Software Engineer, Planner

Waymo; Pittsburgh (Allegheny County); Hybrid; USD 213,000 - 263,000; Full time

Benefits offered by this job

Discretionary annual bonus program

Equity incentive plan

Generous company benefits

Job summary

Waymo is seeking a software engineer to work in a hybrid role on the Waymo Driver for Level 4 autonomous driving. You will help frame real-world problems into well-defined engineering tasks, build tools and algorithms, and deploy them in real-time on vehicles, collaborating with cross-functional teams.

The role requires a BS in Computer Science, ML, Robotics or related field (or equivalent experience) and 3+ years of C++ software engineering.

Qualifications

• Bachelor's degree in Computer Science, ML, Robotics or related field, or equivalent practical experience.
• 3+ years general software engineering experience with C++ and efficient code.
• Experience collaborating with different teams.

Responsibilities

• Work with a creative team to ensure car behavior is safe, smooth, and predictable to others on the road; handle complex situations with noisy or incomplete information.
• Frame open-ended problems into well-defined engineering tasks; develop tools and algorithms; scale to large data pipelines and real-time car deployment.

Skills

C++ programming

Team collaboration

Education

Bachelor's degree in Computer Science / ML / Robotics

Equivalent practical experience

Job description

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 DriverTM—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+ U.S. states.

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.

In this hybrid role, you will report to Technical Lead Manager

You Will

• Work with a creative team of people who ensure that the behavior of our cars is safe, smooth, and predictable to other road users, which includes gracefully handling many complex situations involving social aspects (merging, negotiating narrow roads), while dealing with noisy, uncertain, and incomplete information.
• Frame the open-ended real-world problems into well-defined engineering problems; develop tools, algorithms and evaluation mechanisms; scale them to Google-sized data pipelines; and refine them to run in real-time on the cars.

You Have

• BS in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience
• 3+ years general software engineering experience programming in C++ with efficient code
• Experience collaborating with different teams

We Prefer

• MS in Computer Science, ML Robotics, similar technical field of study
• General software engineering experience solving motion planning or related robotics problems
• Building or evaluating ML-based systems

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.

Salary Range

$213,000—$263,000 USD