CuspAI is seeking a performance engineer to optimize large AI training on GPU clusters. You will profile workloads, tune CUDA/Triton kernels, and optimize inter-node communication while building dashboards to show hardware efficiency.
The role suits someone with hands-on HPC experience, comfortable working in a young company, and eager to directly influence AI research throughput and cost efficiency.
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AI Training GPU Performance Engineer in Cambridge employer: present of AI
H Company is an exceptional employer for Product Designers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, the company encourages continuous learning and experimentation, particularly in the evolving field of AI design. The inclusive culture fosters open communication with users and cross-functional teams, ensuring that every designer's voice is heard and valued, making it a truly rewarding place to advance your career.
