Software Engineer, II - Data Engineering

Software Engineer, II - Data Engineering

Ann Arbor, MI, Blacksburg, Va

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Torc's Data Engineering team is a highly collaborative group focused on building secure, scalable systems that let customers work with data easily and confidently. We operate as a distributed, remote first team, ensuring everyone has equal access to information and collaboration. Our work includes frequent touchpoints—daily standups, planning sessions, and ad hoc discussions over Zoom or Slack. Because we own our services end-to-end, each engineer participates in a business hour on call rotation.

We prioritize healthy work/life balance and sustainable development over heroic efforts.

We are seeking a Software Engineer with experience in implementing and maintaining Linux and cloud-based data management solutions who is ready to extend that experience. In this role you will be working closely with other engineers on the implementation of AWS-native data ingestion, ETL, and storage solutions that power data driven analytics, simulation, and ML training across the enterprise.

• 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 delivery 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
• Contribute to the design, architecture 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

Here's a list of some of the technologies we use to make all the above happen:

• Managed services powered by AWS (Lambda, SFN, Batch, Event Bridge, Athena, Glue)
• Linux / Bash
• Docker
• Terraform
• Python
• React/Java script
• On-Call Tooling (Datadog, AWS Cloudwatch)
• CI/CD Tooling (Jenkins, Git Hub Actions)

• Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 4+ years of experience or;
• Master's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 0-3+ years of experience.
• Experience deploying, troubleshooting, monitoring and maintaining Linux systems
• Experience building and maintaining workloads in public cloud environments
• Knowledge of different database architectures, including but not limited to relational and No
  
  SQL databases, vector stores, data warehousing and clustered, distributed data stores
• Practical experience with Linux and general bash scripting
• Practical experience with Docker and containerization
• Implementation of workflow patterns using directed acyclic graphs (Apache Airflow, AWS Step Functions)
• A strong commitment to test-driven development patterns, continuous integration and delivery, and infrastructure as code

• Strong organizational, time management, and communication skills working with a team orientation and collaborative style
• Experience with the Databricks platform, particularly for serving data, visualizations and jobs
• Experience with scaling data for ML and AI workloads using Ray
• Experience with pandas, numpy and other Python-based data analysis libraries and tooling
• Deep 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
• Own end-to-end architecture and delivery of cloud-based solutions.

Perks of Being a Full-time Torc'r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and…