Uncubed
           

Software Engineer, Autonomous Vehicle Safety and Security Team

DiDi Labs, Mountain View, CA

DiDi Labs is working to solve the world’s most challenging problems.


We are looking for talented and self-motivated software engineers to work with us in developing cutting-edge technology to protect autonomous vehicles and supporting infrastructure. As a young and agile team, our desire is to build and maintain a working environment that engenders free flow of ideas and sets our employees up for strong personal growth and career development.

Responsibility:

  • Responsible for building world-class safety products that protect our drivers and customers.
  • Participate in design, architecture, implementation and support of software.
  • Manage individual project priorities, deadlines and deliverables in a fast paced, iterative development environment.
  • Collaborate with partner teams both in the US and China to define new requirements and to deliver best end-to-end user experience.

 

Qualifications:

  • BS/MS Degree in Computer Science or related technical field.
  • Strong programming skills in C/C++, Python, Golang.
  • 2+ years of related work experience.
  • Understanding of operating system internals & concepts.
  • Good knowledge of Internet networking and TCP/IP stack.
  • Full stack, comfortable working on front-end, as well as server-side.
  • Knowledge of big data technologies and machine learning is a plus.
  • Strong attention to detail and sense of ownership in your work.

About DiDi Labs

DiDi is a ride-sharing platform dedicated to revolutionizing the way people live and move. Didi Chuxing offers a full range of on-demand mobility options, including Taxi hailing, private car hailing, Hitch (social ride-sharing), Chauffeur (designated driver), Bus, Minibus, Car Rental, and Enterprise Solutions. Our company is committed to working with communities and partners to solve the world’s transportation and environmental challenges using big data-driven deep-learning algorithms that optimize resource allocation.

Want to learn more about DiDi Labs? Visit DiDi Labs's website.