14 дней назад
Engineering Manager, Active Sensors (LiDAR)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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TL;DR
Engineering Manager, Active Sensors (LiDAR) (Autonomous Driving/ML): Lead the development and deployment of lidar- and radar-based perception systems for autonomous trucks with an accent on multitask learning, 3D perception, robustness, and real-time embedded execution. Focus on guiding technical architecture, building production machine learning pipelines, managing sensor degradation and adverse-weather scenarios, and delivering reliable perception capabilities across the full lifecycle.
Location: Remote in the United States or hybrid at offices in Ann Arbor, Michigan; Blacksburg, Virginia; or Fort Worth, Texas.
Company
Develops production software and machine learning systems for autonomous trucks as part of the Daimler family.
What you will do
- Lead, coach, hire, and develop machine learning and software engineers.
- Set the technical direction, roadmap, priorities, and delivery plans for active-sensor perception.
- Guide multitask models for object detection, road and lane understanding, free-space estimation, and 3D occupancy using lidar and radar.
- Own the machine learning lifecycle from data requirements and experimentation through evaluation, integration, release, monitoring, and robotic testing.
- Define metrics, benchmarks, failure analysis, and strategies for robustness across adverse weather, sensor degradation, and sensor failures.
- Collaborate with perception, planning, infrastructure, simulation, hardware, embedded-platform, systems-engineering, and safety teams while communicating risks and progress to senior leadership.
Requirements
- Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, or a related field with 6+ years of professional experience, or a master’s degree with 4+ years of experience.
- 2+ years of experience leading and managing engineers, including coaching, performance management, and career development.
- Strong foundation in machine learning, computer vision, 3D geometry, model evaluation, uncertainty, and perception failure modes.
- Experience developing and deploying production machine learning systems for autonomous driving, robotics, or another real-world application.
- Strong understanding of lidar sensing, sensor synchronization, embedded computing, and real-time perception constraints.
- Strong proficiency in Python and PyTorch, practical production experience with C++, and experience optimizing deep learning models with TensorRT.
Nice to have
- PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related field.
- Experience with NVIDIA CUDA, cuDNN, cuBLAS, NPP, or custom TensorRT operations.
- Publications, patents, or open-source contributions in machine learning, computer vision, robotics, or autonomous driving.
Culture & Benefits
- Collaborative, energetic, and team-focused work environment.
- Competitive compensation package with a bonus component and stock options.
- 100% paid medical, dental, and vision premiums for full-time employees.
- 401(k) plan with a 6% employer match, life insurance, and AD&D coverage.
- Flexible scheduling, generous paid vacation available immediately after starting, and company-wide holiday office closures.
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