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Lyft // on-demand ride-sharing
Engineering, Internship    Palo Alto, CA    Posted: Saturday, February 22, 2020
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At Lyft, our mission is to improve peoples lives with the worlds best transportation. To do this, we start with our own community by creating an open, inclusive, & diverse organization.

Lyfts mission has been to improve peoples lives with the worlds best transportation. And self-driving cars are critical to that mission: they can make our streets safer, cities greener, & traffic a thing of the past. Thats why we started Level 5, our self-driving division, where were building a self-driving system to operate on the Lyft network.

Level 5 is looking for creative problem solvers to join us to develop the leading self-driving system for ridesharing. Our team members come from diverse backgrounds & areas of expertise, & each has the opportunity to have meaningful improvement on the future of our technology. Our world-class software & hardware experts work in brand new garages & labs in Palo Alto, California, & offices in London, England & Munich, Germany. And were moving at an incredible pace & servicing employee rides in our test vehicles on the Lyft app. Learn more

As part of the Autonomy Group, you will work with software engineers to tackle advanced autonomy challenges. With a focus on planning, your work will initially involve taking output from the perception, localization, & prediction systems to determine short, medium, & long-term course of actions. As a Software Engineering intern on the Level 5 team, you will have the opportunity to develop & deploy tomorrows hardware & software solutions & thereby revolutionize transportation. We are currently looking for interns on our various planning sub-teams: Prediction, Trajectory Generation & Planning, Motion Controls & Behavior Planning.


  • Work on core planning & control algorithms such as routing, behavior planning, decision trajectory planning, feedback controllers, etc.
  • Develop algorithms for planning under uncertainty using stochastic optimization techniques with linear & non-linear objective functions
  • Develop behavioral reasoning framework to support navigation in complex traffic scenarios, such as lane changes, merges, double-parked vehicles, & blind turns
  • Develop functionally safe systems that fail gracefully & safely exit traffic when difficult situations arise
  • Implement real-time algorithms in C++ for real-time decision-making
  • Build tools & infrastructure to verify & evaluate the performance of the planner/controller over time


  • Pursuing Ph.D. in Computer Science, Robotics or a related fieldandreturning to a degree program after completion of the internship
  • Experience in control theory, robotics & linear algebra
  • Experience building applications for robots using a broad range of tools such as numerical optimization, feedback control, systems modeling & identification, etc.
  • Ability to develop safety critical navigation systems for low-latency compute platforms
  • Experienceinoneormoreofthefollowingtopics:modernmachinelearningtechniques,deeplearningmodels,statistical/bayesianmodels,timeseriesanalysis,roboticsresearchinplanningandcontrols


  • Greatmedical, dental, & vision insuranceoptions
  • 401(k) planto help save for your future
  • Monthly commuter subsidy to cover your transit to work
  • Monthly cell phone reimbursement
  • 20% off all Lyft rides

Lyft is an Equal Employment Opportunity employer that proudly pursues & 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 & safe workplace & strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance & other similar state laws & local ordinances, & its internal policy, Lyft will also consider for employment qualified applicants with arrest & conviction records.

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