At Lucid, we aim to create captivating, luxury electric vehicles that enhance the human experience. We are seeking an ADAS Data Engineer to devise, develop, and maintain Autonomous Driving data processing pipelines on AWS cloud, Kubernetes, and on-prem servers. This role involves cleaning, processing, storing, and dashboarding data from vehicle sensors, optimizing data solutions, and collaborating with cross-domain teams to create software solutions.

Must Have

• Devise, develop, and maintain ADAS data processing pipelines on AWS, Kubernetes, and on-prem.
• Cleanup, process, store, and dashboard structured/unstructured data from vehicle sensors.
• Optimize data storage, search, and processing with big data frameworks.
• Work with cross-domain teams to create/modify software solutions.
• Architect and deliver software solutions from technical requirements.
• Proficiency in Python and/or Golang.
• Experience with Relational databases, specifically PostgreSQL.
• Professional experience with AWS cloud and Kubernetes deployments.
• Experience developing multi-core software, containerized apps, and microservices.

Good to Have

• Strong sense of ownership and proactive initiatives.
• Experience building efficient, scalable distributed systems for large data volumes.
• Past experience in Autonomous Driving industry, backend and cloud development.

Perks & Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Disability insurance
• Vacation
• 401k
• Eligibility for Lucid’s equity program
• Eligibility for a discretionary annual incentive program

ADAS Data Engineer

Leading the future in luxury electric and mobility

At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.

We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.

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.

Responsibilities

• Devise, develop, and maintain Autonomous Driving data processing pipelines on the AWS cloud, Kubernetes clusters, and on-prem servers.
• Cleanup, parse, process, store, and dashboard both structured and unstructured data recorded from on-board vehicle sensors (e.g. Cameras, LiDARs, RADARs, GPS, and many others recording timeseries data).
• Help us optimize the data storage, search and data processing based on a diverse mix of storage solutions, caching techniques, and big data frameworks.
• Work with multiple cross-domain teams (e.g. Data Collection, Machine Learning, testing engineers, 3rd party data-annotation vendors etc.). Create or modify software solutions that fit their needs.

Required Qualifications

• Ability to architect and deliver the software solutions from loosely described technical and non-technical requirements.
• Proficiency in Python and/or Golang.
• Experience working with Relational databases. We use PostgreSQL.
• Professional experience with AWS cloud and deploying applications to Kubernetes cluster.
• Experience with developing multi-core software, containerized applications, and backend microservices.

Preferred Qualifications

• Strong sense of ownership and proactive initiatives to address tasks and challenges without waiting for explicit direction.
• Experience in building efficient and scalable distributed systems capable of handling many terabytes of data per day.
• Past experience in the Autonomous Driving industry, specifically backend and cloud development.
• Role Keywords: AWS, Kubernetes, Airflow, Python, Go, Microservices, Database, SQL, Terraform, Docker, REST, Helm.

Salary Range

The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.

Additional Compensation and Benefits

Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)

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