Senior Cloud Acceleration Engineer – DPU & AI Infra

What you'll do

• Develop reliable, low-latency DPU network software and collaborate with hardware teams on networking and storage acceleration.
• Optimize AI/ML distributed training and inference using DPUs, GPUs, and custom hardware.
• Optimize performance from OS kernels and drivers through user-space runtimes, and contribute to architecture and research direction.

What they ask for

• B.S./M.S. in Computer Science, Computer Engineering, or a related field, or a Ph.D. with strong research/publications.
• 3+ years of relevant industry experience; exception for Ph.D. candidates with a strong background.
• Proficiency in C/C++ development and debugging, and strong Linux systems development experience.
• Solid understanding of compute, network architecture, and operating systems; background in at least one of software-hardware co-design, distributed systems, high-performance networking, or AI/ML systems.

Nice to have

• Ph.D. in a related field with research training and publications.
• Experience with software-hardware co-design, network virtualization (OVS, SR-IOV, eBPF), DPDK, hardware acceleration, NCCL Collectives, or AI/ML infrastructure.

Tools

C/C++, Linux, OVS, SR-IOV, eBPF, DPDK, FPGA, ASIC

AI focus

Accelerate AI/ML infrastructure, including distributed training and inference, using DPUs, GPUs, and custom hardware; preferred experience includes inference KV cache systems, data preprocessing, NCCL Collectives, AI communication patterns, and parallelization techniques.