Full Stack Engineer, Wayve

Onboard Experience

Salary not provided
React
TypeScript
Linux
Android
C++
Rust
Angular 8+
Junior, Mid and Senior level
London

2-5 days a week in office

Wayve

Autonomous mobility driven by AI

Open for applications

Wayve

Autonomous mobility driven by AI

201-500 employees

B2CB2BArtificial IntelligenceCarsTransportBig dataDeep TechRoboticsFlexible workingComputer VisionMachine LearningSaaSCloud Computing

Open for applications

Salary not provided
React
TypeScript
Linux
Android
C++
Rust
Angular 8+
Junior, Mid and Senior level
London

2-5 days a week in office

201-500 employees

B2CB2BArtificial IntelligenceCarsTransportBig dataDeep TechRoboticsFlexible workingComputer VisionMachine LearningSaaSCloud Computing

Company mission

To reimagine autonomous mobility through embodied intelligence.

Role

Who you are

  • Problem-solving: Ability to create simple solutions to complex problems with appropriate trade-offs
  • Frontend Development: Strong understanding of modern browser APIs, familiarity with frameworks such as React or Angular, and TypeScript
  • Backend Development: Comfortable working in Linux environments, proficient in Rust or C++
  • Collaboration: Eagerness to collaborate and share knowledge with your team
  • Networking: Practical understanding of browser networking and protocols

Desirable

  • Robotics and Real-time Systems: Experience with robotic and real-time systems
  • Typed API Schemas: Familiarity with evolving strongly typed API schemas
  • Frontend Performance: Experience handling complex data access and rendering performance in frontend development. Deep understanding of React and architecting scalable applications
  • Educational Background: A degree in Computer Science, Electrical Engineering, or a related field

What the job involves

  • Unlike typical full-stack engineering roles, this position at Wayve involves creating the entire software stack to interface with self-driving vehicles
  • You'll tackle genuine full-stack challenges, from supporting an Android Auto UI to developing AI-driven verbal interfaces for vehicles to parsing CAN-bus messages on the vehicle
  • You'll work on projects for our internal fleet, offering a wide degree of latitude, and for our external customers, providing a significant impact
  • Additionally, you'll be creating user experiences for the forefront of self-driving vehicles
  • Implement onboard services to provide access to automotive systems: You’ll be developing and integrating services for communication with vehicle hardware and software
  • Building critical frontend UIs for vehicle operators, engineers and passengers: Design and create user-friendly interfaces that enhance the experience for vehicle operators and passengers
  • Ensure code adheres to safety, security, and performance requirements: You’ll be collaborating with security to ensure we’re following best practices to maintain high standards of safety, security, and performance
  • Collaborate with engineers, vehicle operators, and other stakeholders to design and iterate on tools: Work with a diverse team to create and improve tools that meet user needs
  • Ensure onboard services are well-tested, efficient, and observable: Implement testing and monitoring strategies to ensure reliability and efficiency
  • Provide support and collaborate on debugging efforts: Offer support and work with the team to debug and resolve issues quickly and effectively

Salary benchmarks

Our take

Wayve is developing artificial intelligence (AI) that teaches cars to drive autonomously using reinforcement learning, simulation, and computer vision. Wayve’s core premise is that the big breakthrough in self-driving cars will come from better AI brains rather than more sensors or “hand-coded” rules which it believes are highly restrictive and not at all scalable.

The company said that it trains its autonomous driving system using simulated environments and then transfers that knowledge into the real world, where it emulates how humans adapt to conditions in real time. It ultimately relies on end-to-end deep learning AI rather than hard-engineered AI. This is one of the world's hardest problems to solve, but Wayve has made an exciting start and is taking a very different approach to competitors like Uber and Waymo, who are relying more on sensors.

Following a few years of innovative breakthroughs, Wayve now has backing from high-profile investors such as Microsoft and angels, including Uber's chief scientist Zoubin Ghahramani and Pieter Abbeel, a UC Berkeley robotics professor and pioneer of deep reinforcement learning. The company's strategic partnerships with outfits like Asda and Ocado to test-run autonomous deliveries, as well as publicity through the Minister is a show of confidence in the future of Wayve's solution to autonomous driving.

Kirsty headshot

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

Some candidates hear
back within 2 weeks

28% female employees

24% employee growth in 12 months

Company

Funding (last 2 of 7 rounds)

May 2024

$1.1bn

SERIES C

Jan 2022

$200m

SERIES B

Total funding: $1.3bn

Company benefits

  • Learning budget
  • In-house chef
  • Flexible Working
  • Private health insurance and therapy
  • Workplace nursery scheme
  • Onsite bar
  • Large social budgets
  • Enhanced parental leave

Company values

  • Pave new roads, explore unknown horizons: We take calculated risks and embrace unknown territory
  • Leave positive tracks: A big reason for working on autonomous vehicles is for the positive impact they can have to the environment, the lives they will save, the opportunities they will create for others and more!
  • Autonomous in thought, collective in action: We are built of strong, curious individuals coming from all walks of life, but who, together, want to achieve a common goal.
  • Drive each other forward: We are a company that stands strong upon the foundation which it has created. This foundation is the team, the individuals who make Wayve, Wayve.

Company HQ

London, UK

Leadership

Has a PhD from Cambridge in Computer Vision & Robotics. Previously Research Engineer at Skydio and Advisor to Scape Technologies

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