Software Engineering builds the brains of Waymo’s fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations
We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we’d like to meet you
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!
Design and build multimodal data pipelines in Python or C++ that combine vehicle sensor data (camera, LiDAR) and 3D map data for machine learning models
Prototype and iterate on Vision-Language Model (VLM) workflows to automatically detect and categorize complex real-world driving scenarios and road changes
Build ground‑truth evaluation datasets, measure model precision and recall, and systematically improve detection accuracy
Integrate automated labeling pipelines into data storage and simulation testing workflows
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
Support programs including menopause benefit
Counseling services
Second medical opinion for you and your loved ones
Medical advocacy program for transgender employees
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
Survivor income benefit
Backup childcare
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
Employee resource groups
Volunteer hours
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
Currently pursuing a MS or PhD in a quantitative or technical field (such as Computer Science, Robotics, Machine Learning, or a related area)
Strong programming skills in Python or C++
Experience with data analysis, SQL, and basic statistics
Familiarity with 3D geometry, coordinate transforms, or sensor data processing
Experience with computer vision, Vision-Language Models (VLMs), or prompt engineering
Experience working with large-scale datasets or distributed data pipelines