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The Manager of Hardware Test Engineering will lead cross-functional teams to build continuous integration infrastructure for vehicle architecture. They will improve documentation, manage the build queue, and coordinate with manufacturing teams to optimize testing processes while ensuring support and troubleshooting for design assets.
As a Senior/Staff Systems Engineer, you will contribute to the Safety Case of autonomous vehicle technology, perform system-level hazard analyses, develop safety requirements, and improve system architecture. Collaborate with various teams to ensure safe deployment of autonomous driving systems and support verification and validation tests.
As a Technical Program Manager, you will drive corporate strategy into tactical roadmaps by working cross-functionally with engineering leaders. Your responsibilities include planning product configurations, translating corporate goals into project timelines, creating reports on program status, and collaborating with teams to assess systems needs.
As a Software Systems Engineer, you'll lead engineering activities for the launch of safety-critical software in self-driving vehicles, ensuring compliance with industry safety standards. Responsibilities include developing safety processes, working with development teams, and managing projects to achieve safety goals while collaborating with the safety team.
The Senior/Staff Software Engineer will architect and develop core simulation foundations, including simulator and communication frameworks, while ensuring performance optimization. The role involves realistic traffic modeling, behavior simulation, and scenario generation for autonomous driving systems using a variety of tools and technologies.
The role involves designing the storage architecture, developing microservices, implementing APIs, integrating with other systems using message queues, and ensuring system stability and correctness. Collaboration with internal teams is essential for requirements and API design.
Responsible for developing rigorous mapping solutions and algorithms for Zoox vehicles, ensuring precise calibration, localization, and mapping. Collaborate on building a scalable 3D mapping system and develop verifiably robust algorithms for diverse data environments.
The role involves developing machine-learned models for vehicle behavior prediction, collaborating on distributed compute algorithms and performance metrics, and closely working with various engineering teams on autonomous driving challenges in urban environments.
Join the Perception team at Zoox and help build novel architectures for classifying and understanding complex environments. Access the best sensor data and work on algorithms for segmentation, tracking, classification, and scene understanding.
Zoox is looking for software engineers to help build the front-end for simulation and validation framework. The engineers should have experience with modern JS frameworks, web servers, web technologies, and bonus qualifications including Java/Kotlin, Spring, AWS, databases, WebGL, web 3D UI frameworks, UX design, data visualization, and scalable architecture.
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