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Remote Software Debugger Jobs in Michigan (NOW HIRING)

Huntington

Senior Full Stack Developer

Detroit, MI · On-site +1

$70K - $140K/yr

Full SDLC experience with software development. * 3+ years of experience in developing REST APIs in ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Senior Full Stack Developer

Detroit, MI · On-site +1

$70K - $140K/yr

Full SDLC experience with software development. * 3+ years of experience in developing REST APIs in ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

DISHER

Vision Engineer

Detroit, MI · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Write, implement, and debug PLC software. * Provide support to existing vision equipment globally.

DISHER

Vision Engineer

Detroit, MI · On-site +1

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Write, implement, and debug PLC software. * Provide support to existing vision equipment globally.

Fidus Systems

Hardware Designer

Detroit, MI · On-site +1

We specialize in leading-edge electronic product development, with hardware, embedded software ... Hands-on debugging experience involving scopes, VNAs, signal generators, electronic loads

Huntington

Senior Developer

Detroit, MI · On-site +1

$57K - $113K/yr

Troubleshoot, debug, and resolve application issues across development and production environments ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Senior Developer

Detroit, MI · On-site +1

$57K - $113K/yr

Troubleshoot, debug, and resolve application issues across development and production environments ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Wood Plc

Project Engineer

Warren, MI · Remote

This role will lead or support the delivery of automation/controls design and software projects ... debug, as-builts and field installation #LI-Remote Skills / Qualifications Skills: * A Bachelor ...

OneStream

AI Engineer

Birmingham, MI · Remote

Troubleshoot and debug issues across the full stack, from the user interface to the database layer ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-AS1

OneStream

AI Engineer

Birmingham, MI · Remote

Troubleshoot and debug issues across the full stack, from the user interface to the database layer ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-AS1

OneStream

AI Engineer

Birmingham, MI · Remote

Troubleshoot and debug issues across the full stack, from the user interface to the database layer ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

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All JobsSoftware Debugger JobsRemote Software Debugger JobsRemote Software Debugger Jobs in Michigan

Remote Software Debugger information

What is a remote software debugger?

A Remote Software Debugger is a professional who specializes in identifying, analyzing, and fixing software bugs or errors from a remote location. They use specialized tools to connect to software systems or applications over the internet, allowing them to diagnose issues without being physically present. This role is essential for distributed teams or companies with global operations, as it enables rapid troubleshooting and support. Remote Software Debuggers often work with developers and IT teams to resolve software malfunctions, improve performance, and ensure systems run smoothly.

What are the key skills and qualifications needed to thrive as a remote software debugger?

To thrive as a Remote Software Debugger, you need strong programming skills, a deep understanding of debugging methodologies, and experience with software development lifecycles, often supported by a degree in computer science or related field. Proficiency with debugging tools (such as GDB, WinDbg, or Visual Studio Debugger), version control systems like Git, and familiarity with issue tracking platforms are typically required. Analytical thinking, problem-solving skills, and effective remote communication set outstanding debuggers apart. These abilities help quickly identify and resolve software issues, ensuring reliable and efficient software performance in distributed environments.

What are some common challenges faced by remote software debuggers, and how can they be managed effectively?

Remote software debuggers often encounter challenges related to communication, time zone differences, and limited access to certain environments or resources. Effective management of these issues includes utilizing robust collaboration tools, maintaining clear documentation, and scheduling regular check-ins with team members. Proactively seeking clarification and sharing progress updates can help ensure alignment, while leveraging remote debugging tools and secure access protocols can address technical barriers. Adapting to these practices enables remote debuggers to work efficiently and remain connected with their teams.

What is the difference between Remote Software Debugger vs Remote Software Tester?

AspectRemote Software DebuggerRemote Software Tester
Required CredentialsKnowledge of debugging tools, programming skills, sometimes certifications in specific languagesUnderstanding of testing methodologies, QA certifications often preferred
Work EnvironmentTypically integrated within development teams, using IDEs and debugging tools remotelyOften works independently or within QA teams, using testing platforms and bug tracking tools remotely
Employer & Industry UsageSoftware development companies, tech firms, gaming, and app developmentSoftware companies, QA firms, tech startups, and app developers

Remote Software Debuggers focus on identifying and fixing bugs within code during development, while Remote Software Testers evaluate software quality through testing processes. Both roles require technical skills but differ in their primary objectives and tools used.

