Embedded Software Engineer

The Role: Embedded Software Engineer

Location: Palo Alto, CA


Embedded Software Engineer

At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.

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 member of Level5, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and thereby revolutionize transportation.

Lyft’s autonomous vehicle architecture consists of a complex network of embedded microcontrollers, which are responsible for communicating directly with custom electronics. As an early member of a rapidly growing team, you will be able to make a large impact on the future of Lyft’s autonomous efforts.


  • Deliver high-quality C/C++ code for real-time embedded systems

  • Participate in hardware and software systems design reviews

  • Participate in hands-on hardware bringup, system debugging, and code optimization

  • Analyze and propose solutions for performance bottlenecks

  • Contribute to code reviews

Experience & Skills:

  • Extensive programming experience in C/C++

  • Strong background in object oriented design, prioritizing testability and reusability

  • Deep knowledge of embedded programming platforms

  • Strong knowledge of ARM, x86, or similar processor architectures

  • Deep understanding of operating systems architecture and designs

Nice To Have:

  • Masters or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field, and 3 years of relevant professional experience

  • Experience with RTOS programming and debugging

  • Some expertise in localization, controls, machine learning, or graphics

  • Experience working closely with sensors and actuators

  • Experience in robotics, real time systems, embedded system, or self-driving technologies

ITTina MondragonFull-time