27 Jul
Engineering Manager, Vehicle Driving Data
California, Newark , 94560 Newark USA

Vacancy expired!

Leading the future of luxury mobility Lucid's mission is to inspire the adoption of sustainable energy by creating the most captivating luxury electric vehicles, centered around the human experience. Working at Lucid Motors means having a shared vision to power the future in revolutionary ways. Be part of a once-in-a-lifetime opportunity to transform the automotive industry. The hands-on Big Data Engineering Manager is responsible to design and build highly scalable streaming data storage and pipeline for vehicle driving data such as sensors, cameras, radars, and Lidars. If building large and building fast, working with a young and very talented team of engineers, and collaborating with the brightest mind in the Automotive industry is what you like, Lucid is the best to experience it. Role

  • Hands-on architecture, design, and development of big data streaming systems.
  • Design IoT system to communicate and move data between Vehicle and Cloud.
  • Utilize cutting edge distributed big data technologies such as Docker, Kubernetes, Spark, MQTT, gRPC, rosbag, Kafka, S3 Data Lake, Video and Audio processing
  • Build and grow an amazing team of data engineers with a strong culture of balancing excellence with moving fast.
  • Lead and manage the team as a hands-on technical leader. Help the team make key technical decisions, unblock the team, and guide the team on execution.
  • Set technical direction, roadmaps and guide evolution of our data systems.
  • Hands-on application development with Scala, Golang or PySpark
  • Develop, communicate, and evangelize the long-term technical vision and roadmap for data storage, ingestion, and retrieval in collaboration with the technical leads
  • Drive the technical and strategic vision for our data integration infrastructure in order to meet current and future needs for scale and interoperability
Qualifications
  • B.S. or M.S. in Computer Science, or equivalent
  • 10+ years of hands-on industry experience working in data or software engineering.
  • 3+ years of software/Data engineering management experience working with Big Data
  • Deep knowledge of modern data/compute infrastructure and frameworks, such as Docker, Kubernetes, Spark, Kafka, S3 Data Lake, Parquet, rosbag MQTT, gRPC.
  • Experience Developing streaming, real-time and near real-time data pipelines with tools such as Spark or Kafka.
  • Working knowledge of Data Lake with Parquet and HCatalog.
  • Ability to cultivate a strong sense of ownership, and build a culture of accountability in your team
  • Openness to new or different ideas and ability to evaluate multiple approaches and choose the best one based on fundamental qualities and supporting data
  • Ability to communicate highly technical problems and solutions at all levels from engineers to top leadership
  • Proven track record of building high functioning teams, setting technical vision, and delivering results in a collaborative, cross-functional organization.
Be part of something amazing Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we're providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. At Lucid, we don't just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations. To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.

Vacancy expired!

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