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$58.7K

$110.2K

$200.3K

How much do localization engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for localization engineer in California is $110,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,400.00 and $130,800.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, and systems architecture can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Roles often require advanced certifications, leadership responsibilities, and proficiency with complex tools and technologies.

What do localization engineers do?

Localization engineers develop and implement processes to adapt software, websites, and digital content for different languages and regions. They work with translation tools, manage internationalization efforts, and ensure that products function correctly across various locales, often collaborating with developers, translators, and project managers.

How to start a career in localization?

To start a career as a localization engineer, develop skills in programming, translation tools, and understanding of cultural nuances. Gaining experience with CAT tools, scripting, and quality assurance processes can be beneficial, along with relevant certifications or training in localization or software engineering. Entry-level roles often require a combination of technical knowledge and language proficiency.

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 jobs in the US pay 300,000 a year?

In the US, high-paying roles such as senior software engineers, IT directors, and specialized medical professionals can earn $300,000 or more annually. These positions often require advanced skills, extensive experience, and relevant certifications, and may involve leadership responsibilities or working in competitive industries.

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 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 most commonly searched types of Localization Engineer jobs in California? The most popular types of Localization Engineer jobs in California are:
What are popular job titles related to Localization Engineer jobs in California? For Localization Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Localization Engineer jobs in California look for? The top searched job categories for Localization Engineer jobs in California are:
What cities in California are hiring for Localization Engineer jobs? Cities in California with the most Localization Engineer job openings:
Localization Engineer jobs near you
Infographic showing various Localization Engineer job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $110,170 per year, or $53 per hour.

Software Engineer - Mapping & Localization

WeRide.ai

San Jose, CA • On-site

$130K - $182K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 10 countries around the world. WeRide has operated a self-driving fleet for more than 2,200 days.
WeRide.ai Silicon Valley team is looking for outstanding Software Engineers to lead our visual mapping and localization efforts. We're looking for an engineer with an advanced degree and experience building mapping and localization systems that work with real data in uncertain environments.
You will be responsible for:
Build state-of-the art mapping pipelines that combine data from a wide variety of sensors, as well as localization algorithms that make use of these maps in realtime.
Requirements:
  • 3 years of professional experience (industrial experience is a plus)
  • Familiar with state of the art theory for visual SLAM and place recognition
  • Highly skilled in probabilistic filtering theory, computer vision and inertial pose theory
  • Fluent in C++. Python skills are a plus
  • Proven track record in implementing computationally expensive algorithm in commodity hardware
  • Prior experience in any of pose estimation, probabilistic filtering, SLAM, nonlinear optimization
  • Comfortable building in undefined and fast paced environments
  • Experience in self driving technologies is a plus

Plus:
  • Knowledge of Linux, and development on Linux systems
  • Knowledge of ROS
  • Experience working in an automotive, aerospace environments
  • Previous experience with robotic or vehicle systems
  • Development experience with embedded systems with real-time constraints
  • Experience with realtime sensor fusion (e.g. IMU, lidar, camera, odometry, radar)

Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $130,000 - $182,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
WeRide.ai offers competitive salary depending on the experience. Employee benefits include:
Premium Medical, Dental and Vision Plan (No cost from employees or their families)
Free Daily Breakfast, Lunch and Dinner
Paid vacations and holidays
401K plan
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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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