10 часов назад
Engineering Manager (Autonomous Driving)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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