ByteDance is looking to advance the architecture, development, and research of next-generation software-hardware technologies across compute, networking, and storage for cloud and AI computing
Requirements
- Proficiency in C/C++ development and debugging
- 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
- Experience with software-hardware co-design (networking, storage, or distributed compute)
- Hands-on experience with network virtualization (OVS, SR-IOV, eBPF)
- Familiarity with DPDK and high-performance user-space networking
Responsibilities
- Design and develop DPU network software with a focus on high performance, low latency, and reliability
- Collaborate with hardware teams to build software-hardware co-design solutions for networking and storage acceleration
- Explore AI/ML infrastructure acceleration, leveraging DPUs, GPUs, and custom hardware to optimize distributed training and inference
- Drive end-to-end performance optimization, from OS kernels and drivers to user-space runtime systems
- Contribute to architecture design, technical proposals, and long-term research directions
Other
- B.S./M.S. in Computer Science, Computer Engineering, or related fields; or Ph.D. with strong research/publications
- 5+ years of relevant industry experience (exception for Ph.D. with strong background)
- Travel requirements not mentioned
- Clearance requirements not mentioned
- Ph.D. in related fields with research training and publications (preferred)
