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Remote Robotics Engineer Localization Jobs in Detroit, MI

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 ...

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 ...

EMAG LLC

Technical Sales Engineer

Farmington, MI · Remote

... remote meetings. * Communicate effectively with Sales, Engineering, and Operations to clarify ... PECM, laser processing, robotics, and automation. * Interpret engineering drawings and ...

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All JobsRobotics Engineer Localization JobsRemote Robotics Engineer Localization JobsRemote Robotics Engineer Localization Jobs in Detroit, MI

Remote Robotics Engineer Localization information

See Detroit, MI salary details

$28.7K

$104.5K

$167.3K

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

As of Jul 24, 2026, the average yearly pay for remote robotics engineer localization in Detroit, MI is $104,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,700.00 and $125,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Robotics Engineer specializing in Localization, and why are they important?

To excel as a Remote Robotics Engineer in Localization, you need a solid background in robotics, computer science, and mathematics, often supported by a relevant degree and experience in localization algorithms. Proficiency with tools like ROS (Robot Operating System), SLAM (Simultaneous Localization and Mapping) frameworks, and simulation environments such as Gazebo is typically required. Strong problem-solving, communication, and self-management skills are essential for collaborating effectively across distributed teams. These competencies ensure accurate robot navigation, successful project execution, and seamless remote teamwork in this technically demanding field.

What are Remote Robotics Engineer Localization jobs?

Remote Robotics Engineer Localization jobs involve developing and implementing algorithms and systems that enable robots to determine their position and orientation within an environment, all while working remotely. These engineers typically work on projects related to autonomous vehicles, drones, or industrial robots, focusing on technologies such as SLAM (Simultaneous Localization and Mapping), GPS, and sensor fusion. Their responsibilities can include software development, simulation, data analysis, and integration of localization solutions into robotic platforms. The remote aspect allows these professionals to collaborate with teams and deploy code from anywhere, often using virtual environments and remote access to robotic systems.

What is the difference between Remote Robotics Engineer Localization vs Remote Robotics Technician?

AspectRemote Robotics Engineer LocalizationRemote Robotics Technician
CredentialsBachelor's or higher in Robotics, Engineering, or related fields; certifications like ROS or embedded systemsTechnical diploma or associate degree; certifications in robotics or automation
Work EnvironmentDesign, development, and testing of robotic systems remotely; collaboration with engineering teamsMaintenance, troubleshooting, and installation of robotic systems remotely or on-site
Industry UsageUsed in robotics development companies, research labs, and manufacturingCommon in manufacturing plants, automation services, and technical support

Remote Robotics Engineer Localization focuses on designing and developing robotic systems remotely, requiring advanced engineering skills. In contrast, Remote Robotics Technician handles installation, maintenance, and troubleshooting, often with more hands-on tasks. Both roles are essential in the robotics industry but differ in responsibilities and required expertise.

How does a Remote Robotics Engineer specializing in Localization typically collaborate with cross-functional teams to ensure accurate robot navigation?

As a Remote Robotics Engineer focused on localization, you’ll frequently collaborate with software developers, hardware engineers, and data scientists to integrate and refine localization algorithms. Communication often involves regular virtual meetings, code reviews, and collaborative troubleshooting sessions to align system updates and deployment strategies. You’ll also work closely with QA teams to validate performance in diverse environments and may contribute to documentation to facilitate seamless integration across the robotics platform. This cross-functional teamwork is essential to ensure that robots can accurately determine their position and navigate reliably in real-world scenarios.
What are the most commonly searched types of Robotics Engineer Localization jobs in Detroit, MI? The most popular types of Robotics Engineer Localization jobs in Detroit, MI are:
What are popular job titles related to Remote Robotics Engineer Localization jobs in Detroit, MI? For Remote Robotics Engineer Localization jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Remote Robotics Engineer Localization jobs in Detroit, MI look for? The top searched job categories for Remote Robotics Engineer Localization jobs in Detroit, MI are:
Remote Robotics Engineer Localization jobs near you
Infographic showing various Remote Robotics Engineer Localization job openings in Detroit, MI as of June 2026, with employment types broken down into 68% Full Time, and 32% Part Time. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $104,545 per year, or $50.3 per hour.
Senior, Machine Learning Engineer - 3D Perception

Senior, Machine Learning Engineer - 3D Perception

Torc Robotics

Ann Arbor, MI • On-site, Remote

$102K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 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's Multi-Modal Perception team is responsible for developing the machine learning systems that enable our autonomous trucks to perceive and understand the world around them. By combining information from cameras, LiDAR, and other sensor modalities, the team builds production-ready perception capabilities that provide the foundation for safe, reliable autonomous driving.
As a Senior Machine Learning Engineer - 3D Perception, you'll join a collaborative team of machine learning engineers and researchers focused on solving complex real-world perception challenges. This role is primarily focused on advancing our Bird's Eye View (BEV) perception capabilities, developing production machine learning solutions that improve environmental understanding, model robustness, and system performance across Torc's autonomy stack.
What You'll Do
  • Design, develop, and deploy production machine learning models supporting Torc's perception systems.
  • Own end-to-end model development for scoped perception problem areas, from data preparation and training through evaluation and deployment.
  • Write production-quality ML code to support scalable training, evaluation, and inference workflows.
  • Analyze model performance, identify failure modes, and iterate to improve robustness, accuracy, and generalization across diverse driving environments.
  • Develop and optimize perception models leveraging multi-modal sensor data, with an emphasis on camera-based and 3D perception systems.
  • Collaborate with software engineers, infrastructure teams, and autonomy engineers to integrate perception models into production autonomy software.
  • Support improvements to training pipelines, data workflows, and tooling that accelerate model iteration and deployment.
  • Contribute to model architecture discussions and technical decision-making within the team.
  • Mentor junior engineers on implementation, experimentation, and machine learning best practices.

What You'll Need to Succeed
  • Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 6+ years of industry experience, OR Master's degree with 3+ years, OR Ph.D. with 1+ years of experience.
  • Experience developing production machine learning models for computer vision, perception, robotics, or autonomous systems.
  • Strong programming skills in Python and PyTorch, with experience writing production-quality ML code.
  • Experience training, evaluating, and improving deep learning models using large-scale datasets.
  • Experience working with image-based and/or 3D perception systems.
  • Strong understanding of deep learning architectures commonly used for perception applications.
  • Experience debugging model behavior, analyzing performance metrics, and improving model reliability.
  • Ability to translate ambiguous perception challenges into practical machine learning solutions and deliver results independently.
  • Experience collaborating cross-functionally to integrate ML models into larger software systems.

Bonus Points
  • Experience developing perception systems for autonomous driving or robotics.
  • Experience with LiDAR, point cloud processing, sensor fusion, or other 3D perception techniques.
  • Experience with temporal perception models or video-based learning.
  • Experience with C++, ROS, or robotics software development.
  • Experience deploying machine learning models into production autonomy or robotics platforms.
  • Experience working with large-scale perception datasets and distributed training environments.
  • Familiarity with perception evaluation frameworks, model validation, and performance benchmarking.
  • Experience improving ML tooling, infrastructure, or developer workflows to accelerate model iteration.

Work Location: For this position, we are open to hiring in Ann Arbor, MI, Blacksburg, VA, Fort Worth, TX 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: 102824
Hiring Range for Job Opening
US Pay Range
$177,300-$212,800 USD

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