At a Glance
- Tasks: Develop and scale cloud-based calibration pipelines for autonomous driving sensor data.
- Company: Join a mission-driven team in the exciting world of autonomous driving.
- Benefits: Enjoy excellent health coverage, flexible vacation, and family planning benefits.
- Other info: Collaborative culture with opportunities for growth in a dynamic London office.
- Why this job: Make a real impact on cutting-edge technology in a fast-paced environment.
- Qualifications: Bachelor's in Computer Science or related field; proficiency in Python and SQL required.
The predicted salary is between 63000 - 77000 £ per year.
Overview
In this role you will develop and scale cloud-based calibration and data validation pipelines for autonomous driving sensor data.
You’ll collaborate with hardware, data, and software teams to ensure data quality across cameras, Li DAR, IMU, and radar, while improving the reliability and observability of common infrastructure.
You’ll contribute to a shared Vision library and support production services in a fast-paced, hybrid London environment.
This is a hands-on, production-focused engineering position inside a mission-driven autonomous driving program.
- Pay / Benefits
- Excellent health, wellness, dental and vision coverage
- A rewarding pension
- Flexible vacation policy
- Family planning and care benefits
Responsibilities
- Design, implement, and deliver calibration and validation pipelines and underlying infrastructure
- Write scalable, production-quality code and workflows for large-scale fleet data
- Develop SQL-based validation tests and collaborate with hardware/data teams for coverage
- Enable other teams to build on shared infrastructure and improve the Vision library
- Instrument and monitor production systems to uphold reliability and observability
- Maintain and improve team repositories with emphasis on code health and simplicity
- Collaborate in a high-velocity agile environment
- Work in the London office three days per week
- Key requirements
- Bachelor in Computer Science, Software Engineering, or related field (Master's preferred) or equivalent experience
- Proficiency in Python and SQL with production-quality code
- Experience building and maintaining cloud-based data pipelines
- Experience managing software repositories, including reviews and versioning
- Experience with monitoring and observability tooling
- Strong collaboration and interpersonal skills in fast-paced environments
- collaborative mindset
- proactive problem solving
- focus on production-quality and scalability
- Python
- SQL
- cloud-based data pipelines
Software Engineer - Calibration in London employer: Woven by Toyota
At Woven by Toyota, we pride ourselves on being an exceptional employer, fostering a collaborative and innovative work culture that empowers our employees to tackle complex challenges in the field of autonomy. Located at the forefront of AI and robotics, we offer competitive benefits including comprehensive health coverage, a rewarding pension plan, and a flexible vacation policy, all designed to support your well-being and work-life balance. Join us to not only advance your career through mentorship and growth opportunities but also to contribute to shaping the future of mobility in a diverse and inclusive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - Calibration in London
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Software Engineer - Calibration in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Woven by Toyota.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Woven by Toyota and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Woven by Toyota
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Woven by Toyota uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
