Uncubed

Motion Planning Software Engineer

Lyft, Palo Alto, CA

Lyft is your friend with a car, whenever you need one


About Lyft
At Lyft we care deeply about delivering the best transportation experience; this means the best experience for the passenger and the best experience for the driver. We believe this quality of service can only be achieved with a deep understanding of our world, our cities, our streets… how they evolve, how they breathe.

We embrace the powerful positive impact autonomous transportation will bring to our everyday lives and with our ambition, we will become a leader in the development and operation of such vehicles. Thanks to our network, with hundreds of millions of rides every year, we have the means to make autonomy a safe reality. As a founding member of the Autonomous Tech group, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and thereby revolutionizing transportation.

The Role
As part of the Autonomy Software Team, you will be interacting on a daily basis with software engineers and data scientists to tackle the most advanced autonomy challenges.
As a senior engineer of a rapidly growing team, you will be able to make a large impact on the definition of our product.
For this position, we are looking for advanced engineer with a broad understanding of autonomous vehicles in general and a strong expertise in motion planning algorithms.
In your role you will develop and deploy a real-time path planner which follows lanes, avoids obstacles, and maintains rider comfort.

Required Competencies/Experience

  • MS in Computer Science or related field with at least 10 years of relevant professional experience
  • Expert in latest real-time path planning technologies such as optimization planners
  • Extensive programming experience, ideally in C++ and Python
  • Strong background in object oriented design, prioritizing testability and reusability

Preferred Competencies

  • PhD in Computer Science or related field
  • Extensive experience converting publications to actual implementations
  • Extensive experience developing optimal control systems
  • Experience in robotics, real time systems, embedded system or self-driving technologies
  • Experience launching products containing deep learning algorithms
Lyft is an EEO employer that actively pursues and hires a diverse workforce, and pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About Lyft

Wherever you’re headed, count on Lyft for rides in minutes. The Lyft app matches you with local drivers at the tap of a button. Just request and go.

Ride by ride, we’re changing the way our world works.

Want to learn more about Lyft? Visit https://www.lyft.com/