SLAM Engineer, Robotics — Hybrid (London)

SLAM Engineer, Robotics — Hybrid (London)

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Wayve

At a Glance

  • Tasks: Scale our SLAM system for autonomous vehicles and drive technical direction.
  • Company: Join Wayve, a mission-driven robotics company shaping the future of autonomous driving.
  • Benefits: Competitive pay, onsite chef, private health insurance, and a vibrant workplace culture.
  • Other info: Enjoy a hybrid work environment with core hours for work-life balance.
  • Why this job: Make a real impact in robotics while learning from industry leaders.
  • Qualifications: Experience in SLAM, strong C++ and Python skills, and a passion for innovation.

The predicted salary is between 60000 - 80000 £ per year.

Where you will have an impact:

  • Robustify and scale our SLAM system to 100’s of vehicles and millions of hours of driving data, producing high quality supervision signals for model training.
  • Contribute to technical direction for SLAM codebase and drive execution.
  • Be an advocate for best practices and state of the art within Robotics.

Challenges you will own:

  • Multi-sensor odometry and sensor calibration, across cameras, inertial and radar sensors.
  • Full development life cycle of our SLAM systems - from research and prototyping, to the development of a high quality, tested code that runs efficiently at scale.
  • Understand the needs and use cases of SLAM internally at Wayve, aligning the SLAM roadmap across programme requirements to maximise impact.

What we are looking for in our candidate:

Essential:

  • Experience as a core developer/researcher in SLAM, Visual Odometry, Localisation or State Estimation codebase.
  • Experience deploying SLAM systems in the real world, e.g. AVs, AR/VR, UAV.
  • Strong C++ and Python fundamentals.

Desirable:

  • PhD in computer vision, 3D geometry, SLAM, localisation, mapping, or other relevant field.
  • Experience deploying SLAM systems at scale in outdoor environments.
  • Experience with Ceres or similar nonlinear least squares optimisation framework.
  • Experience with sensor modalities other than cameras, e.g. LiDAR, RADAR, inertial.

What we offer you:

  • The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving.
  • Competitive compensation and benefits.
  • A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too.
  • A culture that is ego-free, respectful and welcoming (of you and your dog) - we even eat lunch together every day.
  • Benefits such as an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, large social budgets.

This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of gender, gender identity, gender expression, race, sexual orientation, physical or mental disability, ethnicity, age or religious belief.

SLAM Engineer, Robotics — Hybrid (London) employer: Wayve

Wayve is an exceptional employer for SLAM Engineers, offering a unique opportunity to shape the future of autonomous driving within a mission-driven organisation. With a dynamic and fast-paced work environment, employees benefit from competitive compensation, a culture that values respect and collaboration, and numerous perks such as an onsite chef and flexible hybrid working arrangements. The commitment to employee growth and a diverse, inclusive culture makes Wayve an attractive place for those seeking meaningful and rewarding careers in robotics.

Wayve

Contact Details:

Wayve Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land SLAM Engineer, Robotics — Hybrid (London)

Tip Number 1

Network like a pro! Reach out to folks in the robotics and SLAM community on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your SLAM projects, code snippets, or any relevant research. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for technical interviews by brushing up on your C++ and Python fundamentals. Practice coding challenges related to SLAM and sensor calibration to impress your interviewers.

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 mission-driven team.

We think you need these skills to ace SLAM Engineer, Robotics — Hybrid (London)

SLAM
Visual Odometry
Localisation
State Estimation
C++
Python
Nonlinear Least Squares Optimisation

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the SLAM Engineer role. Highlight your experience with SLAM, Visual Odometry, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about robotics and how you can contribute to our mission at Wayve. Be genuine and let your personality come through.

Showcase Your Technical Skills:Since we’re looking for strong C++ and Python fundamentals, make sure to mention specific projects or experiences where you’ve used these languages. We love seeing real-world applications of your skills!

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 don’t miss out on any important updates from our team!

How to prepare for a job interview at Wayve

Know Your SLAM Inside Out

Make sure you brush up on your knowledge of SLAM systems, visual odometry, and localisation. Be ready to discuss your past experiences deploying these systems in real-world scenarios, especially in autonomous vehicles or AR/VR applications.

Showcase Your Coding Skills

Since strong C++ and Python fundamentals are essential, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to SLAM and sensor calibration beforehand.

Align with Their Mission

Understand Wayve's mission and how your skills can contribute to shaping the future of autonomous driving. Be prepared to discuss how you can advocate for best practices and drive technical direction within their SLAM codebase.

Ask Insightful Questions

Prepare thoughtful questions about their SLAM roadmap and how it aligns with programme requirements. This shows your genuine interest in the role and helps you gauge if the company culture is the right fit for you.