What are popular job titles related to Remote Software Debugger jobs in Michigan?

For Remote Software Debugger jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Software Debugger jobs in Michigan look for?

The top searched job categories for Remote Software Debugger jobs in Michigan are:

What cities in Michigan are hiring for Remote Software Debugger jobs?

Cities in Michigan with the most Remote Software Debugger job openings:

Remote Software Debugger jobs near you

Senior, Machine Learning Engineer - End-to-End

Torc Robotics

Ann Arbor, MI • On-site, Remote

$119K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Key responsibilities

  • Develop and deliver End-to-End machine learning models that process multi-modal sensor inputs to produce driving-relevant outputs.

  • Analyze model performance, identify failure modes, and implement data-driven improvements to enhance robustness and generalization.

  • Collaborate with cross-functional teams to integrate models into simulation and vehicle systems, and support closed-loop validation.

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:
As a Senior Machine Learning Engineer - End-to-End (E2E), you will develop and scale learning-based systems that connect multi-modal perception inputs to driving behavior, enabling safe, efficient, and human-like autonomy for real-world freight operations.
You'll work at the intersection of perception, prediction, and planning, contributing to unified learning pipelines that operate in closed-loop environments. This role focuses on owning meaningful portions of the E2E stack, improving model performance at scale, and driving iteration through data, experimentation, and cross-functional collaboration.
This is a hands-on engineering role focused on execution, iteration, and delivery.
What You'll Do
  • Own development and delivery of End-to-End ML models that map multi-modal sensor inputs (camera, LiDAR, radar, maps) to driving-relevant outputs (trajectories, cost functions, or intermediate representations)
  • Train and evaluate models using large-scale datasets from fleet logs, simulation, and synthetic data
  • Analyze model performance, identify failure modes, and drive data-driven improvements in robustness and generalization
  • Design and refine training pipelines, data workflows, and evaluation strategies to improve iteration speed and model quality
  • Contribute to model architecture decisions, including approaches such as imitation learning, reinforcement learning, transformers, and vision-language-action (VLA) models
  • Collaborate closely with Perception, Prediction, Planning, and Simulation teams to ensure alignment across the autonomy stack
  • Support integration of E2E models into simulation and on-vehicle systems for closed-loop validation
  • Improve tooling, experimentation workflows, and reproducibility across the team
  • Mentor junior engineers and contribute to team-level best practices and technical discussions

What You'll Need to Succeed
  • Bachelor's degree with 6+ years, Master's with 3+ years, or PhD with 1+ years of experience in Machine Learning, Robotics, Computer Science, or a related field with a track record of publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)
  • Experience developing and deploying ML models for autonomous systems, robotics, or complex decision-making environments
  • Strong programming skills in Python and PyTorch, with ability to write production-quality ML code
  • Experience training and evaluating models using large-scale datasets and distributed compute environments
  • Solid understanding of ML architectures used in E2E systems, such as Transformers, BEV models, VLA/VLM approaches, or diffusion models
  • Proven ability to debug model behavior, analyze performance metrics, and drive iterative improvements
  • Experience contributing to or influencing model architecture and training strategies
  • Ability to work cross-functionally and integrate ML systems into larger autonomy pipelines

Bonus Points
  • Experience developing End-to-End or mid-to-end models for autonomous driving or robotics
  • Experience with vision-language models (VLMs) or vision-language-action (VLA) systems
  • Familiarity with closed-loop simulation and evaluation frameworks
  • Experience with reinforcement learning or imitation learning in real-world systems
  • Experience with distributed training frameworks (e.g., Ray)
  • Understanding of vehicle dynamics, motion planning, or multi-agent systems

Work Location: For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.
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 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 matchFlexibility 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: 102665
Hiring Range for Job Opening
US Pay Range
$226,400-$271,700 USD

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