Engineering Manager, App SW - Embedded

Our Application Software US team brings Wayve's autonomous driving technology onto customer vehicle platforms, driving localisation and advancing our capabilities for the US market. Working at the intersection of our AI software stack, embedded systems and automotive hardware, the team enables reliable performance across diverse systems-on-chip (SoCs) and operating systems. This is a leadership role to build and lead this high-impact team, hiring and mentoring engineers while leading the bring-up and early validation of our AI software stack on customer hardware. Wayve is building the leading AI platform for autonomous driving using an end-to-end AI approach.

Responsibilities

Build and lead an engineering team in the US, hiring and mentoring top talent while providing hands-on technical leadership; lead software bring-up on customer hardware platforms, such as NVIDIA DRIVE and Qualcomm Ride, including porting and configuring Linux, QNX and Adaptive AUTOSAR environments; validate drivers, middleware and boot-time configurations, partnering with OEM and Tier 1 teams to resolve hardware-specific integration issues; collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL and test infrastructure, automating setup, flashing, health checks and test execution; make Wayve's AI software stack run reliably on customer hardware, including operating system configuration, board support packages, drivers, middleware, boot-time behaviour, system-level diagnostics, logging and secure boot configuration; establish repeatable integration and testing workflows across automotive platforms

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; demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings; deep knowledge of embedded Linux, including Yocto, systemd, bootloaders and device trees; familiarity with configuring and debugging QNX and Adaptive AUTOSAR on target hardware; experience bringing up automotive-grade SoCs such as NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas or TI; comfortable with hardware debuggers, flashing tools, serial consoles, BSPs and protocols including CAN, Ethernet, PCIe, SPI and I2C; experience integrating embedded platforms into CI/CD pipelines and test automation frameworks

Nice to have

Exposure to automotive verification environments, including HIL systems, Vector toolchains or custom CI rigs; experience with tools such as Docker, Jenkins, Git and JFrog Artifactory; experience in safety-critical development, including ISO 26262, boot-time determinism and watchdogs; knowledge of secure boot, over-the-air updates and system-level cybersecurity; passion for autonomy and eagerness to learn

Benefits

Salaries benchmarked against the market annually; meaningful equity; relocation support and visa sponsorship where applicable; hybrid working and core hours; chance to work hands on in vehicle workshops and labs; learning and development budgets 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 and team socials