We are looking to build a superb team of GPU and CUDA focused Software Engineers to guide the design and development of GPU-based solutions that address demanding AI/ML workloads. You'll join a rapidly expanding organization determined to push the boundaries of AI and parallel computing. Their leadership team has a proven track record in bringing advanced technologies to market and prioritizes efficient GPU architecture. The environment is agile, encourages autonomy, and values continuous improvement. Engineers here have direct influence over product direction, driving innovation at both software and hardware levels. We are seeking those with world class experience across CUDA, writing high performance parallelized code, owning the implementation of CUDA based modules and shape how the companies AI stack evolves, and those from strong low level GPU programming backgrounds, with a focus on owning and customizing GPU compute pipelines in a Rust environment. There are multiple roles available in these areas and your background may include: World class CUDA expertise Strong low level GPU programming (Kernel level, hardware interaction) Rust experience (although open to C++) What We Can Offer You: The chance to work with a leadership group with a proven track record of advanced product delivery A technically challenging position at the heart of next-generation AI products A culture of open collaboration, knowledge sharing, and rapid iteration Direct influence on product roadmaps and architectural decisions
