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Remote Robotics Engineer Jobs in Michigan (NOW HIRING)

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

What You'll Need to Succeed: * BS or MS in Computer Science, Robotics, Engineering, or a STEM field, with 6+ years in data engineering, ML systems, or autonomous data curation. * Core Languages:

Daniels Health

Controls Engineer

Detroit, MI · On-site +1

$82K - $106K/yr

Daniels Health is seeking an experienced Controls Engineer to join our growing US engineering team ... in automation, robotics, and advanced manufacturing . This is a remote role. Travel will be ...

Daniels Health

Controls Engineer

Detroit, MI · Remote

$82K - $106K/yr

Daniels Health is seeking an experienced Controls Engineer to join our growing US engineering team ... in automation, robotics, and advanced manufacturing . This is a remote role. Travel will be ...

Hitachi

Simulation Engineer

Holland, MI · On-site +1

Engineering & Science Job Schedule: Full time Remote: No The Opportunity: JR Automation, a Hitachi ... Perform robotic reach & cycle time studies. * Perform system throughput studies. * Work with the ...

Hitachi

Simulation Engineer

Holland, MI · On-site +1

Engineering & Science Job Schedule: Full time Remote: No The Opportunity: JR Automation, a Hitachi ... Perform robotic reach & cycle time studies. * Perform system throughput studies. * Work with the ...

Hitachi

Simulation Engineer

Holland, MI · On-site +1

Engineering & Science Job Schedule: Full time Remote: No The Opportunity: JR Automation, a Hitachi ... Perform robotic reach & cycle time studies. * Perform system throughput studies. * Work with the ...

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How much do remote robotics engineer jobs pay per year?

As of Jun 7, 2026, the average yearly pay for remote robotics engineer in Michigan is $92,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,800.00 and $110,700.00 per year, depending on experience, location, and employer.

What is a Remote Robotics Engineer job?

A Remote Robotics Engineer designs, develops, and tests robotic systems while working from a remote location. They use simulation tools, software, and cloud-based platforms to build and program robots for various industries, such as manufacturing, healthcare, and automation. Communication and collaboration with teams are typically done through video calls, online project management tools, and remote coding environments. This role requires expertise in robotics software, hardware integration, and control systems, alongside strong problem-solving skills.

What are the key skills and qualifications needed to thrive in the Remote Robotics Engineer position, and why are they important?

To thrive as a Remote Robotics Engineer, you need a strong background in robotics engineering, programming (such as Python or C++), and experience with embedded systems, supported by a relevant degree in engineering or computer science. Familiarity with industry tools like ROS (Robot Operating System), simulation software (Gazebo or MATLAB), and version control systems (Git) is commonly required, along with relevant certifications. Strong problem-solving skills, self-motivation, effective communication, and the ability to work independently are highly valued in remote settings. These abilities ensure the successful design, testing, and deployment of robotics solutions while collaborating virtually with interdisciplinary teams.

What are some typical challenges a Remote Robotics Engineer might face, and how are they addressed?

Remote Robotics Engineers often encounter challenges related to hardware access, coordination with on-site teams, and troubleshooting physical systems from a distance. To address these issues, engineers frequently utilize remote desktop tools, simulation platforms, and detailed documentation to diagnose and resolve problems without being physically present. Regular video meetings, thorough written communication, and close collaboration with on-site personnel help bridge the gap between remote and in-person work. Proactively coordinating schedules for hands-on testing and leveraging cloud-based development environments can also improve project efficiency and outcomes.

What are the most commonly searched types of Robotics Engineer jobs in Michigan? The most popular types of Robotics Engineer jobs in Michigan are:
What are popular job titles related to Remote Robotics Engineer jobs in Michigan? For Remote Robotics Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Robotics Engineer jobs in Michigan look for? The top searched job categories for Remote Robotics Engineer jobs in Michigan are:
What cities in Michigan are hiring for Remote Robotics Engineer jobs? Cities in Michigan with the most Remote Robotics Engineer job openings:
Remote Robotics Engineer jobs near you
Infographic showing various Remote Robotics Engineer job openings in Michigan as of May 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $92,045 per year, or $44.3 per hour.
Senior, ML Engineer - Auto Tagger

Senior, ML Engineer - Auto Tagger

Torc Robotics

Ann Arbor, MI • On-site, Remote

$102K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 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:
  • Scenario Mining at Scale: Architect and optimize distributed data pipelines to process massive multi-sensor logs (camera, LiDAR, radar, kinematics), automatically extracting and cataloging safety-critical and long-tail driving events.
  • Advanced Event Tagging: Develop and tune both heuristic-based and ML-assisted algorithms (including exploring Vision-Language Models or semantic vector search) to automatically classify and describe complex environmental and behavioral scenarios.
  • Standardized Data Structuring: Extract and format scenario data utilizing the Pegasus layer standard (alongside opensource frameworks) to ensure semantic consistency and rigorous metadata integrity.
  • Data Flywheel Integration: Manage the ingestion of tagged events into the observations database, enabling high-speed querying and retrieval for ML training, regression testing, and system validation.
  • Cross-Functional Alignment: Operate with broad autonomy to drive consensus across organizational boundaries. Collaborate closely with downstream consumers in perception, simulation, and systems engineering to define what constitutes an "interesting scenario" and operationalize a continuous data loop.
  • Mentorship & Team Growth: Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding standards, and foster a culture of technical excellence and collaborative problem-solving.

What You'll Need to Succeed:
  • BS or MS in Computer Science, Robotics, Engineering, or a STEM field, with 6+ years in data engineering, ML systems, or autonomous data curation.
  • Core Languages: Strong Python and SQL skills, with heavy experience processing massive time-series or unstructured datasets.
  • ML & Dataset Curation: Hands-on machine learning and dataset curation experience, with a demonstrated history of implementing targeted datasets that measurably improve downstream model performance.
  • Data Exploration: Hands-on experience using Databricks (or similar platforms) for large-scale analytics, interactive querying, and making massive vehicle datasets searchable.
  • Cloud & Compute: Expertise in distributed compute frameworks (Ray, Spark, Beam) and cloud platforms (AWS, GCP, or Azure) for executing heavy data workloads.
  • AV Standards: Experience parsing complex data formats and applying scenario-description standards like Pegasus layers.
  • Communication: Exceptional ability to translate complex data engineering challenges into clear strategies for cross-functional stakeholders.
  • Technical Leadership: Proven track record of mentoring teams, driving system architecture, and defining engineering roadmaps.

Bonus Points!
  • Auto-labeling & VLMs: Familiarity with foundational models, auto-labeling pipelines, or zero-shot classification for scenario extraction.
  • Model Serving: Experience with vLLM, SGLang, or similar frameworks for highly optimized, high-throughput model serving and inference
  • Semantic Inference: Experience with semantic extraction and attribute mapping to help build out a robust semantic inference engine, moving beyond standard bounding-box object detection.
  • Data Tooling: Familiarity with parsing robotics formats (ROS bags, MCAP) and optimizing high-performance columnar storage formats (Parquet, Arrow).
  • Downstream Integration: Knowledge of how scenario data feeds into generative simulation workflows, neural rendering, or sensor fusion validation.
  • Advanced Retrieval: Experience building semantic retrieval systems or vector databases for automotive data.

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-102717
Hiring Range for Job Opening
US Pay Range
$177,300-$212,800 USD

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