Wayve

Technology

EmbeddedAutomotivePlatformsSoftwareEngineer

£75–110k ~AI est. London, England, United Kingdom FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Embedded Automotive Platforms Software Engineer at Wayve. Skills: Embedded Automotive Platforms, AI Software, Autonomous Driving. Design embedded software. Develop embedded software”

Industry & Context.

Technology
Problems you'll solve

Problem solving; Troubleshooting; Debugging

What They're Looking For.

Must Have

Bachelor's degree in Computer Science, Embedded software development experience, Proficiency in C++ programming, Experience with embedded operating systems, Proficiency in profiling and tracing tools, Familiarity with hardware abstraction layers, Debugging skills and attention to detail

Nice to Have

Experience developing autonomous vehicle software, Experience with NVIDIA Drive Orin, Experience with Qualcomm automotive platforms, Experience with inference algorithms, Experience with localisation algorithms, Experience with control algorithms, Experience with navigation algorithms, Experience with odometry, Experience with vehicle interfaces, Knowledge of sensor technologies, Experience developing platform SDKs, Experience developing platform APIs, Experience developing software frameworks, Understanding of safety-critical software development, Understanding of automotive standards

What You'll Do.

Design embedded software

Develop embedded software

Maintain embedded software

Develop hardware abstraction layers

Integrate critical AV functions

Adapt critical AV functions

Work across Linux systems

Work across QNX systems

Minimize platform-specific customization

Troubleshoot software

Improve software performance

Ensure operational excellence

Collaborate with cross-functional teams

Collaborate with hardware vendors

Collaborate with automotive partners

Ensure seamless integration

Participate in architecture reviews

Participate in testing

Participate in code reviews

Participate in documentation

Participate in automotive software quality processes

How You'll Work.

Team & Collaboration

Cross-functional teams; Hardware vendors; Automotive partners

Communication Scope

Communication

Process & Methodology

Agile

Full Job Description

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role As a member of the Embedded Automotive Platforms team, you will contribute towards the creation of a software platform that interfaces with the automotive embedded hardware and Wayve Driving Model. This includes developing abstractions and APIs that enable Wayve’s software and robotics teams to deploy AV software efficiently. Your role involves understanding the capabilities and nuances of various deployment platforms and creating abstractions that minimise the need for Onboard Applications to be customised for each target platform. You will play a crucial role in advancing Wayve’s AV technology. Your contributions will drive the efficiency, maintainability, and scalability of the embedded systems that underpin our autonomous vehicles. Key responsibilities: Design, develop, and maintain embedded software, SDKs, APIs, and hardware abstraction layers that enable autonomous driving capabilities to run consistently across automotive platforms. Integrate and adapt critical AV functions, in

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