SWE, Inference Performance, Onboard

Wayve is seeking a skilled Software Engineer to join their Inference Performance team in London. This role focuses on optimizing host-side software and hardware interactions to ensure efficient AI inference on GPUs, which is crucial for real-time decision-making in autonomous driving systems. The ideal candidate will have a strong background in C++ programming, GPU optimization, and system-level performance tuning.

Responsibilities:

• Develop and optimize C++ code for efficient data transfer between host and GPUs.
• Work with low-level system and memory management techniques.
• Utilize GPU programming APIs (e.g., CUDA, OpenCL).
• Profile and debug system performance using tools like NVIDIA Nsight and Intel VTune.
• Collaborate with software, hardware, and machine learning teams.
• Stay current with advances in GPU hardware and optimization techniques.
• Adhere to industry best practices for real-time, low-latency processing.

Requirements:

• 3+ years of experience in C++ programming.
• Proven experience in GPU programming and optimization (CUDA, OpenCL).
• Strong knowledge of parallel computing concepts.
• Proficiency with performance profiling tools.
• Experience in system-level programming.
• Bachelor’s or Master’s degree in Computer Science or related field.

Wayve offers:

• Opportunity to work on cutting-edge AI technology for autonomous driving.
• A diverse, fair, and respectful culture.
• An inclusive work environment.