Senior Research Scientist - DPU & AI Infra

ByteDance

$207K — $368K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • B.S./M.S. in Computer Science, Computer Engineering, or related fields; Ph.D. with strong research/publications is a plus.
  • 3+ years of relevant industry experience (Ph.D. candidates may have an exception).
  • Proficiency in C/C++ development and debugging is required.
  • Strong experience in Linux systems development is essential.
  • Solid understanding of compute and network architecture, as well as operating systems, is crucial.
  • Familiarity with software-hardware co-design, distributed systems, or AI/ML systems is needed.

Responsibilities

  • Design and develop DPU network software with a focus on high performance, low latency, and reliability.
  • Collaborate with hardware teams to create software-hardware co-design solutions for networking and storage acceleration.
  • Leverage hardware to enhance AI/ML infrastructure acceleration, optimizing distributed training and inference.
  • Drive end-to-end performance optimization across OS kernels, drivers, and user-space runtime systems.
  • Contribute to architecture design and technical proposals, influencing long-term research directions.

Benefits

  • Day one access to medical, dental, and vision insurance.
  • 401(k) savings plan with company match.
  • Paid parental leave and disability coverage (short-term and long-term).
  • Life insurance and wellbeing benefits.
  • 10 paid holidays and 10 paid sick days per year, plus 17 days of Paid Personal Time that increases with tenure.
Full Job Description
Responsibilitie

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 - B.S./M.S. in Computer Science, Computer Engineering, or related fields; or Ph.D. with strong research/publications. - 3+ 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. Preferred Qualifications - Ph.D. in related fields with research training and publications. - 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 $207480 - $368220 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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