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As an intern at Waymo, you will develop innovative algorithmic and system optimization techniques to enhance the efficiency of foundational models, benchmark their performance, and apply advanced deep learning techniques. You will collaborate with leaders in the field while gaining hands-on experience in software engineering for autonomous driving technology.
As a summer intern at Waymo, you will design and train deep learning models on sensor data and improve perception systems for autonomous driving, collaborating on product requirements and enhancing your technical skills.
As a Technical Lead Manager, you will oversee the Assessment Tooling team, responsible for developing web-based applications that enhance understanding of the Waymo Driver’s performance. You will manage a team, create technical roadmaps, collaborate with various departments, and lead risk management efforts to meet product goals.
The intern will work on optimization problems to improve marketplace efficiency, such as fleet scheduling, positioning, and rider-vehicle matching algorithms. They will have access to ride-hailing session data, dashboard tools, and production code for algorithm development.
As a Staff ML Accelerator Architect at Waymo, you will analyze workloads, architect machine learning solutions for autonomous driving, simulate high-performance architectures, and collaborate with engineering teams to optimize hardware and software.
The Technical Lead for Perception Fallback Systems will design and lead the architecture for alternate perception pipelines in autonomous driving. Responsibilities include developing machine learning algorithms, collaborating with various teams, and optimizing perception stacks for degraded conditions. The role also involves technical leadership within the perception domain and engagement with hardware and software engineering teams.
As a Summer Intern at Waymo, you will design advanced perception models, code in Python and C++, and train/evaluate models on large datasets. You will collaborate with industry leaders on impactful projects, gaining valuable experience in autonomous driving technology.
As a Senior Software Engineer at Waymo, you will design software features, improve the realism of simulations, and ensure product scalability and reliability. You will also mentor team members and build user-facing products while focusing on back-end development and architecture.
As a Staff Software Engineer for Infrastructure at Waymo, you will design and develop storage infrastructure features, manage datasets, and enhance the reliability of production systems. You will collaborate with partner teams and ensure efficient storage management while improving code quality and automation. Your role demands extensive experience in software engineering and distributed systems, especially in large-scale storage systems.
As a Staff Software Engineer, you will design architecture and software features for Waymo's simulation product, improve driving realism, ensure scalability and reliability, and mentor senior engineers. You will work on backend systems and collaborate with front-end teams to meet the needs of internal customers.
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