Uber Staff Software Engineer - Autonomous Vehicles 

United States, West Virginia 

238188817

1. Design and implement scalable solutions for AV technology
2. Apply and evaluate the latest machine learning techniques for AV 2.0

Key Work/Projects

1. Driving dataset: To accelerate the path to L4 autonomy by designing and building AV 2.0 technology, we work on sensor data collection, processing, labeling, indexing and search to build comprehensive driving scenarios.
2. AI systems: Building AI systems to extract the maximum value out of Uber’s worldwide operations, such as perception modeling and semantic understanding.

• PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 2-years full-time Software Engineering work experience OR 5-years full-time Software Engineering work experience, WHICH INCLUDES 3-years total technical software engineering experience in one or more of the following areas:

• Programming language (e.g. C, C++, Java, Python, or Go)

• Note the 3-years total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The years of specialized experience are not necessarily in addition to the years of Education & full-time work experience indicated.

• At least 3 years of Autonomous Vehicles industry experience with deep domain expertise in perception.
• Proficient in Python and Linux
• Familiar with OpenCV, TensorFlow/PyTorch

Preferred:

1. Master or PhD degree in computer vision or robotics.
2. Familiar with C++
3. Familiar with the Robot Operating System

For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.