Large Language Model Inference System Engineer Graduate (Applied Machine Learning) - 2027 Start

ByteDance

$128K — $256K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science or related field preferred.
  • Understanding of algorithms, design patterns, and data structures.
  • Proficient in programming languages like C++ or Python.
  • Knowledge of GPU hardware architecture and high-performance computing software stacks (e.g., CUDA).
  • Interest in distributed systems and large-scale inference optimization.

Responsibilities

  • Develop and enhance the Volcano Ark MaaS inference system.
  • Optimize performance, cost, and stability of large model inference.
  • Implement system-level strategies to reduce inference costs.
  • Explore and apply multi-role and elastic computing frameworks.
  • Work on heterogeneous inference and multi-tenant co-located inference.

Benefits

  • Medical, dental, and vision insurance from day one.
  • 401(k) savings plan with company match.
  • Paid parental leave and disability coverage.
  • 17 days of Paid Personal Time plus 10 paid holidays.
  • Wellbeing benefits to support employee health.
Full Job Description
Responsibilities: - Participate in the engineering development of the Volcano Ark MaaS inference system, optimizing large model inference performance, cost, and stability in ultra-large-scale heterogeneous inference clusters. - Reduce large model inference costs through system-level approaches such as disaggregated multi-role inference, distributed KV Cache systems, heterogeneous inference, elastic computing, and multi-tenant co-located inference. Qualification Minimum Qualifications: - Individuals who are completing or have recently completed a Bachelor's or Master's degree in Computer Science or a related discipline. - Strong command of algorithms, design patterns, and data structures, with solid knowledge of operating systems and computer architecture. - Proficient in one or more programming languages such as C++ or Python, with good coding style. - Understands GPU hardware architecture, is familiar with high-performance computing software stacks such as CUDA, and has experience in GPU performance analysis. - Strong interest in distributed systems and large-scale heterogeneous inference; enjoys studying low-level principles and performance bottlenecks, and actively follows progress in related fields. Preferred Qualifications: - Experience in large model inference system optimization, with practical understanding of PD disaggregation, KV Cache systems, and multi-node inference. - Experience in distributed network communication optimization, with deep understanding of distributed communication operator implementation and RDMA principles. - Familiarity with resource orchestration and scheduling frameworks such as Kubernetes and Ray. Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $128000 - $256000 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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