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Remote Infrastructure Software Engineer Jobs in Detroit, MI

Bright Vision Technologies

AI Data Engineer

Troy, MI · Remote

$100K/mo

AI Data Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Open-source contributions to data infrastructure projects. * Experience supporting frontier model ...

General Motors

Senior Software Engineer (.NET )

Warren, MI · On-site +1

$115K - $151K/yr

We are seeking an experienced Senior Software Engineer ( .NET ) to join our team. In this role, you ... Experience with Azure Infrastructure to deploy, configure and troubleshooting ( IaC pipelines, Site ...

fng

Software Developer

Warren, MI · On-site +1

This is a remote position. Responsibilities * Design, develop, test, and deploy full-stack features ... Post-secondary education in computer science, software engineering, or a related field, or ...

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All JobsInfrastructure Software Engineer JobsRemote Infrastructure Software Engineer JobsRemote Infrastructure Software Engineer Jobs in Detroit, MI

Remote Infrastructure Software Engineer information

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$114.3K

$178.5K

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How much do remote infrastructure software engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote infrastructure software engineer in Detroit, MI is $178,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $171,300.00 and $202,900.00 per year, depending on experience, location, and employer.

What is a remote infrastructure software engineer?

Remote Infrastructure Software Engineers are professionals who design, build, and maintain the core systems and services that support an organization's IT infrastructure, all while working remotely. They focus on ensuring that networks, servers, cloud environments, and related software are secure, scalable, and reliable. Their responsibilities may include automating deployment processes, managing cloud resources, monitoring system performance, and troubleshooting issues. By working remotely, they leverage various collaboration tools to communicate with teams and manage critical infrastructure from anywhere.

How does a remote infrastructure software engineer typically collaborate with cross-functional teams in a distributed work environment?

Remote Infrastructure Software Engineers regularly work with DevOps, security, and development teams to ensure that infrastructure solutions are reliable and scalable. Collaboration often happens through daily stand-ups, code reviews, and shared documentation platforms, making strong communication skills essential. Tools like Slack, Jira, and Zoom are commonly used to bridge the distance and keep projects aligned. Successfully navigating time zone differences and asynchronous communication is a key part of the role, requiring proactive updates and flexibility.

What are the key skills and qualifications needed to thrive as a remote infrastructure software engineer, and why are they important?

To thrive as a Remote Infrastructure Software Engineer, you need a strong background in software engineering, computer networking, and distributed systems, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), infrastructure-as-code tools (like Terraform or Ansible), and CI/CD systems is essential, along with relevant certifications like AWS Certified Solutions Architect. Excellent problem-solving, communication, and self-management skills are crucial for collaborating effectively across distributed teams and handling complex remote projects. These skills ensure secure, reliable, and scalable systems that support business goals in a remote work environment.

What are the most commonly searched types of Infrastructure Software Engineer jobs in Detroit, MI?

The most popular types of Infrastructure Software Engineer jobs in Detroit, MI are:

What are popular job titles related to Remote Infrastructure Software Engineer jobs in Detroit, MI?

For Remote Infrastructure Software Engineer jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Remote Infrastructure Software Engineer jobs in Detroit, MI look for?

The top searched job categories for Remote Infrastructure Software Engineer jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Remote Infrastructure Software Engineer jobs?

Cities near Detroit, MI with the most Remote Infrastructure Software Engineer job openings:

Remote Infrastructure Software Engineer jobs near you

Senior, Software Engineer - AutoTagging

Torc Robotics

Ann Arbor, MI • On-site, Remote

$119K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

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
The Auto Tagger team is the engine behind our data flywheel, responsible for translating petabytes of raw, multi-modal vehicle data into a highly curated library of critical driving scenarios. By mining driving logs for long-tail events, we provide the foundational data required for safe autonomous trucking. Leveraging Pegasus logical layers, this team structures and catalogs findings into an observations database that directly accelerates development across autonomous perception, sensor fusion, and generative simulation testing.
What You'll Do
  • Integrate and deploy automated event-tagger into production pipelines, running and monitoring tagging tasks at scale across petabytes of vehicle log data.
  • Build and maintain the data engineering pipelines that organize, structure, and catalog tagged scenario data into the observations database.
  • Own CI/CD for the Auto Tagger pipeline using GitHub Actions, keeping deployments reliable, tested, and repeatable.
  • Write production grade code in Python across the pipeline, from data ingestion and transformation through model integration and deployment.
  • Build and operate on Databricks for large scale data processing, interactive querying, and pipeline orchestration.
  • Design, deploy, and scale AWS infrastructure (as code) to support high-volume, distributed processing of vehicle log pipelines - working with structured/tagged outputs and metadata.
  • Instrument pipelines with logging, metrics, and alerting; own on-call response for tagging job failures and data quality regressions.
  • Partner with ML engineers on the team to take tagging and classification models from development into a scalable, monitored production pipeline.
  • Ensure data quality and metadata integrity as tagged events move from raw logs into the observations database used by perception, simulation, and systems teams.
  • Troubleshoot and improve pipeline performance, reliability, and cost as data volume and model complexity grow.

What You'll Need to Succeed
  • BS or MS in Computer Science, Engineering, or a related field, with 5+ years of software engineering experience, including production data pipeline or ML infrastructure work.
  • Strong Python skills, with experience building and maintaining production data or ML pipelines.
  • Hands-on CI/CD experience, GitHub Actions required.
  • Required experience with Databricks for large scale data processing and orchestration.
  • Required experience with AWS, including infrastructure-as-code (Terraform or CloudFormation) for provisioning distributed processing infrastructure.
  • Experience processing large scale time series or unstructured datasets.
  • Experience with observability tooling (e.g., Datadog, Grafana, CloudWatch) for production pipeline monitoring and alerting.
  • Experience integrating and deploying ML models into production systems - serving, monitoring, and rollback, not just training.
  • Strong communication skills to work across ML, perception, and simulation teams.

Bonus Points!
  • Familiarity with auto-labeling pipelines, VLMs, or zero-shot classification for scenario extraction.
  • Experience with distributed compute frameworks such as Ray, Spark, or Daft.
  • Familiarity with robotics data formats (ROS bags, MCAP) and columnar storage formats (Parquet, Arrow).
  • Experience with model serving frameworks such as vLLM or SGLang.
  • Familiarity with scenario description standards like Pegasus layers.

Perks of Being a 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 team focused. Torc offers:
  • A competitive compensation package that includes 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 and generous paid vacation (available immediately after start date)
  • Company-wide holiday office closures
  • 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: R-102834
Hiring Range for Job Opening
US Pay Range
$160,800-$193,000 USD

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