Software Engineer, I - Data Engineering New Ann Arbor, MI, Blacksburg, VA

Torc Robotics, Inc.

Ann Arbor (MI)

Hybrid

USD 114,000 - 137,000

Full time

4 days ago
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Benefits offered by this job

Bonus and stock options
100% paid medical, dental, and vision
401K with 6% employer match
Flexible schedule and generous paidvac
AD+D and Life Insurance

Job summary

Torc Robotics, Inc. in Ann Arbor, MI is seeking a Software Engineer for data engineering to build AWS-based data ingestion, ETL, and storage solutions that enable analytics, simulation, and ML training across the company.

You will develop robust pipelines to process massive daily data from vehicle fleets and simulations, scale our data lake, enforce data governance, and collaborate with perception, planning, control, and mapping teams to deliver safe, scalable software for self-driving trucks.

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.

Responsibilities

  • Develop and support AWS-based data ingestion, ETL, and storage solutions for analytics, simulation, and ML training.
  • Create robust pipelines to process massive daily data from vehicle fleets and simulations.
  • Scale Torc’s data lake through distributed storage, data crawling, and discovery.
  • Promote data integrity through validation, versioning, provenance, and governance.
  • Collaborate with perception, planning, control, mapping and vehicle testing teams to deliver product-ready software.
  • Assist in deploying and delivering cloud-based solutions.

Skills

Python
Docker
Linux
AWS
Data pipelines
ETL
On-call rotation
SQL/NoSQL

Education

BS/MS in Computer Engineering/CS or related field

Tools

Databricks
Terraform
AWS

Job description

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.

WhatYou’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, EventBridge, Athena, Glue)

Docker

Terraform

Python

On-Call Tooling (Datadog, AWS Cloudwatch)

Databricks

WhatYou’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 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

Perks of Being a Full-timeTorc’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 team focused. Torc offers:

  • A competitive compensation package that includes a bonuscomponentand 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 (availableimmediatelyafterstartdate)
  • AD+D and Life Insurance

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Job ID: 102861

Hiring Range for Job Opening

US Pay Range

$114,400 - $137,300 USD

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