Software Engineering (remote)

Software Engineer, Perception Scaling EvaluationWaymo 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. 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 have access to millions of miles of driving data from a diverse set of sensors, enabling software engineers like you to develop multi-modal models and techniques at scale.Our mission is to build a stable foundation for a high-level Perception pipeline and the overall self-driving system. We act as the crucial interface between Waymo's hardware teams and the rest of the self-driving engineering organization, defining sensor requirements, providing critical feedback to hardware teams, and abstracting away system complexities.The Sensor Health team's job is to make sure that sensors "just work" for the entire self-driving car software stack. 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.In this hybrid role, you will report to a Technical Lead Manager.Dive deep into the Waymo Driver's perception stack and build a deep understanding of its capabilities in various driving conditionsHelp set the perception development direction to allow the stack to scale to new driving environments, platforms, and sensorsCollaborate across world-class engineering teams to influence the roadmap for next-generation perception technologyArchitect high-scale, mission-critical automation and evaluation frameworks that establish the "ultimate truth" for the safety, performance, and reliability of the Waymo DriverInnovate simulation tools for advanced sensor emulation, rigorously testing vehicle performance against complex impairments and edge-case faultsSupport sign-off process for all stages of sensing system development and software releases. BS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience2+ years of experience in industrial AI applications involving the creation, maintenance, and evaluation of ML productsExperience developing and conducting eval for large ML software systemsStrong experience programming in C++ with robust and efficient codeWe prefer:MS or PhD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience with at least 2 years of industry experienceExperience with autonomous vehicles (L4) or ADAS systems (L2/L3)Strong software architecture skillsThe 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. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.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.