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Localization Lead information

What does a localization lead do?

A Localization Lead is responsible for managing the localization process of content, products, or services to ensure they are culturally and linguistically appropriate for different markets. They coordinate translators, review quality standards, and collaborate with cross-functional teams to maintain brand consistency. Additionally, they oversee timelines, budgets, and tools to optimize the localization workflow. Their role is crucial in ensuring a seamless user experience for global audiences.

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

To thrive as a Localization Lead, you need expertise in project management, proficiency in multiple languages or translation processes, and a degree in linguistics, localization, or a related field. Familiarity with industry-standard localization tools such as CAT tools (e.g., SDL Trados, MemoQ), TMS platforms, and quality assurance systems is essential, along with certifications like ATA or ISO 17100 being advantageous. Strong leadership, cross-cultural communication, and problem-solving skills are vital for coordinating teams and resolving challenges. These skills ensure accurate, timely, and culturally appropriate localization that meets both business needs and market expectations.

What are the typical daily responsibilities of a localization lead?

A Localization Lead typically oversees localization projects from start to finish, managing timelines, budgets, and communication with internal teams and external vendors. Daily tasks include reviewing source and translated content, coordinating with translators and language specialists, and ensuring adherence to quality standards and style guides. You may also conduct cultural checks, troubleshoot any linguistic or technical issues, and report project status to stakeholders. This role often requires collaboration with product managers, engineers, and marketing teams to ensure smooth integration and launch of localized content across different markets.

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Localization Lead jobs near you
Infographic showing various Localization Lead job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Principal Engineer, Mapping and Localization

PlusAI

Santa Clara, CA • On-site

$200K - $260K/yr

Full-time

Retirement

Re-posted 2 days ago

Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
As a Principal Engineer on our Mapping and Localization team, you will design and implement high-fidelity fusion algorithms that combine LiDAR, Radar, Camera, IMU, and GNSS data with HD Maps to achieve centimeter-level accuracy. You will tackle the hardest edge cases-from GPS-denied tunnels to dynamic construction zones-ensuring our vehicles operate safely in complex L4 ODDs (Operational Design Domains).
Responsibilities:
  • Lead the design and evolution of our localization architecture, making critical build-vs-buy decisions and defining long-term technical roadmaps.
  • Design and implement robust, real-time algorithms for sensor fusion, visual/LiDAR odometry, and global localization using techniques like Factor Graphs, EKF/UKF, and particle filters.
  • Develop pipelines to generate, maintain, and query High-Definition (HD) maps.
  • Work on "priors-based" localization and semantic map matching.
  • Solve the "stale map" problem by designing systems for change detection. You will use fleet data to identify construction zones, lane shifts, or new signage and update the map in near real-time. Maintain and continuously update large-scale LiDAR-based HD maps to support autonomous driving systems.
  • Optimize code for embedded compute constraints (latency, memory, and power) without sacrificing safety or accuracy.
  • Provide self diagnosis capability for localization
  • Act as a technical mentor to senior and junior engineers, conducting rigorous code reviews and fostering a culture of engineering excellence.

Required Skills:
  • M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field.
  • 7+ years of industry experience in robotics, with at least 4 years dedicated to production-level localization or mapping systems.
  • Expert-level Modern C++ (14/17/20) skills, with a deep understanding of memory management, multi-threading, and real-time systems.
  • Strong theoretical foundation in probabilistic robotics, including Kalman Filtering (EKF, UKF), nonlinear optimization (Ceres, g2o, GTSAM), and SLAM.
  • Deep understanding of 3D geometry, linear algebra, and coordinate transformations (quaternions, SE(3)).
  • Familiarity with Eigen, Ceres, PCL, OpenCV, GTSAM

Preferred Skills:
  • Experience shipping localization stacks for deployed autonomous vehicles or mobile robots.
  • Hands-on experience with LOAM, lego-LOAM, ORB-SLAM, or VINS.
  • Experience with CUDA/GPU programming or optimization for ARM-based embedded platforms.

$200,000 - $260,000 a year
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
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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