AI Systems Engineer Graduate (AI Code Infrastructure-Agentic Ops US) - 2027 Start

Responsibilities

The Agentic Ops US team focuses on two major areas: Code Graph and Quality Validation. The code graph serves as the data foundation for validation, encompassing static relationships (function calls, experiment/instrumentation dependencies) and dynamic execution paths (reconstructed from traces). Quality validation covers static rule checking (mining soft and logical constraints) and dynamic issue detection, reproduction, and fixing. We aim to improve code reliability and R&D efficiency through systematic, data-driven approaches.

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
- Participate in building and optimizing the code graph, including static relationship extraction, dynamic trace data cleansing, and aggregation.
- Develop static validation rules (logical and soft constraints) based on the graph, and contribute to the design and implementation of dynamic validation tools (issue reproduction, root cause localization).
- Conduct in-depth analysis of production quality issues, distill general validation patterns, and drive automation coverage.
- Research and introduce cutting-edge academic and industrial techniques in code analysis, program slicing, anomaly detection, etc., to continuously improve validation effectiveness.

Qualifications

Minimum Qualifications:
- Individuals who are completing or have recently completed a Bachelor's degree in computer science or a related discipline.
- Solid programming skills with proficiency in at least one mainstream language (Go / Python / Java / C++) and good coding practices.
- Deep understanding of data structures and algorithms, capable of independently reading and implementing moderately complex algorithm modules.
- Research-oriented mindset: curious about unknown problems, adept at reading papers and technical blogs, and able to design solutions from first principles rather than just making code work.
- Strong learning agility: able to quickly pick up new tools and frameworks, proactively track technology evolution, and apply them to practical work.

Preferred Qualifications:
- Experience with static analysis (e.g., AST, CFG, pointer analysis), dynamic tracing (e.g., eBPF, OpenTelemetry), compiler development, or automated testing.
- Publications in academic conferences or journals related to code analysis, software engineering, or system reliability.
- Contributions to major open-source projects, or personal tech blog/portfolio that demonstrates independent thinking and deep-dive investigation.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $128000 - $256000 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.

Responsibilities

Responsibilities

The Agentic Ops US team focuses on two major areas: Code Graph and Quality Validation. The code graph serves as the data foundation for validation, encompassing static relationships (function calls, experiment/instrumentation dependencies) and dynamic execution paths (reconstructed from traces). Quality validation covers static rule checking (mining soft and logical constraints) and dynamic issue detection, reproduction, and fixing. We aim to improve code reliability and R&D efficiency through systematic, data-driven approaches.

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
- Participate in building and optimizing the code graph, including static relationship extraction, dynamic trace data cleansing, and aggregation.
- Develop static validation rules (logical and soft constraints) based on the graph, and contribute to the design and implementation of dynamic validation tools (issue reproduction, root cause localization).
- Conduct in-depth analysis of production quality issues, distill general validation patterns, and drive automation coverage.
- Research and introduce cutting-edge academic and industrial techniques in code analysis, program slicing, anomaly detection, etc., to continuously improve validation effectiveness.

Qualifications

Qualifications

Minimum Qualifications:
- Individuals who are completing or have recently completed a Bachelor's degree in computer science or a related discipline.
- Solid programming skills with proficiency in at least one mainstream language (Go / Python / Java / C++) and good coding practices.
- Deep understanding of data structures and algorithms, capable of independently reading and implementing moderately complex algorithm modules.
- Research-oriented mindset: curious about unknown problems, adept at reading papers and technical blogs, and able to design solutions from first principles rather than just making code work.
- Strong learning agility: able to quickly pick up new tools and frameworks, proactively track technology evolution, and apply them to practical work.

Preferred Qualifications:
- Experience with static analysis (e.g., AST, CFG, pointer analysis), dynamic tracing (e.g., eBPF, OpenTelemetry), compiler development, or automated testing.
- Publications in academic conferences or journals related to code analysis, software engineering, or system reliability.
- Contributions to major open-source projects, or personal tech blog/portfolio that demonstrates independent thinking and deep-dive investigation.