Full Job Description
Responsibilities - Maintain the stable operation of machine learning systems and support the stages of large-model development, training and deployment. - Manage and plan the company's GPU resources, including cost and budget, across GPU / CPU machines, storage and related resources; provide resource data to support management decisions. - Drive stability governance for clusters and production services; improve resource utilization and operational efficiency through platform-based, systematic approaches. - Operate disaster recovery, service deployment and machine lifecycle management across multiple regions and data centers; provide a stable and efficient GPU operating environment. - Provide operational support for systems and services; participate in troubleshooting of production and system issues.
Qualification
Minimum Qualifications - 1+ years of experience in DevOps, SRE or infrastructure engineering projects. - Proficient in at least one or two of Go / Python / Shell in a Linux environment. - Experience operating resource management and job scheduling systems for distributed systems; familiar with the Kubernetes ecosystem and architecture. - Familiar with containerization technologies such as Docker / Kata. - Strong sense of ownership and responsibility, with excellent learning agility, communication, self-motivation, and teamwork skills, as well as strong analytical and logical thinking abilities to effectively abstract and break down complex business logic. Preferred Qualifications - Hands-on experience operating GPU clusters or ML training / inference platforms. - Familiarity with observability tooling (metrics, logging, alerting) and on-call practices. - Contributions to automation or platform tooling that measurably improved resource utilization or operational efficiency.
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $218400 - $387600 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.
