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10 дней назад

Senior Robotics Engineer (LiDAR/3D Sensing)

276 100 - 293 750$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Robotics Engineer (LiDAR/3D Sensing): Developing calibration, synchronisation and alignment systems for LiDAR, cameras and other vehicle sensors with an accent on 3D geometry, state estimation and robust motion compensation. Focus on solving timing, rolling-shutter and LiDAR sweep challenges, productionising sensing systems across diverse vehicles, and providing technical leadership.

Location: Hybrid in Sunnyvale, California, USA or London, United Kingdom

Estimated base salary: $276,100–$293,750 annually

Company

hirify.global is building an AI platform for autonomous driving that learns from real-world experience and supports mapless, hardware-agnostic vehicle automation.

What you will do

  • Define the architecture and technical roadmap for LiDAR and cross-sensor 3D sensing.
  • Develop target-based and targetless LiDAR calibration and registration, including LiDAR-to-camera alignment.
  • Build temporal alignment and motion-compensation methods using LiDAR odometry, nonlinear least-squares optimisation and factor graphs.
  • Establish evaluation methodologies and productionise reliable 3D sensing systems across vehicles, environments and sensor configurations.
  • Collaborate with research and engineering teams while providing technical leadership and mentorship.

Requirements

  • Significant experience developing robotics or autonomous-driving systems involving LiDAR, cameras and 3D sensor data.
  • Strong knowledge of sensor calibration, registration, 3D geometry, state estimation and optimisation.
  • Experience with sensor timing, LiDAR sweep distortion, rolling-shutter cameras and motion compensation.
  • Strong C++ and/or Python software-engineering skills, including taking algorithms from prototype through production deployment.
  • Experience defining evaluation methodologies, datasets and metrics for real-world 3D sensing.
  • Demonstrated technical leadership, including setting direction and mentoring engineers.

Nice to have

  • Experience with LiDAR odometry, SLAM, mapping, metric-depth foundation models or learned feature correspondences.
  • Familiarity with Gaussian splatting, dynamic-scene processing or other emerging 3D representations.
  • Experience with GTSAM, Ceres Solver or g2o.

Culture & Benefits

  • Hybrid working with in-person collaboration, remote work and core hours.
  • Relocation support and visa sponsorship where applicable.
  • Access to vehicle workshops and labs.
  • Equity, learning and development budgets, and support for training and conferences.
  • Health, dental, retirement or pension benefits, enhanced parental leave and wellbeing support where applicable.

Hiring process

  • Recruiter screen covering background, interests and hiring context.
  • Competency interviews covering programming and code review, followed by deep-dive technical interviews on domain knowledge and system design.
  • Final interview focused on mission and values alignment.

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