ByteDance
Seattle, WA
Cloud Acceleration Engineer Graduate (DPU & AI Infra) - 2026 Start (PhD)
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- Location
- Seattle, WA
- Work type
- Onsite
- Compensation
- $148,000 - $301,000/yr
- Visa
- Sponsorship available
- Posted
- today
- Apply on
- joinbytedance.com
About this role
ByteDance is a global technology company known for its innovative products like TikTok and CapCut. They are seeking a Cloud Acceleration Engineer Graduate to join their DPU team, focusing on developing high-performance network software and collaborating on software-hardware co-design solutions for cloud and AI computing.
What you'll do:
- 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
What they're looking for:
- Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline
- 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 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
- Bonus points for hardware acceleration experience, FPGA/ASIC/GPU/CUDA
- Bonus points for experience with NCCL Collectives along with AI communication patterns and parallelization techniques
- Proven experience designing and building AI/ML infrastructure related but not limited to inference kv cache system, data preprocessing system
Benefits:
- Employees have day one access to medical, dental, and vision insurance
- A 401(k) savings plan with company match
- Paid parental leave
- Short-term and long-term disability coverage
- Life insurance
- Wellbeing benefits, among others.
- 10 paid holidays per year
- 10 paid sick days per year
- 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)
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