Senior Cloud Acceleration Engineer

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Senior Cloud Acceleration Engineer in USA

ByteDance
Full time
Email

USA
09/09/2026
Report

Seattle, WA

Responsibilities

Design and develop high-performance, low-latency, reliable DPU network software.
Collaborate with hardware teams on software-hardware co-design for networking and storage acceleration.
Explore DPU, GPU, and custom hardware acceleration for distributed AI/ML training and inference.
Optimize performance across operating-system kernels, drivers, and user-space runtime systems.
Contribute to architecture design, technical proposals, and long-term research directions.

Requirements

Bachelor's or master's degree in Computer Science, Computer Engineering, or a related field, or a Ph.D. with strong research and publications.
At least 3 years of relevant industry experience, with an exception for candidates with a strong Ph.D. background.
Proficiency in C/C++ development and debugging.
Strong Linux systems development experience.
Understanding of compute architecture, network architecture, and operating systems.
Background in software-hardware co-design, distributed systems, high-performance networking, or AI/ML systems.
Preferred qualifications include a related Ph.D., research training and publications, network virtualization experience with OVS, SR-IOV, or eBPF, and familiarity with DPDK.
Experience with FPGA, ASIC, GPU, CUDA, NCCL collectives, AI communication patterns, parallelization techniques, or AI/ML infrastructure such as inference KV-cache and data-preprocessing systems is preferred.

ByteDance

ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This...

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