Our client has developed the next-generation of Tensor Processing Units. Custom-designed AI accelerators, which are optimised for training & inference of large AI models. With working prototypes already, they are now looking to scale the business as quickly as possible. We’re seeking a highly experienced & motivated individual to design & build the software architecture for our next-generation GPUs. This role demands deep expertise in C & C++ programming, low-level programming, compiler construction & optimisation techniques. Role: Staff Software Engineer Location: London Salary: DOE / Competitive benefits Responsibilities Design & develop the software architecture for the next-generation TPU, ensuring high performance & scalability. Collaborate with hardware engineers to integrate software & hardware components seamlessly. Optimise software performance through advanced techniques in low-level programming & compiler design. Develop & maintain machine learning frameworks & tools to leverage the full potential of the TPU. Conduct code reviews, provide technical mentorship, & guide other team members in best practices. Stay current with industry trends & advancements in GPU technologies, machine learning, & optical computing. Lead & participate in the development of technical documentation & specifications. Drive innovation & contribute to the strategic direction of the software engineering team. Skills & Experience 8 years of experience in software engineering with a focus on C & C++ programming. Extensive experience in compilers, low-level programming, & optimisation techniques. Proven expertise in machine learning & its applications in high-performance computing. Strong problem-solving skills & the ability to think critically & creatively. Experience in high-pace, dynamic work environments. Bachelor's degree in computer science, electrical engineering, telecoms engineering, mathematics, or a related field. Excellent teamwork & communication skills, with the ability to collaborate effectively with cross-functional teams. Personal projects are a key differentiating factor & hold more weight than other requirements.