Senior Cloud Acceleration Engineer - DPU & AI Infrastructure (Multiple Positions)

What you'll do

• Develop high-performance, low-latency, reliable DPU networking software and co-design solutions with hardware teams.
• Optimize performance across OS kernels, drivers, and user-space runtime systems; explore acceleration for AI/ML infrastructure.
• Contribute to architecture and research directions, technical proposals, and mentoring junior team members.

What they ask for

• At least 2 years of experience with each: writing testable, maintainable, low-latency software in a high-level language; GPU- or ASIC-based computing for machine learning; programming in Linux using C/C++, CUDA, or Python; maintaining and debugging software services; and analyzing error logs and resolving, documenting, and preventing issues.
• Experience with high-level programming languages including Golang, Java, Python, or C++.
• Must meet one education/experience path: a master's degree or foreign equivalent in a listed or related field plus 2 years of related experience; or a bachelor's degree or foreign equivalent in a listed or related field plus 5 years of post-bachelor’s progressive related experience.

Pay

USD $207480 - $368220 per year (base salary)

Tools

Golang, Java, Python, C++, Linux, CUDA, GPU, ASIC

AI focus

Explore AI/ML infrastructure acceleration using DPUs, GPUs, and custom hardware to optimize distributed training and inference.