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.
About usFounded 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!
In this role, you will focus on the host-side software and hardware interactions that ensure optimal data transfer and resource management for efficient AI inference on GPUs. Your work will enable our AI models to perform quickly and reliably, supporting the real-time decision-making needed for safe autonomous driving. This position requires a strong background in C++ programming, GPU optimisation across various vendor platforms (e.g., CUDA, OpenCL), and experience with system-level performance tuning.
Key responsibilities:
- Develop and optimise C++ code for efficient data transfer and latency management between the host and GPUs across diverse vendor platforms.
- Work with low-level system and memory management techniques to minimise latency and improve real-time inference performance.
- Utilise and implement GPU programming APIs (e.g., CUDA, OpenCL) to ensure high efficiency and compatibility across GPUs.
- Profile and debug system performance using tools like NVIDIA Nsight, Intel VTune, CLtracer, and vendor-specific profilers, identifying bottlenecks and implementing effective solutions.
- Collaborate closely with software, hardware and machine learning teams to ensure that data is managed, preprocessed, and made available to the GPU as quickly and efficiently as possible.
- Stay current with advances in GPU hardware, optimization techniques, and multi-vendor GPU programming approaches.
- Adhere to and promote industry best practices for real-time, low-latency processing in autonomous systems.
In order to set you up for success as a Software Engineer at Wayve, we’re looking for the following skills and experience.
Essential
- 3+ years of experience in C++ programming, with a strong grasp of modern C++ standards.
- Proven experience in GPU programming and optimization, with proficiency in CUDA, OpenCL, or other GPU programming frameworks.
- Strong knowledge of parallel computing concepts, including data locality, memory access patterns, and synchronisation.
- Proficiency with performance profiling tools and techniques for identifying and resolving system bottlenecks.
- Experience in system-level programming, including memory management, data alignment, and hardware-software interfacing.
- Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent commercial experience
Desirable
- Experience in real-time processing or embedded systems is highly advantageous.
- Familiarity with autonomous systems, robotics, or real-time AI inference is a plus.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Top Skills
Wayve London, England Office
London, United Kingdom
