Wayve

Principal Engineer, Software Platform

Mountain View, CA
Machine Learning
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Description

Who we are

Established in 2017, Wayve is a leader in autonomous vehicle technology, driven by breakthroughs in Embodied AI. Our intelligent, mapless, and hardware-agnostic technologies empower vehicles to navigate complex environments effortlessly. 

Supported by prominent investors, Wayve is advancing the transition from assisted to fully automated driving, making transportation safer, more efficient, and universally accessible. Join our world-class, multinational team of engineers and researchers as we push the boundaries of frontier AI and autonomous driving, creating impactful technologies and products on a global scale

Where you will have an impact

  • Ensuring software performance and efficiency end-to-end, working between embedded and distributed infrastructure on one side, and machine learning (training and inference) and robotics use cases on the other side
  • Anticipating technical roadblocks – feasibility, schedule delays, complex interdependencies
  • Contributing to the definition and execution of engineering roadmaps.
  • Making tough technical decisions putting in balance velocity, serviceability, sustainability
  • Setting and holding a high bar of software engineering practices – design, coding, test
  • Being a mentor to tech leads and managers across the software engineering organisation

What you will bring to Wayve

  • Experience as tech lead of teams or projects spanning 20+ software engineers
  • Deep understanding of system software, from hardware level to distributed systems
  • Experience in designing and implementing  software for complex systems
  • Experience delivering complex systems into production, and supporting them post-production
  • Experience communicating with senior stakeholders including executives

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.

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

 

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Wayve
Wayve
Artificial Intelligence Autonomous Vehicles Electric Vehicle Machine Learning Software

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