Research Engineer Graduate (AI Infra Compute) - 2027 Start (PhD)

ByteDance

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

Qualifications

  • PhD in Computer Science, Computer Engineering, or a related field.
  • Experience in LLM training infrastructure, including post-training workload optimization.
  • Experience in LLM inference infrastructure and GPU kernel optimizations.
  • Familiarity with AI Agent Infrastructure and coding agents.
  • Strong communication, teamwork skills and a commitment to continuous learning.

Responsibilities

  • Develop technologies to enhance our AI infrastructure stack.
  • Collaborate with academia and open-source communities on joint projects.
  • Stay updated on latest technologies and conduct deep-dive analyses.
  • Publish research findings and product insights in academic papers.

Benefits

  • Medical, dental, and vision insurance available from day one.
  • 401(k) savings plan with company match.
  • Paid parental leave and short/long-term disability coverage.
  • Life insurance and wellbeing benefits.
  • 10 paid holidays and 10 paid sick days each year.
  • 17 days of Paid Personal Time, with accrual increases by tenure.
Full Job Description
Responsibilities About the team Compute division focuses on building large-scale and highly available cloud infrastructure, which supports both public cloud products (like VolcEngine ECS service) and the internal products. The Compute-US team focuses on the development and research of the compute infrastructure platform. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Responsibilities - Develop key technologies to optimize our AI Infra stack, including training infra, inference infra, and AI agents. - Work with academia and open source communities on joint development. - Follow the latest technologies from academia or industry and conduct deep-dive analysis. - Present our research and products in academic papers. Qualification Minimum Qualifications: - Individuals who are completing or have recently completed a PhD degree in Computer Science, Computer Engineering, or a related discipline. - Experience with at least one of the following areas: - LLM training infra, including optimizations for various post-training workloads such as RL training, knowledge distillation, etc. - LLM inference infra, including inference engine performance improvements, more efficient execution parallelism, GPU kernel optimizations, etc. - AI Agent Infra, including computer-use agents, coding agents, agent memory, agent sandbox, etc. - Commit to proactive continuous learning, demonstrate enthusiasm for AI technologies, and exhibit a strong ability to quickly grasp and apply new technologies. - Good communication and teamwork skills. Preferred Qualifications: - Frequent contributors or maintainers in AI Infra related open source communities such as vLLM or SGLang. - Having CS conference publications such as OSDI or MLSys. 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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