Senior Backend Engineer, Analytics - Autonomous Driving

  • Overview

    We start building a team for our new client, Cyngn, and looking for an experienced backend engineer to join this endeavor together with us and help Cyngn with building the analytics platform for its autonomous vehicles ecosystem.

    Cyngn is a Silicon Valley-based autonomous vehicle startup backed by leading Venture Capital firms, including Andreessen Horowitz, Benchmark Capital, and Index Ventures.

    Cyngn is a team of engineers and scientists, and they believe in building the best products through open and honest collaboration. Cyngn is constantly experimenting, asking questions, listening to feedback, and acting.

    The journey of creating and building is just as important as the final product. Cingn prides itself on its trusting and creative work environment; it is what has led them to build one of the world’s leading autonomous vehicle solutions. Their advanced self-driving system is cost-effective, modular, and broadly applicable across a variety of industries and vehicles by leveraging applied artificial intelligence, leading-edge sensors, and robotics.

  • Responsibilities

    Own and maintain data pipeline that extracts data from production SQL and noSQL data sources, perform necessary transformations, loads results into an analytics database (AWS Redshift), and delivers business analytics dashboards through Tableau Server

    Optimize this pipeline for performance and capacity consumption, including but not limited to: query performance optimization, schema design, data transform design, etc.

    Research and adopt alternative technologies throughout the ecosystem to keep up with product and performance requirements

    Maintain and enhance existing reports and build new ones to reflect product functionality

    Help the product team and customers analyze data to adjust product direction

    Champion data-driven decision-making. Work closely with Product and Engineering to refine metrics-related requirements

    Embed into feature teams to ensure measurability throughout the development lifecycle

  • We Require

    About you:

    • You’re obsessed with creating scalable applications using Java

    • You take pride in the quality and thoughtfulness of your code, which is modular, flexible, well designed and documented

    • Peer code reviews are your preferred way to collaborate and learn the system

    • You proactively seek out and help to minimize pain points within Cyngn infrastructure and codebase

    • You stay abreast of the latest technologies and share what you learn with others

    • You are not afraid of failing while experimenting with different technologies, development methodologies, and tools

    • You are fascinated by other cultures and interested in building strong relationships with team members across the globe

    Key skills required:

    5+ years of relevant experience

    Experience developing using Agile methodologies

    Experience in high-performance hyper-scale information systems in cloud environments

    Track record of delivery of performance optimization at scale

    Expert-level knowledge of business analytics systems and data engineering practices

    Experience with a wide variety and categories of data sources for structured and unstructured data

    Experience with a wide variety of data management systems, including queuing (such as Kafka), orchestration (such as Zookeeper), and higher-level analytics platforms such as Spark

    Ability to align other disciplines on data-driven design

    BS/MS CS or equivalent qualitative degree

    • Excellent teamwork and communication

    • Ability to gain alignment across cross-functional boundaries

    • Ability to challenge the norm and maturity to advocate for changes for the greater benefit of the business

    • Proven ability to take the product through all stages of development from concept to launch at scale

    • Experience building autonomous vehicle technology is a plus

    • BS/MS CS or equivalent qualitative degree

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