Sr Software EngineerDesign and develop software solutions for autonomous driving systems, with a focus on scalability, robustness, and real-world performance. Leverage machine learning techniques to train, optimize, and enhance models using large-scale datasets. Conduct thorough evaluations of model performance across a variety of autonomous driving perception tasks. Design, develop, optimize, and monitor the production of machine learning (ML) or ML-based solutions and systems for various Uber technologies and platforms. May telecommute.

Employer will accept a Master's degree in Computer Engineering, Mechanical Engineering, Machine Learning, Robotics, Data Management, or related field, and four years of experience in the job offered or in a related occupation.

Position requires four years in:

Machine learning

Robotic autonomy

Parallel computing

Autonomous driving perception technologies

Probability and statistics

Object-oriented systems design

Vehicle dynamics and control

Implementing and testing design solutions for controlled applications

Designing engineering and control systems

Creating embedded software designs

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.