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Manager Robotics Engineer Localization Jobs in Farmington, MI

Embedded Systems Architect

Troy, MI · On-site

$164K/yr

... ready robotics and autonomous systems. Working closely with autonomy, localization, safety ... Engineering (MBSE). * Experience with requirements management tools such as Polarion, DOORS, or ...

This role works closely with mechanical engineers, controls engineers, application engineers, project managers, and customers to ensure robotic cells operate safely, efficiently, and meet production ...

This role works closely with mechanical engineers, controls engineers, application engineers, project managers, and customers to ensure robotic cells operate safely, efficiently, and meet production ...

This role works closely with mechanical engineers, controls engineers, application engineers, project managers, and customers to ensure robotic cells operate safely, efficiently, and meet production ...

This role works closely with mechanical engineers, controls engineers, application engineers, project managers, and customers to ensure robotic cells operate safely, efficiently, and meet production ...

This role works closely with mechanical engineers, controls engineers, application engineers, project managers, and customers to ensure robotic cells operate safely, efficiently, and meet production ...

This role works closely with mechanical engineers, controls engineers, application engineers, project managers, and customers to ensure robotic cells operate safely, efficiently, and meet production ...

... Localization, Planning/Prediction or Control modules. Focuses on a single module to progressively ... Fundamentals of autonomous driving, robotics, signal processing, and data science * Academic ...

Showing results 41-60

Manager Robotics Engineer Localization information

See Farmington, MI salary details

$28.5K

$103.9K

$166.3K

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

As of Sep 11, 2026, the average yearly pay for manager robotics engineer localization in Farmington, MI is $103,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,200.00 and $125,000.00 per year, depending on experience, location, and employer.

What does a manager robotics engineer localization do?

A Manager Robotics Engineer Localization leads teams that develop and refine the technology enabling robots to determine their precise position and orientation in various environments. This role involves overseeing projects focused on algorithms and systems for mapping, navigation, and sensor fusion. The manager collaborates with engineers and cross-functional teams to ensure robust and efficient localization solutions for robotic applications, such as autonomous vehicles or warehouse automation. Responsibilities also include mentoring staff, setting technical direction, and ensuring projects meet performance and safety standards.

What are the key skills and qualifications needed to thrive as a manager robotics engineer localization?

To thrive as a Manager Robotics Engineer Localization, you need expertise in robotics, localization algorithms (such as SLAM), and a relevant engineering degree, often paired with experience in project or team management. Familiarity with ROS (Robot Operating System), C++/Python programming, and simulation tools like Gazebo, as well as certifications in robotics or project management, are commonly required. Strong leadership, effective communication, and problem-solving abilities help you lead teams and coordinate complex, multidisciplinary projects. These skills ensure the successful development and deployment of accurate localization solutions in robotics systems, driving innovation and team performance.

What are some common challenges faced by a manager robotics engineer localization, and how can they be addressed?

Managers in robotics engineering localization often encounter challenges such as integrating localization algorithms with real-world sensor data, ensuring robust performance in diverse environments, and managing cross-functional teams with varied expertise. Addressing these challenges requires strong communication skills, proactive problem-solving, and fostering close collaboration between software developers, hardware engineers, and research scientists. Regular team meetings, continuous testing in different scenarios, and investing in professional development can help ensure successful project outcomes and innovation in localization solutions.

What is the difference between Manager Robotics Engineer Localization vs Robotics Engineer Localization?

AspectManager Robotics Engineer LocalizationRobotics Engineer Localization
CredentialsBachelor's/Master's in Robotics, Engineering, or related; leadership experienceBachelor's/Master's in Robotics, Mechanical, Electrical Engineering
Work EnvironmentTeam leadership, project management, strategic planningDesign, development, testing of localization systems
Employer & Industry UsageRobotics companies, tech firms, manufacturingRobotics development, research labs, automation firms

The Manager Robotics Engineer Localization oversees localization projects, manages teams, and aligns strategies with company goals. In contrast, the Robotics Engineer Localization focuses on technical development and implementation of localization systems. Both roles require engineering expertise, but the manager role emphasizes leadership and project oversight.

What cities near Farmington, MI are hiring for Manager Robotics Engineer Localization jobs?

Cities near Farmington, MI with the most Manager Robotics Engineer Localization job openings:

Autonomous Driving Vehicle Perception Engineer

Northville, MI • On-site

$80K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Key responsibilities

  • Design and implement advanced perception algorithms for autonomous vehicles using LiDAR, cameras, radar, and GNSS

  • Develop and optimize sensor fusion techniques to improve perception system accuracy and reliability

  • Create algorithms for object detection, tracking, semantic segmentation, and classification from 3D point clouds and camera data


Quest Global rating

7.8

Company rating: 7.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

What You will Do:

  • Design and implement advanced perception algorithms for autonomous vehicles using LiDAR, cameras, radar, and GNSS.
  • Develop and optimize sensor fusion techniques to combine data from multiple sensors, improving the accuracy and reliability of perception systems.
  • Create algorithms for object detection, tracking, semantic segmentation, and classification from 3D point clouds (LiDAR) and camera data.
  • Work on Simultaneous Localization and Mapping (SLAM) algorithms, including Graph SLAM, LIO-SAM, and visual-inertial SLAM.
  • Develop sensor calibration techniques (intrinsic and extrinsic) and coordinate transformations between sensors.
  • Participate in real-time systems design and optimization to meet the high-performance requirements of autonomous driving.
  • Work with ROS2 for integration and deployment of perception algorithms.
  • Develop, test, and deploy machine learning models for perception tasks such as object detection and segmentation.
  • Collaborate with cross-functional teams, including software engineers, data scientists, and hardware teams, to deliver end-to-end solutions.
  • Stay up-to-date with industry trends and emerging technologies to innovate and improve perception systems.

What You Will Bring:

  • Minimum 3+ years of experience in sensor calibration, multi-sensor fusion, or related domains.
  • Strong foundation in linear algebra, 3D geometry, coordinate frames, quaternions, probability, Bayesian filtering, and data association.
  • Hands-on experience with intrinsic and extrinsic calibration of LiDAR, cameras, and radar, including geometric calibration, coordinate transforms, and sensor synchronization.
  • Proven experience with perception algorithms for autonomous systems, particularly in the areas of LiDAR, camera, radar, GNSS, or other sensor modalities.
  • Deep understanding of LiDAR technology, point cloud data structures, and processing techniques; experience with PCL or Open3D.
  • Proficiency in sensor fusion for combining data from LiDAR, camera, radar, and GNSS, including handling time synchronization and motion distortion.
  • Solid background in computer vision techniques; experience with OpenCV and object detection models such as YOLO, Faster R-CNN, or SSD.
  • Experience with deep learning frameworks (TensorFlow or PyTorch) for object detection and segmentation tasks.
  • Hands-on experience with multi-object tracking algorithms such as SORT, DeepSORT, Kalman Filters, UKF, IMM, or JPDA.
  • Strong programming skills in C++ and Python; familiarity with geometric optimization libraries.
  • Familiarity with ROS2 for perception-based autonomous systems development.
  • Experience with parallel computing for real-time performance optimization (e.g., CUDA, OpenCL).

Company Description

Who We Are:
Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.
We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we’re eager to hear from you.

The achievers and courageous challenge-crushers we seek, have the following characteristics and skills:


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