Vorsprung durch Technik or, Progress through Technology is our company ethos and is the core belief that drives the development of every Audi vehicle. It inspires the innovative solutions, revolutionary engineering and progressive design that have become synonymous with the Audi name. And it reminds us to challenge ourselves, rewrite the rules from time to time and always fuel our pioneering spirit. The spirit that sets us apart on the racetrack and the open road. In our relentless pursuit to become the number one premium car brand in America, we need employees who share in this spirit of challenging the status quo in everything that we do.
Role Summary:
As an ADAS Tooling Development Software Fellow, you will join an interdisciplinary team focused on advancing autonomous driving technologies through AI-powered tooling. Over the course of the fellowship, youll contribute to the development, evaluation, and deployment of machine learning models that analyze real-world driving scenarios from video data. Your work will involve hands-on data processing, model training, performance analysis, and integration into production pipelines, with opportunities to validate your models through in-vehicle testing. This role is ideal for students eager to apply their research skills in a fast-paced, collaborative environment tackling real-world challenges in autonomy.
Role Responsibilities:
Collection and processing of data (20%)
Designing, implementing, testing, deploying and monitoring AI models (70%)
Reporting of results (10%)
Qualifications:
Required Education:
Required Skills:
Desired Skills:
Knowledge of the following tools Codebeamer, JIRA, Confluence, bitbucket, git, conan, ADTF, ROS 2, VMware/virtualbox, docker, Ubuntu, QNX
In San Jose, California, the hourly rates for this role are based on level of education:
Undergraduate (Junior or Senior): $35/hour
Graduate (Master's): $38/hour
PhD: $42/hour
We are unable to consider OPT/CPT/International candidates.
Volkswagen Group of America is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws.
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