10 дней назад
Software Engineer, AI Infrastructure - USDS (AI)
122 574 - 259 200$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Software Engineer, AI Infrastructure - USDS (AI): Building and operating large-scale, globally distributed infrastructure for TikTok's recommendation and search systems with an accent on observability, automation, and fault tolerance. Focus on deploying production services, developing Python or Go automation tools, monitoring service performance, and optimizing cloud resource utilization.
Location: San Jose R&D; fully in-person schedule up to 5 days a week
Salary: $122,574–$259,200 annually, with potential bonuses, incentives, and restricted stock units.
Company
USDS Joint Venture helps protect U.S. user data, applications, algorithms, and the content ecosystem for the TikTok apps operated in the United States.
What you will do
- Assist with the deployment, operation, and optimization of recommendation and search systems throughout their lifecycle.
- Develop and maintain internal software and automation scripts that eliminate manual work and improve R&D velocity.
- Support the availability of large-scale services across global data centers through proactive monitoring and maintenance.
- Track and report cloud resource utilization to support efficiency goals and cluster SLAs.
- Configure and manage monitoring stacks for service latency, health metrics, and system performance.
Requirements
- Bachelor’s degree in Computer Science or a related technical field and at least one year of professional software development or infrastructure experience.
- Solid understanding of Linux systems, networking fundamentals, and distributed systems.
- Proficiency in Python or Go for clean, efficient automation tools.
- Experience with Docker and basic CI/CD pipelines such as Jenkins, GitLab CI, or GitHub Actions.
- Experience with agentic frameworks and tools development, plus strong troubleshooting and communication skills.
Nice to have
- Experience or internships in SRE, DevOps, or internal platform engineering.
- Familiarity with Kubernetes.
- Basic understanding of the machine learning lifecycle or model inference workflows.
Culture & Benefits
- Medical, dental, and vision insurance from day one.
- 401(k) savings plan with company match, paid parental leave, disability coverage, and life insurance.
- Wellbeing benefits, 10 paid holidays, 10 paid sick days, and paid personal time.
- Inclusive workplace focused on curiosity, humility, continuous learning, and collaboration.
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