Quality Management Automation Intern

Location: Chengdu

A Moving Experience.

Opportunity: [3-4 sentence pitch about the most interesting parts of the role, why someone would want to join, what impact this role will have on the team/company and what they will achieve in their first year. This is the hook to draw the candidate in!]

Join the Quality Management team and help drive the adoption of AI and automation in automotive software quality management.

This internship offers the opportunity to work on real-world automation projects, including AI-powered review agents, process performance assessments, quality dashboards, data analytics, Jira workflow automation, and process improvement initiatives. The successful candidate will contribute to tools and solutions that are used across multiple projects and directly improve team efficiency and quality outcomes.

Daily Functions / Responsibilities: [what does the role look like day to day, what will this person be responsible for]

• Support the development and maintenance of Quality Management automation solutions.
• Assist in creating, validating, and improving AI-powered agents and skills.
• Perform project qualilty data analysis.
• Create and maintain technical documentation, user guides, onboarding materials, and best-practice repositories.
• Participate in testing, validation, and continuous improvement of automation solutions and AI tools.

Requirements: [list 4-5 requirements: software/technology experience, education requirements (if any), years of experience, etc.]

• Currently enrolled in a Bachelor’s or Master’s degree program in Computer Science, Software Engineering, Data Science, Information Technology, Artificial Intelligence, or a related field.
• Basic programming experience in Python.
• Familiarity with data analysis, automation concepts, APIs, and scripting.
• Knowledge of Jira, Confluence, Git, GitLab, or software development tools is a plus.
• Strong analytical thinking and problem-solving skills.
• Good written and verbal communication skills in English.
• Self-motivated, detail-oriented, and eager to learn new technologies.
• Interest in AI, software quality, process improvement, and automation.

Cerence Inc. (Nasdaq: CRNC and www.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world’s leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC – to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages.

As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence’s passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry.

EQUAL OPPORTUNITY EMPLOYER

Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement.

All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes:

• Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace.
• Following security procedures to report any suspicious activity.
• Having respect for corporate security procedures to allow those procedures to be effective.
• Adhering to company's compliance and regulations.
• Encouraging to follow a zero tolerance for workplace violence.
• Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data).
• Demonstrative knowledge of information security through internal training programs.