Graduate Research Scientist, Cloud AI Hardware

ByteDance; San Jose (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

ByteDance's DPU team in San Jose is building the foundational compute infrastructure for cloud and AI workloads, spanning software, hardware acceleration, and high-performance networking.

We welcome highly motivated graduates who want to tackle bold ideas, contribute to architecture, and grow with a rapidly evolving tech company. Please include your availability and graduation date in your resume.

Qualifications

• PhD in CS or related discipline required.
• Proficiency in C/C++ development and debugging.
• Linux systems development experience encouraged.
• Solid understanding of compute, networking, and OS concepts.
• Background in software-hardware co-design or AI/ML systems a plus.

Responsibilities

• Design and develop DPU network software with high performance and low latency.
• Collaborate with hardware teams for software-hardware co-design solutions.
• Explore AI/ML infrastructure acceleration using DPUs, GPUs, and hardware.
• Drive end-to-end performance optimization from kernels to user-space runtimes.
• Contribute to architecture design, proposals, and long-term research directions.

Skills

C/C++ development

Linux development

Computer networking concepts

Education

PhD in CS or related

Job description

ByteDance's DPU team in San Jose is building the foundational compute infrastructure for cloud and AI workloads, spanning software, hardware acceleration, and high-performance networking.

We welcome highly motivated graduates who want to tackle bold ideas, contribute to architecture, and grow with a rapidly evolving tech company. Please include your availability and graduation date in your resume.