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Remote Robotics Engineer Localization Jobs in Detroit, MI

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 ...

Cavnue

Senior Software Engineer - Core

Detroit, MI · Remote

$121K - $159K/yr

This is a fully remote, hands-on individual contributor role with meaningful ownership across core ... Domain experience in transportation, robotics, autonomous vehicles, or sensor-heavy systems.

Formic

Automation Sales Manager

Detroit, MI · Remote

We deliver automation through a Robotics-as-a-Service model that combines industrial robotics ... The team partners closely with Engineering, Solutions, and Customer teams to educate manufacturers ...

Productive Playhouse

Polish AI Product Tester

Troy, MI · On-site +1

$250/day

Polish AI Product Tester Location: 100% Remote, located in the U.S. Device: Applicants must use a ... programming. This early success paved the way for our evolution into a comprehensive data services ...

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All 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 2, 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.
Manager, Engineering - App Engine (CUDA)

Manager, Engineering - App Engine (CUDA)

Torc Robotics

Ann Arbor, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 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 Application Engine team builds the middleware platform that powers the next generation of Torc's Level 4 autonomous trucking stack. Our mission is to provide a robust, efficient, and flexible environment for integrating and managing diverse deep learning models and processes. We enable scalable development workflows, consistent performance, and safety-compliant deployments across real-world and simulated environments. By owning the core application layer, the App Engine team provides the scaffolding that allows feature teams to efficiently develop, integrate, and deploy advanced autonomous driving capabilities. We partner closely with Perception, Planning, Systems, Validation, Hardware, and Safety to ensure reliability, determinism, and scalability in production.
About the Role
We are seeking a technically strong and people-focused Engineering Manager to lead our App Engine team. While this is not a hands-on coding role, deep technical expertise in GPU parallel computing, CUDA, and model deployment is essential. You will drive technical direction, prioritize execution, and grow a high-performing team responsible for building production-grade middleware. This role sits at the intersection of software engineering, ML frameworks, GPU optimization, and safety-critical integration. Success requires both the ability to lead and coach engineers, and the technical depth to guide design decisions and challenge assumptions.
What You'll Do
  • Lead and grow a team building the application framework that integrates deep learning models into Torc's autonomy stack.
  • Drive technical execution across key focus areas: CUDA optimization, GPU resource management, model conversion pipelines (PyTorch, TensorRT, ONNX), and real-time system integration.
  • Ensure reliability, determinism, and scalability across multi-sensor autonomous driving workloads.
  • Partner with cross-functional teams (Perception, Planning, Systems, Validation, Hardware, Safety) to align technical direction and integration priorities.
  • Mentor, coach, and develop engineers while cultivating a collaborative, high-trust team culture.
  • Manage execution and delivery, balancing near-term goals with long-term architectural vision.
  • Establish scalable processes for development, testing, and integration in a safety-critical environment.

What You'll Need to Succeed
  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Robotics, or a related technical field.
  • 3+ years of full-cycle people management experience.
  • Deep technical expertise with CUDA, GPU parallel computing, and inference optimization.
  • Strong proficiency in C++ and Linux-based development with knowledge of real-time systems.
  • Experience with ML frameworks (PyTorch, TensorRT, ONNX) and model deployment pipelines.
  • Proven leadership managing software engineering teams in complex, cross-functional environments.
  • Strong understanding of system-level integration and safety-critical requirements.
  • Ability to thrive in a fast-paced, dynamic, and highly collaborative environment.

Bonus Points
  • Hands-on leadership style - comfortable diving into technical discussions and design reviews.
  • Experience building or managing application/middleware frameworks for production AV or ADAS systems.
  • Familiarity with ISO 26262, ASPICE, or other regulated safety standards.
  • Background in distributed systems, high-performance computing, or large-scale data recording pipelines.

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: 102810
Hiring Range for Job Opening
US Pay Range
$160,800-$193,000 USD

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