Staff Data Platform Engineer
June 29
🏢 In-office - Bay Area
Description
• Design and implement a cutting-edge real time data management platform for autonomous driving • Maintain and optimize data pipelines and infrastructure to support scalable deep learning model training and LLM training. • Serve as a primary contributor to the evolution of our data architecture, integrating emerging data frameworks and AI tools, troubleshooting technical challenges, and promoting best practices • Lead high-impact projects involving multiple stakeholders from conception to deployment, ensuring alignment with our strategic long-term objectives
Requirements
• Master’s degree in Computer Science or equivalent practical experience; minimum of 5 years in data platform development or infrastructure • Proficient in software design and coding with extensive experience in Python, Java, or Scala; deep understanding of data structures and algorithms • Expert knowledge of distributed systems and practical experience with components of the Big Data ecosystem (e.g., Spark, Hadoop, Flink, Kafka, Delta Lake, Elastic Search) • Extensive experience with cloud services (AWS, Google Cloud, Azure) and their use in driving industry innovations • Work well independently, demonstrate problem-solving abilities by investigating, analyzing, drawing conclusions, effectively communicates with stakeholders to get assignment done • Enthusiasm for self-driving technology, excellent communication skills, and a strong collaborative spirit
Benefits
• A dynamic, supportive, and engaging work environment where creativity thrives • The opportunity to make a significant impact on the transportation revolution through advancements in autonomous driving • Exposure to cutting-edge technologies alongside top industry talent • Competitive compensation package • Perks including snacks, lunches, and organized fun activities
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