Research Scientist Graduate (DPU & AI Infra) - 2027 Start (PhD)

ByteDance

$153K — $300K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Recently completed or pursuing a PhD in a related technical field.
  • Proficient in C/C++ development and debugging.
  • Experience with Linux systems development.
  • Strong understanding of compute, network architecture, and operating systems.
  • Background in software-hardware co-design, distributed systems, or AI/ML systems.

Responsibilities

  • Design and develop high-performance DPU network software.
  • Collaborate with hardware teams on software-hardware co-design solutions.
  • Explore acceleration for AI/ML infrastructure using DPUs and GPUs.
  • Optimize end-to-end performance from OS kernels to user-space systems.
  • Contribute to technical proposals and long-term research directions.

Benefits

  • Access to medical, dental, and vision insurance from day one.
  • 401(k) savings plan with company match.
  • Paid parental leave and disability coverage.
  • 10 paid holidays and 10 paid sick days annually.
  • 17 days of Paid Personal Time, accruing with tenure.
Full Job Description
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. Qualification Minimum Qualifications - Individuals who are completing or have recently completed a PhD degree related technical discipline. - Proficiency in C/C++ development and debugging. - Familiar with 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. Preferred Qualifications - 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. Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $153900 - $300960 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. 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. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

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