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Autonomy Intern
Confirmed live in the last 24 hours
San Francisco, CA, USA
Experience Level
  • Strong CS fundamentals (via academic or industry experience)
  • Background in developing the autonomy (sensing, decision-making, or control) functions of a deployed, autonomous vehicle
  • High-performing engineering experience
  • 2+ years experience working on software engineering teams
  • Comfort with shipping safety-critical software
  • Experience shipping a working robotics or vehicle autonomy subsystem
  • Candidates with unconventional experiences especially encouraged
  • Willingness to get hands-on and have lots of fun
  • Experience with ROS
  • Advanced research experience in vehicle autonomy or machine learning
  • Background in safety-critical software/system development (preferably a ground robotics functional safety standard such as ISO 26262 or IEC 61508)
  • Prior experience developing and supporting all aspects of autonomy for a production ground-vehicle subsystem, or research prototype (end-to-end, full lifecycle development preferred)
  • Startup experience
  • Experience with Carla, Gazebo or comparable technologies where relevant to the area of specialization
  • Perception and Sensor Fusion
  • Localization and Mapping
  • Vehicle Control, Planning, and Decision Making
  • Define, lead, and own the hands-on creation of your ADS subsystem module, targeting milestones and working with internal/external partners - expect to spend ~75% of your time performing hands-on development, with the remaining 25% integrating with the overall software stack, working with a team of world-class engineers to target aggressive milestones
  • Design, implement, test, and support ADS module functionality through simulations and real-world test runs in context of the airside airport environment, including vehicle corridors and airport apron
  • Work with the engineering team at large to support all aspects of ground vehicle autonomy, including planning, perception, navigation, and infrastructure subsystems
  • Collaborate with hardware engineering to create an integrated system, including calibration and

1-10 employees

Autonomous driving platform development