Sensor Calibration & ML Systems Internship (Hybrid)

Waymo LLC

Mountain View (CA)

Hybrid

USD 40,000 - 60,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
401(k) and retirement plans
Hybrid work model

Job summary

Waymo LLC is seeking an intern in Mountain View, CA to advance sensor calibration for the Waymo Driver. You will contribute to developing, evaluating, and deploying multi-sensor calibration algorithms within a complex robotic software stack.

You will work with experienced hardware and software teams, apply C++ and ML techniques, and gain hands-on experience deploying calibration systems across platforms. This internship offers hybrid work options and comprehensive benefits.

Qualifications

  • Enrolled in an MS/PhD program in Computer Science, Robotics, or a similar technical field of study.
  • Experience in C++ and deploying software as part of a complex system.
  • Experience calibrating multi-sensor robotic systems.
  • Experience evaluating and deploying ML systems.

Responsibilities

  • Help Waymo scale the sensor calibration algorithms to support many hardware architectures by developing the next-generation calibration system.
  • Develop, evaluate, and deploy new initiatives for the next-generation calibration system.
  • Evaluate and deploy ML-based calibration systems in new areas not yet covered in the literature.
  • Collaborate with hardware, software, and operations teams on deploying real-world robotic systems.

Skills

C++
Deploying software in complex systems
Multi-sensor calibration
ML systems evaluation
Python

Education

MS/PhD in Computer Science or Robotics

Tools

ROS
Git

Job description

Waymo LLC is seeking an intern in Mountain View, CA to advance sensor calibration for the Waymo Driver. You will contribute to developing, evaluating, and deploying multi-sensor calibration algorithms within a complex robotic software stack.

You will work with experienced hardware and software teams, apply C++ and ML techniques, and gain hands-on experience deploying calibration systems across platforms. This internship offers hybrid work options and comprehensive benefits.

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