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.
