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Waymo is seeking research engineers to work on building ultra-realistic autonomous vehicle simulations using machine learning techniques. The role involves collaborating with teams to improve simulation realism, designing experiments, developing metrics, training large models, and integrating them into the simulator. Preferred qualifications include a strong background in deep learning, coding skills, experience in ML techniques, and expertise in data analysis. Experience in autonomous vehicles is a plus.
The Software Engineer will develop and deploy deep learning models, including vision language models (VLMs) and large language models (LLMs). Responsibilities include creating data mining and training pipelines and collaborating with research teams across Alphabet, leveraging vast driving data for model development.
As a Software Engineer specializing in Computer Vision and Deep Learning at Waymo, you will develop multi-modal sensor fusion architectures and large-scale foundation models. You will also create data pipelines to enhance the Waymo Driver's capabilities using machine learning.
Design, implement and test system software components, Linux Kernel device drivers, and other components for high-performance embedded systems at Waymo. Take on complex problems and provide clean solutions. Work closely with engineering teams.
As a Software Engineer in the Sensors team at Waymo, you will engage in multidisciplinary collaboration focused on radar, cameras, and sensor architecture design. Responsibilities include maintaining cloud-based manufacturing and test infrastructure, embedded control for radar, and conducting software testing to ensure reliability of systems used in autonomous vehicles.
Maximize performance of neural networks by enhancing and extending production grade compiler. Develop deep understanding of unique neural network inference platform and state-of-the-art neural networks. Implement compiler support for novel features of high-performance architecture.
Analyzing and optimizing code performance, designing and implementing compiler support, collaborating with hardware architects, and tuning neural networks for better efficiency and accuracy.
As a Technical Lead, you will develop Generative AI-driven solutions for perception simulation, focusing on machine learning algorithms and productization. You'll work on sensor data generation and contribute to large-scale software systems with a direct impact on Waymo's expansion efforts.
You will build and evolve mission-critical commercialization tools and collaborate with cross-functional teams to solve real-world problems like demand planning and fleet optimization. Your role involves hands-on technical work in backend development and interfacing with product and operations teams.
You will eliminate dependencies from various binaries used in the simulator, automate performance regression detection, and improve tooling and documentation for builds. This role emphasizes collaboration with engineers on complex software challenges related to autonomous driving.
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