[Remote] Software Engineer, I - Data Engineering

About the role

Note: The job is a remote job and is open to candidates in USA. Torc Robotics is a leader in autonomous vehicle technology focused on developing software for automated trucks. They are seeking a Software Engineer to help build and support Linux- and cloud-based data systems, contributing to AWS-based data ingestion, ETL, and storage solutions for analytics and ML training.

Responsibilities

Create robust and resilient pipelines to process massive daily volumes of data created by vehicle fleets and simulation environmentsBuild and support scalable pipelines as part of Torc’s Data Factory to deliver data for ML training at scaleScale Torc’s data lake through a distributed storage system, data crawling and discoveryPromote and protect the integrity of data through validation, versioning, data provenance, and governanceSupport the expansion of Torc’s data lake through acquisition of additional data sets from internal and external sourcesAssist in the development and delivery of cloud-based solutionsCollaborate with teams specializing in perception, planning, control, mapping and vehicle testing to develop solutions that support product deliverySupport the implementation of emerging cloud-based capabilities that can extend our technology stack and improve our ability to build, deploy and test safety-critical software for self-driving vehiclesParticipate in the team’s on-call rotation to support our deployed systems during business hours Skills

BS/MS Degree in Computer Engineering, Computer Science, or related fieldExperience writing code using PythonPractical experience with Docker and containerizationA strong commitment to test-driven development patterns, continuous integration and delivery, and infrastructure as codeExperience with Linux and general bash scriptingExperience deploying, troubleshooting, monitoring and maintaining Linux systemsStrong organizational, time management, and communication skills working with a team orientation and collaborative styleExperience developing cloud-based serverless solutionsExperience with pandas, numpy and other Python-based data analysis libraries and toolingKnowledge of AWS serverless architectures (Lambda, Batch, ECS Fargate, Glue, Athena)Experience with data storage and acquisition patterns for robotics and advanced driver assistance systemsKnowledge of different database architectures, including but not limited to relational and NoSQL databases, vector stores, data warehousing and clustered, distributed data storesExperience with the Databricks platform, particularly for serving data, visualizations and jobsExperience with scaling data for ML and AI workloads using Ray Benefits