At a Glance
- Tasks: Innovate solutions for self-driving tech and enhance data usage for ML training.
- Company: Woven by Toyota, transforming mobility through human-centric innovation.
- Benefits: Excellent health coverage, family planning benefits, and a supportive work environment.
- Why this job: Join a team shaping the future of mobility with cutting-edge technology.
- Qualifications: Experience in Python, cloud applications, and data processing required.
- Other info: Dynamic team culture with opportunities for mentorship and career growth.
The predicted salary is between 36000 - 60000 £ 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.
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.
- 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.
Staff Software Engineer - Data Search in London employer: Woven
Contact Detail:
Woven 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 portfolio or GitHub with projects related to data processing or ML, make sure to highlight them during interviews. It’s all about demonstrating what you can do!
✨Tip Number 3
Prepare for technical challenges! Brush up on your Python and cloud application skills. Be ready to tackle some coding problems or system design questions that showcase your expertise.
✨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, it shows you’re genuinely interested in joining our team.
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 experience with Python, cloud applications, and data processing to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about automotive software development. Share specific examples of your work in ML or data infrastructure that demonstrate your fit for the role.
Showcase Your Communication Skills: Since we value strong communication, make sure to highlight any cross-functional collaboration you've done. Let us know how you’ve worked with different teams to achieve common goals.
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’s super easy!
How to prepare for a job interview at Woven
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like Python, AWS, BigQuery, and Kafka. Be ready to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of high-impact projects you've worked on, especially those related to data processing or machine learning. Highlight how you approached challenges and the innovative solutions you implemented.
✨Communicate Clearly
Since strong communication skills are essential, practice explaining complex technical concepts in simple terms. This will help demonstrate your ability to collaborate effectively with cross-functional teams.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, challenges they face, and their vision for the future of AD/ADAS. This shows your genuine interest in the role and helps you assess if it's the right fit for you.