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As the Senior Principal Data Annotation Team Lead, you will oversee data annotation processes for autonomous vehicle systems, leading internal teams and external vendors, ensuring high-quality standards and operational efficiency. You will implement quality assurance measures, forecast annotation requirements, and optimize collaboration to support data integration into development pipelines.
The Senior Analyst will conduct research on market trends and competitive dynamics in autonomous mobility, develop benchmarking materials, assist in preparing executive communications, build market sizing models, and support cross-functional teams in strategic planning and product roadmaps.
The Senior Manager of Test Operations is responsible for overseeing the operations of the AV testing fleet, ensuring high performance and reliability, managing the Test Operations team, mentoring personnel, and collaborating across departments to meet performance goals and enhance operational efficiency.
The Principal Autonomy Integration Engineer will guide autonomous system product development, define strategic vision and roadmap, collaborate with teams and leadership, and innovate within the autonomous vehicle industry, ensuring successful execution and improvements in development processes.
The Senior Principal Data Annotation Team Lead will lead a high-performing team to ensure data annotation processes for autonomous vehicle systems are efficient and accurate. Responsibilities include managing vendor relationships, optimizing workflows, implementing quality control measures, and collaborating across teams to meet data requirements.
The Senior Motion Planning Engineer will research and develop algorithms for autonomous vehicles, focusing on mobile robotics, motion planning, and software systems. Responsibilities include creating safe motion plans, integrating algorithms for vehicle autonomy, mentoring team members, and collaborating across various engineering disciplines.
As a Senior Software Engineer specializing in VSLAM, you will develop and architect advanced mapping and localization solutions for autonomous driving. The role involves solving complex challenges in mapping using state-of-the-art techniques, collaborating with interdisciplinary teams, and prioritizing safety in software development.
As a Senior Software Engineer/Data Scientist in the Autonomy Integration Team, you will analyze autonomous vehicle performance using statistical and machine learning methods, develop insights from large datasets, mentor team members, and establish best practices for data utilization while collaborating with various teams.
The Principal Engineer for the ML Training Platform will lead a team to enhance the ML training and evaluation process. Responsibilities include designing and maintaining scalable ML data processing solutions in AWS using Kubernetes, optimizing model performance with GPUs, and collaborating with various teams to ensure the effective execution of technical initiatives.
The Principal Engineer will lead a team to develop and maintain large-scale data processing pipelines, focusing on extracting, transforming, and providing access to data from autonomous vehicle logs while managing project timelines and mentoring engineers.
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