Cloud Acceleration Engineer – DPU & AI Infra

Highlights

• Build foundational compute infrastructure for ByteDance and Volcano Engine cloud.
• Shape next wave of cloud-scale computing for AI and distributed workloads.
• Drive end-to-end optimization to advance reliability and low-latency performance.

What they offer

• Discretionary bonuses/incentives and restricted stock units
• Medical, dental and vision insurance from day one
• 401(k) savings plan with company match
• Paid parental leave, life insurance and disability coverage
• 10 paid holidays, 10 sick days and 17 days of Paid Personal Time

Ideal candidate

Low-level systems builder fascinated by hardware-software co-design and cloud-scale performance. You enjoy deep optimization and shaping next-generation AI infrastructure with hardware teams.

Requirements

• B.S./M.S. in Computer Science, Computer Engineering or related field, or Ph.D. with strong research/publications
• 2+ years of relevant industry experience (exception for Ph.D. with strong background)
• Proficiency in C/C++ development and debugging
• Strong Linux systems development experience
• Solid understanding of compute, network architecture and operating systems
• Background in software-hardware co-design, distributed systems, high-performance networking, or AI/ML systems
• Experience with software-hardware co-design for networking, storage or distributed compute
• Hands-on experience with network virtualization (OVS, SR-IOV, eBPF)
• Familiarity with DPDK and high-performance user-space networking
• Hardware acceleration experience with FPGA/ASIC/GPU/CUDA
• Experience with NCCL collectives, AI communication patterns and parallelization techniques
• Experience building AI/ML infrastructure such as inference KV cache or data preprocessing systems