Engineering Manager
Machine Learning, Perception
Updated on 5/12/2023
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Computer Vision
C/C++/C#
Python
Requirements
  • Prior experience managing, leading, and growing teams
  • Experience developing deep learning and novel computer vision solutions
  • Proven track record of shipping production-quality software for mission-critical or complex software products
  • Previous (4+ years) experience as a software engineer delivering results within large-scale, Machine Learning environments
  • Experience managing a team and initiatives in a mission-critical and fast-paced Machine Learning engineering organization
  • Track record of driving ML research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization
Responsibilities
  • Lead and grow a team of engineers within the Cruise AI self-driving organization
  • Ensure your high-functioning and output team delivers quality engineering architecture and design along with fast, reliable, testable production code
  • Work with teams across Cruise to foster a collaborative culture of testing, safety, and documentation
  • Serve as an embodiment of our values
  • Invest heavily in recruiting, identifying opportunities for external engagement to improve the Cruise engineering brand
  • Help define, build, and embody Cruise engineering culture and principles
  • Embody Cruise behaviors: Stay Safe, Own It, Stay Focused, Seek Truth, Work Together, Be Humble
Desired Qualifications
  • Msc or Phd in Computer Vision, machine learning or a related field
  • Experience writing Python and/or C++ in a production environment
  • Worked on high-speed feedback loops
  • Experience in code optimization or high-performance computing
  • Strategic, collaborative and execution-focused
Cruise

1,001-5,000 employees

Self-driving car service
Company Overview
Cruise's is building self-driving vehicles to improve life in our cities. The company makes autonomous, sustainable, self-driving EVs.
Benefits
  • Flexible vacation
  • Paid holidays
  • Paid parental leave
  • Fertility & family expansion benefits
  • 401k matching program
  • Monthly social events
  • Community volunteering programs
  • Healthy meals & snacks for onsite employees
  • Quarterly offsites & working retreats
  • Monthly wellness stipend
  • Mental health support
  • Professional development programs
  • On-site gym in SF HQ
  • Commuter benefits for onsite employees
  • Medical, dental & vision coverage
Company Core Values
  • Stay safe
  • Stay focused
  • Own it
  • Seek truth
  • Work together
  • Be humble