System Architect, Wayve

Automotive

Salary not provided

+ Stock options

Senior and Expert level

London

More information about location

2-5 days a week in office (King's Cross, London)

Autonomous mobility driven by AI

Job no longer available

Autonomous mobility driven by AI

501-1000 employees

B2CB2BArtificial IntelligenceCarsTransportBig dataDeep TechRoboticsFlexible workingComputer VisionMachine LearningSaaSCloud Computing

Job no longer available

Salary not provided

+ Stock options

Senior and Expert level

London

More information about location

2-5 days a week in office (King's Cross, London)

501-1000 employees

B2CB2BArtificial IntelligenceCarsTransportBig dataDeep TechRoboticsFlexible workingComputer VisionMachine LearningSaaSCloud Computing

Company mission

To reimagine autonomous mobility with embodies intelligence, aiming to lead the world into a new era of autonomy.

Job

Company

Role

Who you are

You have a degree in computer science, engineering or a comparable field
You have proven experience (minimum 8 years) in designing and developing ADAS and L2/L3 autonomous systems for automotive applications
Extensive domain knowledge in autonomous driving software stacks
You have previously been involved in an automotive series project, demonstrating a comprehensive understanding of the automotive development process, ideally at an OEM or Tier1 or Tier2
You are familiar with the process of requirements engineering and traceability for automotive grade software and ASPICE
You are strong in negotiating system requirements and technical specifications across multiple stakeholders including internal and external partners and clients
You have strong understanding of Classical and Adaptive AutoSAR frameworks
You have a strong understanding of ISO 26262 functional safety standards and experience in applying safety concepts to automotive system design
You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it

Desirable

Extensive experience in machine learning technologies, especially as applied to autonomous driving is a plus
Familiarity with neural network architecture design and optimization for real-time embedded applications is a plus
Awareness of SOTIF process and its influence in systems design is a plus

What the job involves

Design the L2 and L3 system including the integration into an OEM onboard and offboard infrastructure with a focus on software features, architecture and interfaces
Engage on a deep technical level with our engineering leads to identify the optimal system design, considering safety, vehicle level integration, scalability, and implementation efficiency
Present our system design to customers and partners and negotiate adaptations between partners and Wayve’s engineering leeds
Lead the process of technical customer requirement review and negotiations during early stages of an OEM engagement as well as during the OEM program
Own the creation of the technical specification document of the L2/L3 system for both internal usage as well as partnership programs
Derive the system requirements and software requirements from customer requirements
Work closely with the engineering leads and test engineer leads to ensure traceability of our requirements, implementation and tests
Support the team to implement ASPICE and ASIL compliant processes

Salary benchmarks

Our take

Wayve is developing 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

Company Specialist at Welcome to the Jungle

Insights

Top investors

28% female employees

24% employee growth in 12 months

Glassdoor (4.6)

Company

Funding (last 2 of 8 rounds)

Feb 2026

$1.2bn

SERIES D

May 2024

$1.1bn

SERIES C

Total funding: $2.5bn

Company benefits

Private healthcare: Choose our optional health insurance for comprehensive coverage for you and your family.
Paid time off: Paid vacation plus public holidays and additional leave programs, ensuring you have time to unwind.
Mental health resources: Through Spill, you can access therapy and mental health support.
Community and socials: Join clubs or attend team socials to connect over hobbies, sports, or just for fun.
Competitive compensation: Our compensation package includes cash and equity, making you a true partner in our success.
Learning and development: Budgets for books, courses, and company-wide training to support your continuous growth.

Company HQ

London, UK

Leadership

Alex Kendall

(Co-Founder & CEO)

Alex has a PhD from Cambridge in Computer Vision & Robotics. Prior to Wayve, he was a Research Fellow at Trinity College, a Scientific Advisor at Scape Technologies, a Research Engineer at Skydio, and a Software Engineer at Beca.

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