Overview We are looking for a GPU Performance Engineer to build highly optimized CUDA kernels for low-latency inference. This role is focused on workloads where off-the-shelf runtimes and vendor libraries do not fully exploit the structure of
Essential Duties and Responsibilities: - Design, implement, and optimize enterprise SaaS and PaaS platform architectures, automation solutions, and deployment frameworks to improve scalability, availability, security, and operational efficiency. - Lead the evaluation, design, and implementation of
Title: Middleware Engineer Location: 3 days’ on-site required in one of these locations Malvern, PA Charlotte, NC Plano, TX Duration: 6 Month Contract to Hire only for USC, GC, GC EAD Interview Process: 2 MS Team
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