Embedded Software Engineer (Level DOE)
Role details
Job location
Tech stack
Job description
In this role, you will work as an individual contributor on applied robotics and AI systems, supporting perception, autonomy, and simulation capabilities that enable intelligent machine operation in real-world environments.
Role & Responsibility
Technical Development
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Contribute to the design, development, and integration of software for autonomous and semi-autonomous machine control systems
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Implement and maintain software components supporting perception, autonomy, and system behavior
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Work with ROS / ROS2 to develop robotics middleware, nodes, and data pipelines
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Integrate and deploy AI / ML models into robotics or embedded systems for runtime use
Perception, AI & Simulation
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Support development and integration of perception systems (e.g., vision, localization, sensor fusion)
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Work with camera, lidar, radar, IMU, and other sensors used in robotics and autonomous systems
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Contribute to simulation environments used for development, testing, and validation of autonomous behaviors
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Assist with testing, validation, and performance tuning of AI and perception algorithms in both simulation and physical systems
System Integration & Collaboration
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Collaborate with systems, hardware, validation, and controls engineers to ensure software meets system-level requirements
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Participate in design reviews, code reviews, and technical discussions with senior engineers
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Debug and resolve issues across software, sensor, and system boundaries
Process & Quality
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Follow established software development and validation processes
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Contribute to sprint planning, estimation, and execution of assigned work
Requirements
We are seeking a motivated and technically strong engineer to contribute to the development of robotics and Physical AI software for autonomous machine control platforms., + Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Robotics, or a related field
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0>10 years of experience in software development, robotics, or embedded systems
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Working knowledge of robotics software development concepts and tools
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Hands-on experience with Embedded Linux
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Hands-on experience or strong exposure to ROS or ROS2
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Familiarity with physical AI / Machine Learning in physical systems (e.g., perception, classification, detection)
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Experience working with or integrating robotics sensors (cameras, lidar, radar, IMU, GPS, etc.)
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Strong problem-solving skills and ability to work in a multi-disciplinary engineering environment
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Good communication skills and ability to collaborate effectively within a team
Desirable
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Master's degree in Electrical Engineering, Robotics, or a related field
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Experience with simulation platforms such as Gazebo, Unreal Engine, Unity, or Omniverse
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Experience with C++, Python, or similar languages used in robotics and AI systems
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Experience with GPU or FPGA accelerated embedded hardware such as NVIDIA Jetson, Qualcomm Dragonwing, etc.
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Interest in autonomous systems, intelligent machines, and Physical AI applications
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<10% travel
Benefits & conditions
The salary range for this position is Minimum Pay: $79,663 - Maximum Pay: $97,365 depending on experience and other factors.
We are Doosan Bobcat. At Doosan Bobcat, you are part of the team that empowers people to accomplish more. We offer a total rewards package that will offer you salary plus potential of annual bonus based on your performance. Benefits include medical, dental, vision, prescription, 401(k) match, short & long term disability, health & flexible spending accounts, employee assistance program, life & AD&D insurance, military and jury duty differential pay, tuition reimbursement program, work flex policy, equipment rental program, paid volunteer opportunities, community non-profit donation match, along with paid vacation, holiday, sick, bereavement and parental leave.