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Cloud Acceleration Engineer

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Cloud Acceleration Engineer in USA

  • ByteDance
  • Full time
  • Email
  • 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 end to end 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 2 years of relevant industry experience, with an exception for Ph.D. candidates with a strong background.
  • Proficiency in C/C++ development and debugging.
  • Strong Linux systems development experience.
  • Solid 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 experience with network virtualization using OVS, SR-IOV, or eBPF.
  • Familiarity with DPDK and high-performance user-space networking.
  • Preferred hardware acceleration experience with FPGA, ASIC, GPU, or CUDA.
  • Experience with NCCL collectives, AI communication patterns, parallelization techniques, or AI/ML infrastructure such as inference KV-cache and data-preprocessing systems.

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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