Note: The job is a remote job and is open to candidates in USA. Torc Robotics is a leader in autonomous driving technology focused on developing software for automated trucks. They are seeking a Software Engineer to build and support data systems, contributing to data ingestion, ETL, and storage solutions for analytics and machine learning.
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 competitive compensation package that includes 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 and generous paid vacation (available immediately after start date)
- AD+D and Life Insurance
Company Overview