Software Engineer

3 weeks ago


Austin, United States Avride Inc. Full time

JOB DUTIES: Design, develop and support the backend infrastructure for a service dedicated to labeling self-driving car perception data Design, develop, and support a comprehensive storage solution specifically tailored for managing perception data, as well as systems for both data collection and analytics functionalities Design, develop and support data processing pipelines within a Kubernetes cluster environment Design, develop and support procedures for sensor fusion and the acquisition of diverse datasets Implement algorithms designed to optimize and improve the effectiveness of the human annotation procedure Implement advanced algorithms in data mining, active learning, and uncertainty estimation Collaborate closely with fellow researchers and engineers across the organization to establish an integrated system for collecting high-quality perception datasets JOB REQUIREMENTS: Master's degree in Computer Science or equivalent. Foreign equivalent is acceptable. At least 5 years of professional experience in Software engineering or equivalent At least 3 years of experience working with data-intensive systems using machine learning At least 5 years of professional experience in Software engineering or equivalent; Knowledge of batch and streaming data processing, warehousing, and analytics solutions Have a strong understanding of machine learning theory and familiarity with active learning approaches Knowledge of Perception fundamentals: detection, tracking, sensor fusion, metrics and statistics Familiarity with self-driving projects' architecture and principles: knowing principles of their work, deployment, data delivery, analytics processes; expertise in servicing and working with self-driving cars and robots Proficiency in Python and its frameworks and libraries: PySpark, Django, SQLAlchemy, alembic, Aiohttp, asyncio Hands-on experience with C++, ROS (Robot Operating System), and serialization technologies like FlatBuffers/Protocol Buffers At least 1 year of experience in designing and implementing data processing pipelines in Ku



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