At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Lyft’s mission has been to improve people’s lives with the world’s best transportation. And self-driving cars are critical to that mission: they can make our streets safer, cities greener, and traffic a thing of the past. That’s why we started Level 5, our self-driving division, where we’re building a self-driving system to operate on the Lyft network.

Level 5 is looking for problem solvers to join us to develop the leading self-driving system for ridesharing. Our team members come from diverse backgrounds and areas of expertise, and each has the opportunity to have meaningful improvement in the future of our technology. 

Interns work side-by-side with top engineers in the industry while having autonomy from the get-go. They contribute to user-facing products and can see their work go live quickly. Lyft fosters a collaborative environment in the office, so there's always a sharp mind eager to hear about your next idea. As an intern on the Level 5 team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and thereby revolutionize transportation. We are currently looking for interns on our Autonomy team.

Responsibilities:

• You will work on solutions that involve exposure and close integration with teams from planning, localization, perception and mapping
• You will work with senior engineers to design software systems that solves complex problems, and evaluate trade-offs across the system architecture
• You will develop production-quality C++ (preferred) or Python code, and work in a Dev environment that emphasizes continuous integration and deployment
• You value reliability, ensured by automated testing (unit, integration and load tests)
• You will check in with other team members throughout the day with questions and updates

Experience:

• Pursuing a B.S. or higher in Computer Science, Electrical or Mechanical Engineering or equivalent
• Knowledge of CS fundamentals, including advanced data structures, algorithm development and complexity analysis, the big-O notation, and programming experience in C++ and optionally Python
• Experience working on multiple aspects of machine learning and computer vision technology such as perception, objection recognition, localization, and deep learning
• Experience working on multiple aspects of planning and decision-making, including numerical optimization, graph-based algorithms, decision-making under uncertainty or traffic agent prediction
• Experience in robotics, object detection, tracking, real-time systems, embedded systems, or self-driving technologies, and knowledge of Open Computer Vision (OpenCV) code, TensorFlow/TensorRT, CUDA, or related technologies, and contributions to open source projects is desirable
• Experience with real-time systems with latency requirements
• Experience developing in a Linux environment is preferred 
• Industry internship experience at a technology company, and a passion for sustainability and transportation

Benefits:

• Great medical, dental, and vision insurance options
• In addition to holidays, interns receive 1 day paid time off and 3 days sick time off
• 401(k) plan to help save for your future
• Monthly commuter subsidy to cover your transit to work
• 20% off all Lyft rides

Lyft is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Lyft does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Lyft will also consider for employment qualified applicants with arrest and conviction records.