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Software Engineer Intern; Agentic AI Engine - Data Management platform - Summer; BS​/MS

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: TikTok
Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-07-11
Job specializations:
  • Software Development
    Software Engineer, Backend Developer, AI Engineer (Applied/Software), Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 45 USD Hourly USD 45.00 HOUR
Job Description & How to Apply Below
Position: Software Engineer Intern (Agentic AI Engine - Data Management platform) - 2026 Summer (BS/MS)

Software Engineer Intern (Agentic AI Engine - Data Management platform) - 2026 Summer (BS/MS)

Location:

San Jose

Employment Type:

Intern

Responsibilities

Team Introduction:
Join us in pushing the boundaries of AI technology and creating the next generation of intelligent systems that will transform data platforms. We are seeking a highly skilled and innovative Software Engineer to join our cutting‑edge Agentic Engine team. As part of a division of the data platform team which focuses on LLM adoption, you will have the opportunity to work with state‑of‑the‑art AI technologies and design architectures that apply LLMs to real‑world industry challenges in data development platform areas.

This role puts you at the forefront of AI innovation, shaping the future of intelligent systems. We are looking for talented individuals to join us for an internship in 2026. Internships at our Company aim to offer students industry exposure and hands‑on experience.

  • Design and implement an offline/real‑time data architecture for large‑scale recommendation systems.
  • Design and implement a flexible, scalable, stable, and high‑performance storage system and computation model.
  • Troubleshoot production systems, and design and implement necessary mechanisms and tools to ensure the overall stability of production systems.
  • Build industry‑leading distributed systems such as offline and online storage, batch, and stream processing frameworks, providing reliable infrastructure for massive data and large‑scale business systems.
Minimum Qualifications
  • Currently pursuing an Undergraduate/Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • Able to commit to working for 12 weeks during Summer 2026.
  • Proficiency in common big data processing systems like Spark/Flink at the source code level is required, with a preference for experience in customizing or extending these systems.
  • A deep understanding of the source code of at least one data lake technology, such as Hudi, Iceberg, or Delta Lake.
  • Knowledge of HDFS principles is expected, and familiarity with columnar storage formats like Parquet/ORC is an additional advantage.
Preferred Qualifications
  • Prior experience in data warehousing modeling.
  • Proficiency in programming languages such as Java, C++, and Scala, with strong coding skills and the ability to troubleshoot effectively.
  • Experience with other big data systems/frameworks like Hive, HBase, or Kudu.
  • A willingness to tackle challenging problems without clear solutions, a strong enthusiasm for learning new technologies, and prior experience in managing large‑scale data (in the petabyte range).

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here:

Job Information

The hourly rate range for this position in the selected city is $45- $45.

Benefits

Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for a housing allowance. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

EEO

Statement

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:

  • Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
  • Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
  • Exercising sound judgment.
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