# Software Engineer, II - Data Engineering at Torc Robotics

> United States · Mid-level · Data engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Atorcrobotics%3A8649374002 (read 2026-11-05).

## Facts (observed)

- Company: [Torc Robotics](https://alderhq.app/companies/torc-robotics)
- Location text: Ann Arbor, MI, Blacksburg, Va; Ann Arbor
- Where it can be done from (inferred): United States (evidence: "Location: Ann Arbor, MI, Blacksburg, Va; Ann Arbor")
- Posted: 2026-09-04 (62 days ago)
- First seen by alder: 2026-11-03 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/torcrobotics/jobs/8649374002
- Skills listed (inferred): JavaScript, React, Python, AWS, Docker, Terraform, Airflow

## Pay and sponsorship

- Posted pay: $139k–$167k per year (from the listing's pay field)
- Market band for similar posted roles (United States, n 8): p25 $108k, median $140k, p75 $153k
- H-1B filings at this company for similar roles, FY26: 34, median offered wage $171k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))

## Description (the employer's text)

About the Company

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’ll Do

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, EventBridge, Athena, Glue)
- Linux / Bash
- Docker
- Terraform
- Python
- React/Javascript
- On-Call Tooling (Datadog, AWS Cloudwatch)
- CI/CD Tooling (Jenkins, GitHub Actions)
### What You’ll Need to Succeed

- 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 NoSQL 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

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Atorcrobotics%3A8649374002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.