Engineering Director – Evaluation and Validation

Engineering Director – Evaluation and Validation

Full-Time 100000 - 150000 £ / year (est.) Home office (partial)
Wayve

At a Glance

  • Tasks: Lead the Evaluation and Validation team to enhance AI safety and performance.
  • Company: Join Wayve, a pioneering company in autonomous driving technology.
  • Benefits: Enjoy competitive pay, full health coverage, and fun office perks.
  • Other info: Dynamic work culture with opportunities for personal and professional growth.
  • Why this job: Make a real impact in the future of self-driving cars.
  • Qualifications: Experience leading large engineering teams and knowledge of AI and robotics.

The predicted salary is between 100000 - 150000 £ per year.

As Director of Engineering you will manage the Evaluation and Validation group within our Software Engineering organisation. You will report to the VP of Software who reports to the CEO. There are four R&D groups in the Software department:

  • Cloud Infrastructure (data and ML training infra)
  • Onboard Software (the car computer system software)
  • Embodied AI Products (the AI+Robotics autonomy software and data)
  • Evaluation and Validation (make our AI easy to measure and then prove it is safe)

The Evaluation and Validation group is on the critical path to company success. Your mission is (1) to enable Wayve to iterate quickly towards solving Autonomy problems and (2) to make our AI products trusted by our commercial partners and end users. You will be responsible for defining and building a development and validation toolkit and process for our Embodied AI technology. Today that includes Simulation (digitise the self-driving problem in order to enable the creation of new training and validation datasets), Experiments (essentially the Embodied AI development toolkit), Data Science (measurement reliability and accuracy in noisy self-driving environments). You will need to develop additional capabilities to evaluate model performance and validate its safety across a large corpus of recorded and synthesised scenarios.

You can expect to:

  • Define and own the technical vision, strategy and metrics for your area, ensuring its teams and the rest of Wayve are aligned and galvanised
  • Digitise the self-driving problem. Greatly improve our ability to predict and compare on-road performance through off-road simulation
  • Build efficient off-road open-loop and closed-loop tools for safety validation
  • Partner with the senior leadership team to maintain a culture of impact, performance, and health
  • Build technical capabilities across the division and develop talented engineers as Wayve grows. Build resilient and reliable systems, teams and individuals
  • Work closely with team members to develop career plans and growth trajectories based on each individual’s strengths

Challenges you will own:

  • Growing the team from about 25 to 50 engineers in the first 12 months with potential for significant growth thereafter.
  • You are expected to establish solid software and ML practices from the start and to attract technical leadership
  • You will set the technical direction in your area and ensure that deliverables align with company objectives.
  • You will provide leadership and guidance to the Engineering Managers within your area. You will steer the teams and coordinate with others across Wayve.
  • You will partner with our Science department to stay on top of the latest advances and bring those quickly to production.
  • You will be essential to Wayve’s mission, deeply enjoy what you do, take immense pride in being a part of something big, and love pushing the boundaries of what’s possible.

This role will be based at our headquarters near King’s Cross in London, or in Mountain View, CA.

What you will bring to Wayve:

  • Essential
    • Management: 2+ years of leading teams of 50+ engineers at large companies or 25+ at startups
    • Execution skills: resource allocation, program planning and execution
    • Domain skills: neural net understanding/introspection and/or validation
    • Domain skills: simulation of embodied/physical systems
    • Engineering skills: code development practices, testing, serviceability
    • Product delivery skills: roadmap articulation, interface with leadership & business functions
    • Education: BS or MS in Computer Science, Engineering, or similar experience
  • Desirable
    • Industry experience in Robotics, particularly related to simulating robots
    • Industry experience with Computer Vision with real-world product impact
    • Experience with cloud platforms, databases, large scale data pipelines

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. Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impact
  • Competitive compensation
  • Fully employer-covered medical, dental and vision insurance!
  • Further benefits such as catered lunch, yummy snacks, and variety of drinks, life insurance, employer contributed retirement account, therapy, yoga, office-wide socials and much more.
  • 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
  • This is a full-time role based in our office in California. 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, religious belief, marital status, protected veteran status, or any other legally protected status.

Engineering Director – Evaluation and Validation employer: Wayve

Wayve is an exceptional employer, offering a unique opportunity to shape the future of autonomous driving within a dynamic and fast-paced environment. With a strong focus on employee growth, competitive compensation, and a culture that values respect and collaboration, you will thrive alongside talented individuals while enjoying benefits like fully covered health insurance, catered lunches, and a hybrid working policy that supports work-life balance. Located near King’s Cross in London or in Mountain View, CA, Wayve fosters innovation and inclusivity, making it an ideal place for those looking to make a meaningful impact.

Wayve

Contact Details:

Wayve Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Engineering Director – Evaluation and Validation

Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.

Tip Number 2

Prepare for interviews by practising common questions and scenarios related to the role. We all know that confidence is key, so get comfortable talking about your experience and how it aligns with the job.

Tip Number 3

Showcase your passion for the field! When you’re in an interview, let your enthusiasm for engineering and AI shine through. It’s not just about skills; it’s about how much you care about making an impact.

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 are proactive about joining our mission.

We think you need these skills to ace Engineering Director – Evaluation and Validation

Team Leadership
Resource Allocation
Program Planning
Neural Network Understanding
Simulation of Physical Systems
Code Development Practices
Testing and Serviceability

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Engineering Director role. Highlight your leadership experience, especially managing teams of 25+ engineers, and any relevant domain skills in AI or robotics.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about autonomous driving and how your vision aligns with Wayve's mission. Share specific examples of how you've driven impact in previous roles, particularly in tech strategy and team growth.

Showcase Your Technical Skills:Don’t forget to mention your technical expertise! Whether it’s your understanding of neural networks or your experience with simulation tools, make sure we see how you can contribute to our Evaluation and Validation group.

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 this exciting opportunity at Wayve!

How to prepare for a job interview at Wayve

Know Your Stuff

Make sure you have a solid understanding of the technical aspects related to Evaluation and Validation. Brush up on neural networks, simulation techniques, and safety validation processes. Being able to discuss these topics confidently will show that you're not just a leader but also a knowledgeable engineer.

Showcase Your Leadership Skills

Prepare examples of how you've successfully led teams in the past, especially in growing team sizes or implementing new practices. Highlight your experience in resource allocation and program execution, as this role requires strong management skills to guide a growing team effectively.

Align with Company Goals

Understand Wayve's mission and how the Evaluation and Validation group fits into it. Be ready to discuss how you can contribute to the company's objectives and culture. This shows that you're not just looking for a job, but that you're genuinely interested in being part of their vision.

Ask Insightful Questions

Prepare thoughtful questions about the company’s current challenges in AI validation and how they envision the future of autonomous driving. This demonstrates your interest in the role and helps you gauge if the company aligns with your career aspirations.