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Localization Engineering Jobs in New York (NOW HIRING)

Partner with Data Science, Engineering, and content teams to deliver localization requirements across platform and AI initiatives * Own localization performance targets and success metrics across ...

Localization Business Analyst

New York, NY ยท Remote

$44.75 - $61.75/hr

Key Responsibilities Localization โ€ข Define business and functional requirements for multilingual ... with Education, Engineering, and Product teams on end to end ICAP capability definition.

The Role As a Frontend Engineer, you will build features that enable the platform to operate ... Implementing multi-language UI and localization frameworks * Supporting currency display and ...

Senior Software Engineer

Manhattan, NY ยท On-site

$134K - $177K/yr

Ensure accessibility and localization considerations are applied throughout development. * Work ... A BS/BA in Computer Science, Engineering, or equivalent functional experience. * Experience working ...

DevOps Engineer

New York, NY ยท On-site

$57.75 - $79/hr

Our technology-based end-to-end solution combines advanced localization capabilities, streamlined ... Collaborate with various engineering departments * Ability to build CI/CD solution best practice ...

DevOps Engineer

Manhattan, NY ยท On-site +1

$150K - $195K/yr

Our technology-based end-to-end solution combines advanced localization capabilities, streamlined ... Collaborate with various engineering departments * Ability to build CI/CD solution best practice ...

Sr. Android Developer

Englewood, NJ ยท On-site

$60.75 - $77.25/hr

Ensure code quality through test automation, peer reviews, and engineering best practices ... Familiarity with accessibility, localization, and device fragmentation best practices * Knowledge ...

... engineering, and internationalization and localization; * 3 Years of experience using HTML and CSS to implement and troubleshoot on-page SEO elements; * 3 Years of experience using analytics ...

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Showing results 1-20

Localization Engineering information

What are the key skills and qualifications needed to thrive as a Localization Engineer, and why are they important?

To thrive as a Localization Engineer, you need a strong background in computer science, software development, and an understanding of internationalization (i18n) principles, often supported by a relevant degree. Proficiency with localization tools (such as SDL Trados, memoQ, or XLIFF), programming languages (like Python, JavaScript, or C++), and version control systems is essential. Strong problem-solving skills, attention to detail, and effective communication enable you to collaborate across technical and non-technical teams. These skills ensure accurate adaptation of products for global markets, maintaining both software functionality and cultural relevance.

What is localization engineering?

Localization engineering is the process of adapting software, websites, or digital content to meet the linguistic, cultural, and technical requirements of a specific target market or region. Localization engineers work closely with translators, developers, and project managers to ensure that products function correctly in different languages and locales. Their responsibilities often include preparing files for translation, maintaining localization tools, managing workflows, and addressing technical challenges such as text expansion, encoding, or formatting issues. The goal is to deliver a seamless user experience that feels natural to users in each target region.

What is the difference between Localization Engineering vs Localization Specialist?

AspectLocalization EngineeringLocalization Specialist
CredentialsTechnical degrees, certifications in software or localization toolsLanguage degrees, translation certifications
Work EnvironmentSoftware development teams, technical projectsTranslation agencies, content teams
Employer & IndustryTech companies, gaming, software firmsPublishing, media, translation services
Primary FocusDeveloping and maintaining localization tools and pipelinesTranslating and adapting content for target markets

Localization Engineering focuses on creating and maintaining technical tools for localization, while Localization Specialists handle content translation and adaptation. Both roles are essential in the localization process but differ in technical versus linguistic focus.

What are some common challenges faced by Localization Engineers during the software release cycle?

Localization Engineers often face challenges such as tight deadlines, managing multiple language assets, and ensuring that localized content integrates seamlessly with the original software. Coordinating with developers, translators, and QA teams requires strong communication skills to resolve issues like text expansion, encoding problems, or UI misalignment across languages. Proactively using automation tools and maintaining clear documentation can help streamline the workflow and minimize last-minute surprises during releases.
What cities in New York are hiring for Localization Engineering jobs? Cities in New York with the most Localization Engineering job openings:
Infographic showing various Localization Engineering job openings in New York as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Staff Software Engineer, Localization

Staff Software Engineer, Localization

AeroVect

New York, NY โ€ข On-site, Remote

Full-time

Posted 22 days ago


Job description

Who We Are
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world's largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are looking for a Staff Software Engineer to join the Localization team and own significant parts of our localization, mapping, and calibration stack as we scale autonomous ground operations across major airports. You'll take deep ownership of specific workstreams, contribute to the team's technical direction, and partner across the perception, planning, and platform interfaces to help drive the autonomous system from supervised operation to driverless. You'll work alongside the team's senior localization engineers.
You Will
  • Take ownership of one or more core areas of the localization stack (LiDAR-inertial-GNSS state estimation, 3D mapping and map maintenance, or sensor calibration) and drive it to production reliability on real hardware at active airports
  • Contribute across the broader localization and mapping pipeline from sensor integration, performance tuning, regression testing, and deployment to new operating environments
  • Help design and build online validation that monitors localization integrity and cross-sensor consistency during live missions, detects drift, and integrates with the vehicle's safety architecture
  • Develop tooling for diagnostics, health logging, and post-mission analysis across the stack
  • Contribute to the regression, validation, and release-gating approach for localization changes deployed to active airports
  • Deploy, test, and iterate using data from real autonomous operations

You Have
  • 8+ years in robotics or autonomous vehicles, with a track record of owning localization or state-estimation systems through production deployment on real hardware
  • Deep practical grounding in multi-sensor fusion and state estimation across LiDAR, IMU, GNSS, and cameras
  • Demonstrated technical leadership - driving architecture across teams, setting direction, and being the person others escalate to on hard estimation problems
  • Strong command of non-linear optimization (Ceres, GTSAM, g2o) and/or filtering (EKF, UKF), with the judgment to know when each applies
  • Strong modern C++ (C++17+) and deep working experience with Linux and ROS/ROS2
  • Understanding of how calibration quality propagates through localization and perception, and how localization errors propagate into the safety case
  • BS or MS in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field

We Prefer
  • MS or PhD with a focus on localization, state estimation, or calibration
  • Hands-on experience with multi-sensor calibration - intrinsic, extrinsic, and temporal
  • Experience with factor graphs, graph-based SLAM, or open-source tools like GLIM, LIO-SAM, Cartographer, Kalibr, Ceres, GTSAM
  • Experience building online/runtime monitoring and defining safety-relevant thresholds within a safety monitoring architecture
  • Track record of taking an autonomous system toward driverless operation