Hardware Technical Program Manager (ASIC)

DiDi Labs, Fremont, CA

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

DiDi is seeking a Technical Program Manager with ASIC design and development experience. The Technical Program Manager (TPM) will lead cross-functional teams to design, test and mass produce analog and digital ASICs to enable high performance autonomous vehicles.


  • Manage ASIC development and their subsystems with vendors, internal design and testing teams, from concept to production
  • Work with engineering team to define milestones and timeline, and drive execution of projects
  • Lead cross-functional project meetings and milestone reviews
  • Manage and communicate with external vendors such as fabrication service, ATE and packaging providers
  • Work with engineering team and vendors to establish QA flow
  • Work independently with minimal supervision


  • BS in Computer Sciences, Computer/Electrical Engineering or related field
  • 5+ years’ experience in supporting Hardware Engineering teams in ASIC development
  • Experience in managing ASIC design flow
  • Experience with semiconductor technology and manufacturing processes
  • Strong interpersonal and communication skills 

Preferred qualifications:

  • 8+ years’ experience in technical program management
  • Experience in high volume ASIC production
  • Experience in ATE and packaging development
  • Experience in automotive grade ASIC products
  • Experience in managing overseas manufacturing facilities
  • Proficient at creating and tracking complex development schedules, managing issues and tracking bugs

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.