[Remote] Software Engineer, I - Data Engineering
Note: The job is a remote job and is open to candidates in USA. Torc Robotics develops software for automated trucks and autonomous vehicle technology. The Software Engineer, I - Data Engineering role helps build and support Linux- and cloud-based data systems, including AWS-based data ingestion, ETL, storage, and data pipelines for analytics, simulation, and machine learning. The engineer will collaborate across autonomous driving teams and participate in business-hours on-call support.
Responsibilities
- Create robust and resilient pipelines to process massive daily volumes of data created by vehicle fleets and simulation environments
- Build and support scalable pipelines as part of Torc’s Data Factory to deliver data for ML training at scale
- Scale Torc’s data lake through a distributed storage system, data crawling and discovery
- Promote and protect the integrity of data through validation, versioning, data provenance, and governance
- Support the expansion of Torc’s data lake through acquisition of additional data sets from internal and external sources
- Assist in the development and delivery of cloud-based solutions
- Collaborate with teams specializing in perception, planning, control, mapping and vehicle testing to develop solutions that support product delivery
- Support 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 vehicles
- Participate 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 field
- Experience writing code using Python
- Practical experience with Docker and containerization
- A strong commitment to test-driven development patterns, continuous integration and delivery, and infrastructure as code
- Experience with Linux and general bash scripting
- Experience deploying, troubleshooting, monitoring and maintaining Linux systems
- Strong organizational, time management, and communication skills working with a team orientation and collaborative style
- Experience developing cloud-based serverless solutions
- Experience with pandas, numpy and other Python-based data analysis libraries and tooling
- Knowledge of AWS serverless architectures (Lambda, Batch, ECS Fargate, Glue, Athena)
- Experience with data storage and acquisition patterns for robotics and advanced driver assistance systems
- Knowledge of different database architectures, including but not limited to relational and NoSQL databases, vector stores, data warehousing and clustered, distributed data stores
- Experience with the Databricks platform, particularly for serving data, visualizations and jobs
- Experience with scaling data for ML and AI workloads using Ray
Benefits
- A bonus component and stock options
- 100% paid medical, dental, and vision premiums for full-time employees
- 401K plan with a 6% employer match
- Flexibility in schedule
- Generous paid vacation (available immediately after start date)
- AD+D and Life Insurance
- Distributed, remote-first team
- Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package
Company Overview
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