ML & Robotics Software Engineer (Distributed Team)

Pittsburgh Robotics Network; San Francisco (CA); On-site; USD 204,000 - 259,000; Full time

Benefits offered by this job

Discretionary bonus

Equity incentives

Generous benefits

Job summary

Waymo is an autonomous driving technology company focused on making mobility safer and more reliable. This role involves designing and evaluating ML-based systems for autonomous vehicles and collaborating with a distributed team across various projects.

The position emphasizes working on state-of-the-art robotics problems, motion planning, and integrating software with robust architectures for scalable deployment.

Qualifications

• BS/MS/PhD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience
• Experience with building, integrating, debugging and evaluating ML-based systems
• Strong experience with Python for data analysis
• Strong experience with SQL and working with large datasets
• Strong experience programming in C++ with robust and efficient code
• Strong software architecture skills
• Ability to work on a distributed team
• Experience with applying Machine Learning to generate vehicle models, solve motion planning or related robotics problems is preferred but not required.

Responsibilities

• Work with a creative team of people who are responsible for ensuring that the behavior of our cars is safe, dynamically feasible, reliable, and comfortable in environments where inputs can be noisy, uncertain, or incomplete.
• Design and deploy algorithms to measure the performance of state of the art technology for handling any kind of weather and degraded conditions that are scalable to different cities and scenarios.
• Work on a bleeding edge project at the intersection of traditional robotics and modern ML techniques.

Education

BS/MS/PhD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience

Job description

Waymo is an autonomous driving technology company focused on making mobility safer and more reliable. This role involves designing and evaluating ML-based systems for autonomous vehicles and collaborating with a distributed team across various projects.

The position emphasizes working on state-of-the-art robotics problems, motion planning, and integrating software with robust architectures for scalable deployment.