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Company | Luminar Technologies |
Address | Palo Alto, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Motor Vehicle Manufacturing |
Expires | 2023-10-11 |
Posted at | 11 months ago |
Luminar is a global automotive technology company ushering in a new era of vehicle safety and autonomy. For the past decade, Luminar has built an advanced hardware and software platform to enable its more than 50 industry partners, including the majority of global automotive OEMs. From Volvo Cars and Mercedes-Benz for consumer vehicles and Daimler Trucks for commercial trucks, to tech partners NVIDIA and Intel’s Mobileye, Luminar is poised to be the first automotive technology company to enable next-generation safety and autonomous capabilities for production vehicles. For more information please visit www.luminartech.com.
- Automated labeling and data enrichment.
- Partnering with engineering and ML teams to define data consumption patterns and establish best practices.
- Ingestion of real-world vehicle data.
- Analysis of data quality.
- Establishing robust data integrity and systems monitoring.
- Generation of ground truth information.
- Designing, building, and maintaining the infrastructure that transforms data at scale into insights:
- Strong communication skills, being able to collaborate with the wider software organization.
- Hands-on Big Data software and infrastructure development skills.
- Building backend / data services at scale.
- Accomplished in at least one backend language, preferably Python.
- Experience with NoSQL databases and/or Relational databases.
- Bachelor’s Degree (or higher) in Computer Science.
- 4+ years of relevant industry experience:
- Performance Engineering.
- Experience with automation of data infrastructure: Docker / Kubernetes / Terraform / Linux.
- Hands-on experience with cloud computing: AWS / GCP / Azure / Alibaba Cloud.
- Experience with MongoDB.
- Experience with SRE practices - running services reliably in production environments:
- Experience with pipeline / workflow frameworks: Argo Workflows or Airflow.
- Incident management and root cause analysis.
- Previous experience in the Automotive / Robotics industry.
- Proficiency in Python.
- Hands-on experience with data storage and transfer schemes like Avro, Parquet and Protobuf.
- Experience with processing frameworks like Spark / Hadoop.
- Experience with streaming and message queueing technologies: Kafka / Kinesis / RabbitMQ.
- Proficiency in front-end development, preferably using React.
- Experience with big data / data warehouse tools like Redshift, Presto/Athena, BigQuery and Snowflake.
- Experience with rosbags.
- Competitive Pay, 401k Matching and meaningful Equity from a publicly traded company
- Tuition Assistance, Meals served in the office
- Flexible Work Schedule with some Work From Home flexibility as well
- No limit on PTO
- Great Medical Benefits
- Note that the pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting.
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