ADAS Machine Learning Intern - 6 months (Unable to consider OPT/CPT/International candidates)
Audi of America
Date: 12 hours ago
City: San Jose, CA
Salary:
$35
-
$42
per hour
Contract type: Full time
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LOCAL CANDIDATES ONLY, PLEASE.
We are unable to consider OPT/CPT/International candidates.
"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
Education-Required:
Hybrid
Primary Location
United States-California-San Jose
We are unable to consider OPT/CPT/International candidates.
"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
- The candidate will be placed in an interdisciplinary team working towards autonomous driving functions.
- The intern will use a prototype vehicle equipped with state-of-the-art sensors to access to the vehicles internal communication systems.
- The internship includes evaluation and implementation of state-of-the-art algorithms and ML models to enable automated driving features.
- Research and evaluation of state-of-the-art machine learning approaches
- Implementation and extension of models for scenario detection
- Integration and optimization of source code for a prototype vehicle
Education-Required:
- Must be enrolled at a University/College or Graduation date must be within the last six months
- Student must possess know-how in machine learning
- Strong background in Python, docker, vector databases
- Experience with ROS and vehicle bus communication beneficial
- Experience with Linux systems or embedded devices
- Fluent in English, German is a plus
- Undergraduate (Junior or Senior): $35/hour
- Graduate (Master’s): $38/hour
- PhD: $42/hour
Hybrid
Primary Location
United States-California-San Jose
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