pythonc++localizationroboticsslammappingsensor fusionsensor calibrationautonomous drivingestimation theory
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$200к-300к/год
$170к$200кмедиана$230к
По похожим ролям (49) ~ $200к/год
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Крутая вакансия
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Чётко очерченная роль в команде, формирующей направление автономной мобильности, даёт влияние на ключевую систему, хотя ранний этап разработки архитектуры может сопровождаться неопределённостью по мере роста автопарка.
Влияние на основу продукта
Актуальный стек
Перспективная сфера
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr. Calibration, Mapping & Localization Engineer (Autonomous Driving/Robotics): Building calibration, mapping, and localization systems for a multi-vehicle autonomous fleet with an accent on sensor fusion, SLAM, accuracy, and reliability. Focus on designing production sensor calibration, scalable HD mapping and drift-detection pipelines, and localization algorithms for passenger vehicles, robotaxis, buses, and trucks.
Location: Sunnyvale, United States
Salary: $200,000–$300,000
Company
hirify.global is a mobility AI company and the Global Software Center of Hyundai Motor Group, developing software-defined vehicle technologies for connected and autonomous transportation.
What you will do
Design and implement sensor calibration systems for cameras, LiDAR, radar, and IMU sensors in factory and field environments.
Build and maintain mapping pipelines for map creation, versioning, and drift detection.
Develop localization algorithms using sensor fusion, odometry, and SLAM.
Define accuracy, latency, and reliability requirements for outputs used by perception and planning teams.
Build fleet-scale tooling to validate calibration and localization quality.
Diagnose and resolve calibration and localization failures from on-road and simulation testing.
Requirements
5+ years of experience in sensor calibration, SLAM, mapping, localization, or multi-sensor fusion.
Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Electrical Engineering, Mathematics, or a related field.
Strong understanding of estimation theory, including Kalman filters, factor graphs, or optimization-based fusion.
Strong software engineering skills in C++ and/or Python.
Demonstrated ability to take difficult technical problems from ambiguity through successful deployment.
Track record of leading projects from concept through deployment.
Nice to have
Autonomous driving or robotics experience across multiple vehicle classes.
Experience with HD map creation and maintenance pipelines at scale.
Production-vehicle extrinsic calibration experience with LiDAR, cameras, or radar.
Familiarity with functional safety requirements such as ISO 26262.
Culture & Benefits
Founding-team opportunity to shape calibration methodology, mapping strategy, localization architecture, and the technical roadmap.
Work across passenger vehicles, robotaxis, buses, and trucks.
Full-time employment in an Equal Opportunity Employer environment.
Hiring process
Application review, coding test, first interview, second interview, offer negotiation, and hiring.
Submit application documents in PDF format under 30MB; resumes should not include personal information unrelated to job qualifications.
Screening stages and schedules may vary, with notifications sent by email.
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