Senior Research Scientist
Full-time
ByteDance
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.
- Research AI/ML infrastructure acceleration for distributed training and inference using DPUs, GPUs, and custom hardware.
- 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 3 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.
- Strong 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.
- Additional preferred experience includes hardware acceleration with FPGA, ASIC, GPU, or CUDA; NCCL collectives; AI communication patterns; parallelization techniques; and AI/ML infrastructure such as inference KV-cache or data-preprocessing systems.
Vacancy posted 6 days ago
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