4 дня назад
Robotics Software Engineer (Autonomy)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Robotics Software Engineer (Autonomy): Developing machine automation and autonomy software for perception, mapping, path planning, and sensor fusion with an accent on C++, robotics algorithms, and autonomous vehicle systems. Focus on integrating lidar, camera, and radar data, designing interfaces for sensors and controllers, and productionizing software in Linux-based environments.
Location: Onsite in Warrendale, Pennsylvania, or Franklin, Pennsylvania, USA. Some domestic and overseas travel may be required.
Company
develops technologies, equipment, and services for the construction, mining, forklift, industrial, and forestry markets.
What you will do
- Develop machine automation and autonomy software for perception, mapping, path planning, and sensor fusion.
- Handle the full software development lifecycle, including requirements review, estimation, design, programming, testing, and release.
- Design, prototype, test, deploy, and productionize automation and autonomy software with cross-functional collaborators.
- Integrate custom and commercial off-the-shelf sensors, controllers, and other components through software interfaces.
- Conduct code reviews, functional testing, unit testing, and architectural design for core control software.
- Use Git-based version management and development branching practices.
Requirements
- Bachelor’s or master’s degree in robotics, computer vision, electrical or electronics engineering, mechatronics, computer science, or computer engineering.
- At least 2 years of robotic software development experience and relevant robotics or autonomous vehicle industry experience.
- Strong hands-on C++ programming skills are required.
- At least 2 years of experience developing algorithms or software with lidar, cameras, and radar.
- Experience working in a Linux environment.
- Experience level equivalent to 4+ years with a bachelor’s degree or 2+ years with a master’s degree in the relevant industry domain.
Nice to have
- Machine learning and deep learning experience.
- Experience with MATLAB and Python.
- Experience working with GPUs, CPUs, and FPGAs.
- Experience with ROS, CUDA, OpenCV, and containerization.
- Familiarity with safety-critical system design and industry standards.
Culture & Benefits
- Medical, dental, vision, HSA, and wellness benefits.
- 401(k) and/or employee savings programs.
- Vacation, designated holidays, disability benefits, and life insurance.
- Employee and family assistance programs.
- Learning and development programs in an inclusive workplace.
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