Senior Machine Learning Engineer, Robotics

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. 

The Sensor Foundations Team’s purpose is to provide cleaned-up sensor data through highly optimized APIs to Perception models, to abstract sensor hardware differences where possible, and to provide low-level Perception signals either through algorithms or machine learning. Projects on our team typically require a diverse skill set, including robotics, system integration, code optimization, and machine learning. We have a good understanding of the hardware (both sensors and compute) and the overall Perception system. For this role, we are looking for a strong Software Engineer with robotics and machine learning experience, who will help us to accelerate the transition of low-level Perception tasks from algorithms to machine learning. 

This role follows a hybrid work schedule and reports to the Technical Lead Manager of the Sensor Foundations Team.

You will:

• Transition low-level Perception tasks from algorithms to machine learning
• Work on system integration and optimization
• Evaluate task-level and system-level quality, developing new metrics as needed

• Bachelors in Computer Science, Software Engineering, Robotics, or similar technical field of study 
• 5+ years of industry experience
• Strong C/C++ skills
• Proficiency with Python
• Experience with Computer Vision and Machine Learning
• Experience with System Integration

Nice to have

• Masters or PhD Degree in Computer Science, Robotics, Machine Learning, or a similar discipline
• Experience with sensor data processing (Lidar, camera, or radar)
• Experience in the AV industry