leading the charge in mobility transformation.
- Benefits: Great health coverage, flexible vacation, and family planning support.
- Why this job: Join a mission to revolutionise mobility and impact millions with cutting-edge technology.
- Qualifications: Proficient in Python and experienced in cloud applications and data processing.
- Other info: Dynamic team environment with opportunities for mentorship and career growth.
The predicted salary is between 36000 - 60000 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 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. We are a distributed team, working in the UK and US.
The London Data Search 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 and Observability.
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
- Design and implementation of new solutions that increase the usage and the impact of data for AD/ADAS development for ML training and simulation
- Measure and increase the diversity of our data, working closely with our data scientists
- Work on distributed systems that serve, process and transform large quantities of data in the cloud
- Mentor other engineers in the team, set a high bar for engineering excellence
- Shape the technical roadmap of the team, influence and align overall technical strategy with data users in ML development and virtual validation
- Experience with Python (or other Object Oriented language)
- Experience building reliable, distributed applications for Data Processing or similar areas
- Hands‑on experience developing cloud applications (e.g. AWS, GCP, Azure)
- Experience with technologies like BigQuery and SnowFlake
- Strong communication and experience in cross‑functional collaboration
- Previous experience in managing small teams or equivalent leadership roles
- Experience writing testable and modular code
- 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
- Experience on building ML pipelines
- Excellent health, wellness, dental and vision coverage
- A rewarding pension
- Flexible vacation policy
- Family planning and care benefits
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.
Staff Software Engineer - Data Search in London employer: Woven by Toyota
Contact Detail:
Woven by Toyota Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Software Engineer - Data Search in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Woven by Toyota. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio, make sure it’s up-to-date. Share projects that highlight your experience with Python, cloud applications, and data processing.
✨Tip Number 3
Prepare for the interview like it’s a coding challenge! Brush up on your knowledge of ML pipelines and distributed systems. Be ready to discuss how you can contribute to the team’s goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Staff Software Engineer - Data Search in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Staff Software Engineer role. Highlight your Python expertise, cloud application experience, and any work with data processing or ML pipelines.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about the future of mobility and how your background makes you a great fit for our team. Be sure to mention any relevant projects you've worked on that relate to AD/ADAS.
Showcase Your Communication Skills: Since collaboration is key in our distributed team, demonstrate your communication skills in your application. Share examples of how you've successfully worked with cross-functional teams in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at Woven by Toyota
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like Python, AWS, and BigQuery. Brush up on your knowledge of distributed systems and data processing, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific projects where you've tackled complex problems, especially in the context of machine learning or data infrastructure. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Communicate Clearly
Since strong communication skills are essential for this role, practice explaining your past projects and technical concepts in a clear and concise manner. Be ready to engage in discussions with both technical and non-technical team members.
✨Demonstrate Leadership Potential
If you have experience mentoring others or leading small teams, be sure to share those stories. Highlight how you’ve set high standards for engineering excellence and how you can contribute to shaping the technical roadmap of the team.