Responsibilitie
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. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. 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 Master's 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 $121600 - $243200 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.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
