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10 часов назад

Engineering Manager (Autonomous Driving)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
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
Engineering Manager (Autonomous Driving) (Simulation and Verification): Leading the development and scaling of an autonomous driving simulation platform for safely testing autonomous trucks in virtual environments with an accent on simulation infrastructure, CI/CD workflows, and data verification. Focus on building high-fidelity sensor simulation, closed-loop fleet-data replay, synthetic scenario generation, and scalable regression testing.

Location: Santa Clara, CA; on-site

Company

hirify.global develops autonomous driving technology for trucks, supported by simulation and verification systems.

What you will do

  • Lead the evolution and scaling of the autonomous driving simulation platform.
  • Manage software engineering and software validation and verification teams working on simulation infrastructure, CI/CD pipelines, data verification tools, and scenario creation.
  • Oversee high-fidelity sensor simulation, closed-loop replay of fleet data, and synthetic scenario generation.
  • Collaborate with Planning, Perception, Control, and Safety teams to integrate simulation results into the development lifecycle.
  • Optimize CI/CD workflows and resource allocation for regression testing and on-demand experiments.
  • Standardize scenario management, quality control, metrics, and benchmarking for simulation performance, coverage, and mileage.

Requirements

  • 5+ years of software engineering experience, including 2+ years in engineering management.
  • Experience in autonomous driving, robotics, or complex system simulation.
  • Experience with simulation tools such as CARLA, Unreal Engine, or custom simulator development.
  • Strong backend and frontend engineering experience with Python, FastAPI, PostgreSQL, React, and Vite.
  • Knowledge of AWS, Docker, Kubernetes, and Jenkins-based CI/CD orchestration.
  • Experience building high-volume simulation data pipelines for ingestion, storage, and visualization.

Nice to have

  • Experience with LiDAR, radar, camera sensor simulation, and digital twin technologies.
  • Familiarity with data-driven testing, bag replay, event processing, and large-scale data processing.
  • Experience hiring and scaling engineering teams in a fast-paced R&D environment.

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