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Remote Electrical Engineer Robotics Jobs in Detroit, MI

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Bachelor's Degree in Computer Science, Robotics, Electrical Engineering, or related technical field plus competences typically acquired through 6+ years of experience; OR Master's Degree in a related ...

Lenze Americas Corporation

Application Engineer

Detroit, MI · On-site +1

$85K - $130K/yr

Remote in the Detroit, Michigan area On-Target Compensation: $85,000 - $130,000 ( Compensation is ... Bachelor's degree in electrical, Mechatronics, Robotics, or Mechanical Engineering or relevant ...

WSP

Intermediate Substation Design Engineer

Ann Arbor, MI · On-site +1

$97K - $124K/yr

This position offers an onsite, hybrid, or remote work arrangement, depending on candidate location ... Perform professional electrical engineering work relating to the design of substation physical ...

Hitachi

Simulation Engineer

Lake Orion, 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

Lake Orion, 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

Lake Orion, 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 ...

Commerce Controls, Inc.

Project Engineer

Novi, MI · On-site +1

This position can be remote and or office within the Cleveland area. Requirements Equipment Design ... Work Divisions / Specifications / Mechanical & Electrical Diagrams, Control Narratives / Written ...

ABB

Protection and Control Engineer

MI · Remote

While this is a full remote position, there is preference for candidates located in the Northern ... Bachelors Degree in Electrical Engineering required. Masters Degree Preferred. * 5+ years of ...

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All JobsElectrical Engineer Robotics JobsRemote Electrical Engineer Robotics JobsRemote Electrical Engineer Robotics Jobs in Detroit, MI

Remote Electrical Engineer Robotics information

See Detroit, MI salary details

$50K

$110K

$166.3K

How much do remote electrical engineer robotics jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote electrical engineer robotics in Detroit, MI is $109,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,200.00 and $130,700.00 per year, depending on experience, location, and employer.

What does a remote electrical engineer robotics do?

A Remote Electrical Engineer in Robotics is responsible for designing, developing, and testing electrical systems and components used in robotic devices. They work with a team to create circuit layouts, select appropriate sensors and actuators, and ensure the integration of electrical systems with mechanical and software components. Working remotely, they collaborate through digital tools, troubleshoot issues, and support the deployment of robotic systems in various industries. Their work is crucial for ensuring the reliability, safety, and efficiency of robots.

How do remote electrical engineers robotics typically collaborate with multidisciplinary teams while working off-site?

Remote Electrical Engineers in Robotics often collaborate with software developers, mechanical engineers, and project managers using digital tools like CAD platforms, version control systems, and video conferencing. Regular virtual meetings, shared documentation, and cloud-based project management ensure alignment on design specifications and integration challenges. While remote work provides flexibility, it requires strong communication skills and proactive updates to keep complex projects on track. Building relationships with cross-functional teams is key to overcoming challenges such as time zone differences and remote troubleshooting.

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

To thrive as a Remote Electrical Engineer in Robotics, you need expertise in circuit design, embedded systems, and robotics engineering, usually supported by a bachelor's or master's degree in electrical engineering or a related field. Familiarity with CAD software, PCB design tools (like Altium or Eagle), programming languages (such as C/C++ or Python), and industry-standard certifications (like Professional Engineer licensure) is commonly required. Strong problem-solving skills, effective communication, and self-motivation are crucial soft skills for collaborating remotely and driving innovation. These skills ensure efficient design, troubleshooting, and integration of robotic systems while enabling productive teamwork across distributed teams.

What is the difference between Remote Electrical Engineer Robotics vs Remote Electrical Engineer Automation?

AspectRemote Electrical Engineer RoboticsRemote Electrical Engineer Automation
Required CredentialsBachelor's in Electrical Engineering, Robotics certificationsBachelor's in Electrical Engineering, Control Systems certifications
Work EnvironmentDesigning and testing robotic systems, software integrationDeveloping automated systems, control panel design
Industry UsageRobotics manufacturing, research labsIndustrial automation, process control

Remote Electrical Engineer Robotics and Remote Electrical Engineer Automation share similar credentials and work environments but focus on different applications. Robotics emphasizes designing and testing robotic systems, while automation centers on control systems for industrial processes. Both roles are vital in modern engineering sectors and often overlap in skills and tools.

What are popular job titles related to Remote Electrical Engineer Robotics jobs in Detroit, MI?

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

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

The top searched job categories for Remote Electrical Engineer Robotics jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Remote Electrical Engineer Robotics jobs?

Cities near Detroit, MI with the most Remote Electrical Engineer Robotics job openings:

Remote Electrical Engineer Robotics jobs near you
Infographic showing various Remote Electrical Engineer Robotics job openings in Detroit, MI as of June 2026, with employment types broken down into 88% Full Time, 9% Part Time, 2% Contract, and 1% Nights. Highlights an 52% Physical, 3% Hybrid, and 45% Remote job distribution, with an average salary of $109,976 per year, or $52.9 per hour.

