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How much do localization recruitment jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for localization recruitment in the United States is $46.24, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $50.72 per hour, depending on experience, location, and employer.

What is the difference between Localization Recruitment vs Localization Specialist?

AspectLocalization Recruitment
Primary FocusHiring and sourcing localization professionals
Work EnvironmentRecruitment agencies, HR departments, talent acquisition teams
Required CredentialsRecruitment experience, understanding of localization industry
Common UsageJob boards, recruitment websites, HR discussions

Localization Recruitment involves sourcing and hiring localization professionals, focusing on talent acquisition processes. In contrast, a Localization Specialist is responsible for executing localization tasks within projects. While the recruiter seeks suitable candidates, the specialist applies localization skills in their role. Both roles are integral to the localization industry but serve different functions.

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Localization Recruitment jobs near you
Infographic showing various Localization Recruitment job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 2% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $96,184 per year, or $46.2 per hour.

Senior Software Engineer, Mapping & Localization

PlusAI

Santa Clara, CA • On-site

$150K - $200K/yr

Full-time

Re-posted yesterday

Job description

We are seeking a highly skilled and motivated Senior Software Engineer to join our Mapping & Localization team. In this role, you will be responsible for enhancing both the online and offline components of our mapping infrastructure, including online map interface, map version control, tile-based LiDAR map generation, and large-scale map management. You will play a critical role in supporting runtime map queries for key modules such as perception, localization, prediction, and planning.
Responsibilities:
  • Design and optimize scalable interfaces for online lane and map representation.
  • Improve cross-module map interfaces to support perception, prediction, and planning pipelines.
  • Develop and enhance systems for large-scale map deployment, including offline map generation, version control, and online tile-based LiDAR map loading.
  • Maintain and evolve the mapping watchdog and event mining systems to monitor system health and anomalies.
  • Enhance the mapping CI system to support robust development and deployment workflows.
  • Optimize performance of offline 3D reconstruction pipelines.
  • Collaborate closely with cross-functional teams to understand system-wide dependencies and performance needs across perception, planning, control, simulation, and infrastructure.
  • Work with the operations team to define requirements for data collection, preprocessing, labeling, and validation.
  • Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
  • Ensure team compliance with QMS, monitor quality, and drive process improvements.

Required Skills:
  • BS or MS in Computer Science, Computer Engineering, or a related technical field.
  • 3+ years of experience in developing large-scale, real-time C++ systems.
  • Strong proficiency in modern C++ and understanding of multi-threading, multiprocessing, and operating systems, e.g. ROS.
  • Solid foundation in data structures, algorithms, and software design principles.
  • Familiarity with large-scale map data pipelines and distributed systems.
  • Familiarity with CI/CD systems, and maintaining production-grade infrastructure.
  • Excellent written and verbal communication skills.
  • Self-motivated, comfortable operating without direct supervision.

Preferred Skills:
  • Hands-on experience with mapping and localization algorithms, such as LiDAR/Visual Odometry, SLAM, or Kalman filtering.
  • Experience working on offline 3D reconstruction systems.

$150,000 - $200,000 a year
Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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