2027 Summer Internship (MS/PhD, Perception, Robotics)

• Waymo is an autonomous driving technology company with the mission to be the world’s most trusted driver
• Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World’s Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes
• The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases
• The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ US states
• Within Perception, the Sensing Resilience team’s job is to make sure that sensors “just work” for the entire self-driving car software stack
• We make sure that all sensors are properly calibrated and consistently monitored at all times
• We are often the firsts to algorithmically process data from next-generation sensors on next-generation vehicle platforms and work closely with both hardware and software teams to provide the best possible sensor data from our many sensors perfectly aligned to our upstream customers
• To this end, we develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy our systems both into the Waymo Driver and our log processing backend
• Waymo interns partner with leaders in the industry on projects that create impact to the company
• We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set
• Interns are an important part of our culture and our recruiting pipeline
• Join us at Waymo for a fun and rewarding internship!
• You will:
• Help Waymo scale the sensor calibration algorithms to seamlessly support many different 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 highly experienced colleagues across hardware, software, and operations on deploying real world robotic system

Benefits

• Medical, dental, and vision insurance for employees and dependents
• Employee assistance programs focused on mental health
• Personalized workplace adjustments for diverse needs and abilities, including physical, mental, and neurodivergent considerations
• Access to mental health apps
• Onsite wellness centers
• Medical advocacy program for transgender employees
• Support programs including menopause benefit
• Second medical opinion for you and your loved ones
• Counseling services
• Competitive compensation
• Regular bonus and equity performance grant opportunities
• Generous 401(k) and regional retirement plans
• 1-on-1 financial coaching
• Annual cross-company compensation review and pay equity analysis
• Fertility and growing family assistance
• Parental leave and baby bonding leave
• Elder care and support
• Backup childcare
• Survivor income benefit
• Caregiver leave
• Paid time off, including vacation, bereavement, sick leave, parental leave, disability, and holidays
• Jury duty leave
• Military leave
• Hybrid work model with remote work opportunities also available
• Educational reimbursement
• Peer learning and coaching platform
• Donation matching programs
• Volunteer hours
• Employee resource groups
• Internal community groups and local culture clubs
• Inspiring spaces to work, recharge, and collaborate with fellow Waymonauts
• On-site meals and snacks
• Fitness centers, massage programs, and ergonomic support
• On-demand fitness, wellbeing, and cooking classes
• Commuter benefits- Enrolled in a MS/PhD program in Computer Science, Robotics, or a similar technical field of study
• Experience in C++
• Experience deploying software as part of a complex system
• Experience calibrating multi-sensor robotic systems
• Experience evaluating and deploying ML systems