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Localization Engineer Jobs in Michigan (NOW HIRING)

RAE Software Engineer

Dearborn, MI · On-site

$113K - $149K/yr

The engineer will work across the stack from vehicle interfaces and sensor inputs to rendering ... and localization data, vehicle state information, and sensor inputs such as LiDAR. * Translate ...

Support new program launches, supplier localization, resourcing projects, etc. * Practice ... Bachelor's degree in engineering(Mechanical, Industrial, or Electrical) preferred. * Self-motivated ...

Support new program launches, supplier localization, resourcing projects, etc. * Practice and ... Bachelor's degree in engineering (Mechanical, Industrial, or Electrical) preferred. * Self ...

Support new program launches, supplier localization, resourcing projects, etc. * Practice and ... Bachelor's degree in engineering (Mechanical, Industrial, or Electrical) preferred. * Self ...

Support new program launches, supplier localization, resourcing projects, etc. * Practice and ... Bachelor's degree in engineering (Mechanical, Industrial, or Electrical) preferred. * Self ...

Showing results 41-60

Localization Engineer information

See Michigan salary details

$51.9K

$97.3K

$176.9K

How much do localization engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for localization engineer in Michigan is $97,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $115,500.00 per year, depending on experience, location, and employer.

What does a localization engineer do?

A Localization Engineer is responsible for preparing, managing, and optimizing content for translation and localization. They work with tools like CAT (Computer-Assisted Translation) software, scripts, and automation to ensure content is accurately adapted for different languages and regions. Their role includes file preparation, bug fixing, integration of localized assets, and troubleshooting technical issues in the localization process. They collaborate with linguists, project managers, and developers to streamline workflows and ensure a smooth translation process.

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

To thrive as a Localization Engineer, you need a strong background in computer science, programming (such as Python, Java, or C++), and familiarity with globalization and localization processes. Experience with translation management systems (TMS), CAT tools, version control systems, and possibly certifications like SDL Trados or Agile methodologies is highly valued. Strong problem-solving, attention to detail, and cross-cultural communication skills help you excel when collaborating with global teams. These qualifications are critical for ensuring software and content are accurately adapted for diverse international markets while maintaining functionality and quality.

Is localization a good job?

A localization engineer designs and implements processes to adapt products for different languages and regions, often requiring skills in translation tools, programming, and cultural knowledge. It can be a rewarding career for those interested in language, technology, and global markets, with opportunities in software, gaming, and multimedia industries. Job stability and growth depend on industry demand and individual expertise.

What job categories do people searching Localization Engineer jobs in Michigan look for?

The top searched job categories for Localization Engineer jobs in Michigan are:

Infographic showing various Localization Engineer job openings in Michigan as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $97,298 per year, or $46.8 per hour.

Autonomous Driving Senior Vehicle Perception Engineer

Quest Global

Northville, MI • On-site

$95K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Quest Global rating

7.8

Company rating: 7.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

244th of 450 rated engineering


Job description

Job Requirements
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
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).

Pay Range: $95,000-$140,000 a year
Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.
Work Requirements: This role is considered an on-site position located in Northville, MI, USA
  • You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours.

Benefits
  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance
  • Employer paid Life Insurance, Short- & Long-Term Disability

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