Software Engineer, I - Data Engineering

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

Preferred

• 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
• Cloud-based solutions
• Pandas
• Numpy
• Python data analysis
• AWS serverless architectures
• Data storage patterns
• Robotics systems
• Database architectures
• Relational databases
• NoSQL databases
• Data warehousing
• Distributed data stores
• Databricks platform
• Data visualizations
• ML workloads
• AI workloads
• Ray
• Organizational skills
• Time management
• Communication skills
• Team orientation
• Collaborative style

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

• Autonomous self-driving truck software for the freight industry
• Blacksburg, Virginia, USA
• http://torc.ai/
• Founded in 2005
• 501-1000 employees

Qualifications

• 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

Required skills

• Python, Docker, Linux, Bash Scripting, Test-Driven Development, Continuous Integration and Delivery, Infrastructure as Code, AWS Serverless Architectures, Databricks, pandas, NumPy, Ray

Preferred skills

• Experience developing cloud-based serverless solutions

Experience

• Entry level