Waymo
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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 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.
As a Technical Sourcer at Waymo, you will drive hiring outcomes by developing and executing sourcing strategies, screening candidates, and collaborating with business leaders to co-create hiring strategies. Your role includes mentoring junior team members and ensuring diversity and inclusion throughout the process.
As a Leadership Sourcer at Waymo, you'll proactively identify and analyze talent landscapes to support executive-level recruiting needs. You'll engage with candidates, provide insights to hiring leaders, and help shape the executive recruitment strategy while fostering relationships with underrepresented talent.
As a Senior ML Engineer, you will investigate and develop theories for scaling perception foundation models, design experiments to validate hypotheses, and build training infrastructure while collaborating with cross-functional teams. You will share findings through writing and presentations.
As a Summer Intern on the Eval & Inference Team, you'll work on advanced transformer-based models, modifying and testing configurations, and possibly automating improvements while collaborating with industry leaders.
As a Summer Intern at Waymo, you will design and implement a self-supervised learning task in perception models, train the model using driving logs, evaluate its impact on object and occupancy detection, and collaborate with engineering and research teams.
As a Staff SWE at Waymo, you will build and evolve critical commercialization tools for ride-hailing and fleet management, collaborating with various teams to address complex problems. You will also navigate uncertainties to help architect solutions meeting both short- and long-term objectives.
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 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, 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.
The Physical Design Lead at Waymo will drive custom silicon partnerships, ensure implementation meets performance and schedule goals, and manage a team of design experts. Responsibilities include collaborating with partners on PD flows, reviewing final sign-off for tape-out, and escalating program risks while leveraging extensive experience in physical design of complex SoCs or ASICs.
The Motion Systems Engineer will manage requirements for braking, steering, and propulsion of motion control actuators, lead architecture discussions, contribute to hardware and software design reviews, and coordinate motion control actuator integration. They will investigate issues and validate actuators for driver-less operation through testing and analyses.
Waymo seeks a Lidar Technologist intern to work on complex optical systems and contribute to autonomous driving technology. Responsibilities include data analysis, software development in Python and C++, and working with laboratory instruments. Interns will collaborate with industry leaders and gain hands-on experience in innovative projects.
Waymo seeks a Software Engineer Intern for its autonomous driving technology. Interns will engage in programming, neural network architectures, and collaborate with engineering teams to solve technical challenges in robotics and decision-making. The role promises impactful projects and skill development in a supportive environment.
The internship involves developing the training infrastructure for model trainers, evaluating feature impacts on developer velocity and resource efficiency, and collaborating with model owners to balance training efficiency with model quality.
The Senior Software Engineer for Simulation Infrastructure will design systems, write code, oversee production services, and contribute to team projects while solving complex technical challenges. The role requires extensive experience in developing and maintaining large-scale infrastructure platforms.
As a Senior Machine Learning Software Engineer at Waymo, you will develop and improve machine learning models that assess the behavior of autonomous vehicles. You will work on building ML infrastructure and collaborate with various teams to bring advanced models into production.
Waymo is offering a summer internship for MS/PhD candidates specializing in GPU software. Interns will work on software engineering projects involving GPU optimization and performance analysis, contributing to autonomous driving technologies. Responsibilities include navigating large software projects and collaborating with engineering teams.
As an iOS Engineer at Waymo, you will develop an iOS application for controlling and hailing autonomous vehicles, focusing on UI and phone-to-vehicle communication. Collaborate with designers and engineers to create trust-inspiring user experiences while employing best practices in app development.