Senior, ML Engineer - VLM

Torc Robotics

Ann Arbor, MI • On-site, Remote

$102K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 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
Torc is marching toward its AV 3.0 strategy, where end-to-end Vision-Language-Action (VLA) models perceive, reason, and act directly from sensor data. High-quality, semantically rich training data is the single biggest lever for that strategy, and this team owns it.
Sitting within Offline Perception, this team turns petabytes of logged multi-modal fleet data (images, kinematics) into VLM/VLA-ready datasets: geometric annotations, scenario-level semantic descriptions, action- and trajectory-grounded labels, and reasoning traces that explain why a maneuver was taken. We run a continuous data flywheel - mine long-tail and failure cases, auto-label at scale, validate quality, and feed curated datasets directly into Torc's end-to-end VLM/VLA model development. You will own the dataset layer that those models learn from.
What You'll Do
  • Own the offline dataset pipeline - design, implement, test, and deploy Cloud-based pipelines that convert logged multi-sensor data into VLM/VLA training datasets, spanning geometric labels (3D/2D detection, tracking, segmentation, depth) through semantic, scenario-level, and action/trajectory-grounded annotations.
  • Build VLM-assisted auto-labeling - develop open-vocabulary detection, dense captioning, semantic enrichment, and scene/scenario description generation that move beyond closed-set bounding boxes, using foundation models to scale annotation and cut manual labeling cost.
  • Generate reasoning-grounded labels - produce language-grounded reasoning and chain-of-causation style annotations, temporally aligned to ego-motion and trajectories, to support VLA training and explainable driving behavior.
  • Mine and curate the long tail - surface rare, difficult, and high-uncertainty scenarios, and build curated datasets that measurably improve downstream VLM/VLA model metrics rather than simply adding volume.
  • Close the data flywheel - define dataset schemas, quality metrics, and validation; track auto-labeling quality against model requirements; route model failures back into re-labeling and retraining loops.
  • Partner with the end-to-end model team - co-define dataset specifications with VLM/VLA model developers, own the quality bar and delivery cadence, and operationalize a continuous dataset delivery loop into their training pipelines.
  • Scale on cloud infrastructure - build distributed, reproducible pipelines using columnar data formats and distributed compute, with disciplined software practices, version control, and documentation.
  • Lead and mentor - serve as project lead, guide less-experienced engineers, run design reviews, set coding and annotation standards, and drive alignment across team interfaces to the rest of the organization.
  • Stay current - track the latest advances in multimodal models, auto-labeling, and end-to-end autonomous driving, and translate relevant research into production data systems.

What You'll Need to Succeed:
  • Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.
  • Scope of Influence: Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains, and owns team technical solutions and drives consensus. Mentors and guides engineers within the group.
  • Bachelor's Degree in Computer Science, Robotics, Electrical Engineering, or related technical field plus competences typically acquired through 6+ years of experience; OR Master's Degree in a related technical field plus competences typically acquired through 3+ years of experience.

Required Qualifications (some combination of the following skills):
  • Computer Vision & Deep Learning - model training and at least two of: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, BEV, Depth Estimation.
  • Multimodal / VLM experience - hands-on work with vision-language models, open-vocabulary or zero-shot recognition, dense captioning, or semantic embeddings / search applied to perception data.
  • Model Data Curation - building targeted datasets that measurably improve downstream model performance; large-scale Parquet data processing (Databricks, Daft, Pandas, etc.).
  • Distributed ML & data frameworks - PyTorch, Lightning, Ray, Spark, or equivalent for training and large-scale data processing.
  • Scaled MLOps & Tooling - experiment tracking, model registry, MLflow / Weights & Biases, and ML metrics, evaluation, and quality.
  • Development Tools & Eco-System (at scale) - strong Python software development, VDI and cloud-based development environments, CI systems (GitHub Actions), and Docker.

Bonus Points!
  • End-to-end / VLA driving - familiarity with VLM/VLA or end-to-end driving models, trajectory and action grounding, or chain-of-causation / reasoning-trace datasets.
  • Auto-labeling foundation models - experience with segmentation, open-vocabulary detectors, or VLM/LLM-driven data engines for annotation and verification.
  • High-throughput model serving - vLLM, SGLang, or similar for batch auto-labeling and inference at scale.
  • Semantic inference & retrieval - attribute mapping, semantic search, and vector databases (e.g., LanceDB) for automotive data.
  • AV data standards & tooling - scenario-description standards such as Pegasus layers; parsing robotics formats (ROS bags, MCAP) and optimizing columnar storage (Parquet, Arrow).
  • Cloud development & orchestration - Terraform and AWS managed services (S3, ECS, Lambda, DynamoDB, Step Functions, Athena); AWS HyperPod / Anyscale; inference orchestration.
  • Data visualization - Foxglove, FiftyOne (51), three.js, OpenGL, or similar for dataset inspection and accessibility.
  • Evaluation & research - closed-loop / open-loop evaluation frameworks (e.g., NavSim-style planning metrics); publications in top-tier CV/AI/Robotics venues (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, CoRL).

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 match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • Company-wide holiday office closures
  • AD+D and Life Insurance

Additional Information
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-102744
Hiring Range for Job Opening
US Pay Range
$177,300-$212,800 USD

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