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Localization Engineer Jobs in Michigan (NOW HIRING)

Work cross-functionally with software, hardware, and systems engineers to integrate localization algorithms into larger systems. Contribute to code reviews, knowledge sharing, and team brainstorming ...

Lead Autonomy Engineer - Behavior/ML

Ann Arbor, MI · On-site

$100.30K - $132.10K/yr

... or localization * Awareness of the state of the art in the field, and be able to translate novel ... Strong programming skills in C/C++ * Expertise with software development in a Linux environment

ADAS Algorithm Integration Engineer (IC Role) Why join Aptiv? You'll have the opportunity to work ... Integrate perception, fusion, localization, and planning algorithms into automotive ADAS platforms.

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Localization Engineer information

See Michigan salary details

$51.9K

$97.3K

$176.9K

How much do localization engineer jobs pay per year?

As of May 31, 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 in the Localization Engineer position, and why are they important?

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.

What are the typical daily responsibilities of a Localization Engineer?

As a Localization Engineer, your daily tasks often include analyzing and preparing files for translation, maintaining localization workflows, troubleshooting technical issues related to software internationalization, and collaborating with translators, developers, and project managers. You may also be responsible for automating processes to improve efficiency and ensuring that localized products meet quality standards in various languages. Regular communication with cross-functional teams is crucial to resolve technical challenges and align on project goals. This role is both technical and collaborative, offering variety and requiring continual learning as new tools and platforms emerge.
What are popular job titles related to Localization Engineer jobs in Michigan? For Localization Engineer jobs in Michigan, the most frequently searched job titles are:
Localization Algorithm Engineer

Localization Algorithm Engineer

OtterBase

Detroit, MI • On-site

Other

Posted yesterday


Job description

Job Description Description: This role focuses on developing and optimizing localization algorithms using probabilistic methods and multi-sensor fusion to improve positioning accuracy. You will prototype, simulate, and refine solutions into production-ready code while collaborating across software, hardware, and systems teams in a fast-paced R&D environment. Responsibilities/skills: Develop and refine PC-based localization algorithms using particle filters and other probabilistic techniques.

Implement sensor fusion strategies that integrate data from IMUs, wireless signals, and other external sources to enhance position accuracy. Design simulations to test and validate your algorithms under diverse real-world conditions (e.g., multipath, noise, varying environments). Leverage Python, C++, C#, or MATLAB to prototype and optimize algorithms before porting them to production software

Conduct thorough performance evaluations of localization algorithms, identifying bottlenecks and implementing data-driven optimizations. Collaborate with embedded, FPGA, and RF teams to improve the performance of the location tracking system. Stay current with the latest academic and industry research in probabilistic localization, sensor fusion, and state estimation.

Rapidly prototype novel concepts, iterating on algorithm design to reach production-level stability and robustness. Work cross-functionally with software, hardware, and systems engineers to integrate localization algorithms into larger systems. Contribute to code reviews, knowledge sharing, and team brainstorming sessions to maintain a high level of technical excellence.

Qualifications: Solid background in state estimation, probability theory, and advanced filtering techniques (particle filters, Kalman filters, etc.). Proficiency in at least one programming language (Python, C#, C++, MATLAB) used for developing and evaluating algorithms in a PC-based environment. Solid understanding of DSP algorithms and IQ radio processing

Experience translating theoretical models into efficient, production-ready code, with an emphasis on real-time or near-real-time performance. Familiarity with sensor data processing (IMU, etc.) and a keen interest in multi-sensor fusion methods. Adept at using data analytics and simulations to diagnose issues, validate assumptions, and refine algorithmic approaches

Passionate about exploring new ideas, adapting cutting-edge research, and creatively applying them to solve challenging localization problems. Enjoys working as part of a multi-disciplinary R&D team, bridging gaps between software, hardware, and system-level designs. Thrives on tackling open-ended challenges, taking ownership of tasks, and seeking continuous learning opportunities.