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13 часов назад

Senior/Staff Software Engineer, Localization (Autonomous Vehicles)

180 000 - 250 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior/Staff Software Engineer, Localization (Autonomous Vehicles): Building robust, real-time sensor-fusion and localization solutions for autonomous vehicles with an accent on GPS-IMU integration, SLAM, and map-based localization. Focus on designing high-accuracy algorithms, processing lidar and camera data, and validating system performance in challenging urban and unstructured environments.

Location: Onsite five days per week in Santa Clara, California, United States

Salary: $180,000–$250,000 per year

Company

hirify.global develops Level 4 autonomous transportation technology for short-haul, B2B middle-mile logistics, integrating proprietary software and hardware into autonomous truck fleets.

What you will do

  • Design, develop, and optimize sensor-based localization and odometry algorithms for autonomous vehicles.
  • Build sensor-fusion pipelines using IMU, GPS, lidar, and other sensor data.
  • Develop and integrate real-time SLAM for structured and unstructured environments.
  • Collaborate with perception, mapping, and control teams to integrate localization into the autonomous driving stack.
  • Test and validate algorithms in simulation and real-world scenarios, including challenging urban environments.
  • Debug field-test issues, research advanced lidar and camera localization methods, and improve real-time performance and system robustness.

Requirements

  • Master’s or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field.
  • 6+ years of production C++ software development experience, including architecture, unit testing, code review, and algorithm performance trade-offs.
  • 2+ years of experience in autonomous vehicles or ADAS.
  • Experience developing localization for autonomous vehicles or robotic systems, especially GPS-IMU sensor fusion and SLAM.
  • Proficiency in C++ and Python, with hands-on ROS or ROS2 experience.
  • Expertise in pose estimation, probabilistic and Kalman filtering, nonlinear optimization, sensor calibration, large-scale datasets, and real-time performance requirements.

Nice to have

  • Experience with MATLAB or Simulink.
  • Strong linear algebra, probability, and optimization skills.
  • Experience optimizing and deploying real-time control systems.

Culture & Benefits

  • Work on autonomous transportation technology for commercial middle-mile logistics.
  • Collaborative, respectful, and agile working culture.
  • Inclusive environment focused on diversity, professional growth, and equal opportunity.
  • Opportunity to contribute to safer, more resilient, and more sustainable freight transportation.

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