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About the Role

We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Every role here, whatever the team, plugs into that.

Responsibilities

Executing software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
Porting and configuring Linux-based systems, QNX and Adaptive AUTOSAR environments.
Integrating and validating drivers, middleware and boot-time configurations.
Working with Verification and Release teams to integrate hardware into CI/CD, HIL and test infrastructure.
Working with OEM and Tier 1 teams to resolve hardware-specific integration issues.
Implementing system-level diagnostics, logging and secure boot configuration.
Developing automation for setup, flashing, health checks and test execution on target hardware.
Defining and executing the strategy for integrating our autonomy stack into multiple OEM platforms.
Building the team and providing technical leadership across integration work.

Requirements

8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
Strong proficiency in C/C++, Bash, and Python.
Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.
Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.

Skills

C/C++
Bash
Python
Linux
QNX
Adaptive AUTOSAR
NVIDIA Drive
Qualcomm Ride
NVIDIA Orin
Qualcomm SA8295/SA8650
Renesas
TI
CAN
Ethernet
PCIe
SPI
I2C
CI/CD
HIL
Docker
Jenkins
Git
JFrog Artifactory

Location

London
Sunnyvale
Yokohama
Herzliya
Vancouver
Leonberg

Work Type

Hybrid

Experience Level

8+ years of experience in embedded or automotive software development

Salary/Compensations

Salaries benchmarked against the market annually

Benefits

Meaningful equity, sharing in the ownership and long term success of Wayve
Relocation support and visa sponsorship where applicable
Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
Learning and development budgets with support for training, conferences and growth
Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

About the Company

Wayve is building the leading AI platform for autonomous driving.
We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale.
Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it.
The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency.
We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines.
Our ambition is to make autonomy universal.
Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales.
In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere.
By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.

Equal Opportunity

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 sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.