A fast-growing AI startup is seeking a CUDA Kernel Engineer to design and optimize NVIDIA CUDA kernels. This position is remote and requires hands-on experience with GPU architecture and performance tuning. Ideal candidates will have a deep understanding of CUDA and GPU memory hierarchy. Benefits include competitive salary, equity options, and a sign-on bonus. This role provides an excellent opportunity to impact production AI systems at scale in a dynamic environment.
Remote CUDA Kernel Engineer: Optimize AI GPU Performance in Adelaide employer: Pragmatike
Pragmatike offers competitive salaries, equity options, and sign-on bonuses, making it an attractive employer for professionals in the AI field. The company fosters a dynamic work environment where employees can significantly impact large-scale AI systems used by Fortune 500 clients. With opportunities to work on cutting-edge technology and collaborate with experts from MIT CSAIL, Pragmatike supports professional growth and innovation.
