Software Engineer 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.

Meet the Team

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.

What You’llDo

We are looking for a Software Engineer who is eager to learn and grow while helping build and support Linux- and cloud-based data systems. In this role, you’ll work closely with experienced engineers to contribute to AWS-based data ingestion, ETL, and storage solutions that enable analytics, simulation, and ML training across the company.

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

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)

Docker

Terraform

Python

On-Call Tooling (Datadog, AWS Cloudwatch)

Databricks

What You’llNeed to Succeed

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

Bonus Points

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…