Robotics Senior Software Engineer

About the Role

Key Responsibilities

• Collaborate with cross-functional teams to define, design, and deliver new features for various platforms and systems, including GPP platform, CNH Tech Stack, and target machine integration.
• Support the definition of the robotic strategy of CNH.
• Lead the development of software architecture and design for complex robotic systems, providing mentorship to junior engineers and becoming the reference leader in NHO PA.
• Supervise the design, development, and maintenance of software for robotic systems, ensuring high performance and reliability.
• Implement and optimize algorithms for robot perception, planning, and control.
• Troubleshoot and resolve software defects and issues.
• Define and support field testing to debug and troubleshoot software and hardware issues in robotic systems.
• Supervise deployment of robotic systems in the field, report issues, and coordinate with stakeholders to resolve them.
• Maintain a full understanding of the technology landscape and implementation requirements at the system level.
• Ensure embedded software development complies with CNHi Vehicle Electronics and Advanced Engineering process and Functional Safety standards.
• Create and maintain system documentation to meet requirements and ensure consistency.
• Provide regular progress updates to senior management.
• Stay current with advancements in robotics, navigation, and embedded systems.
• Document designs, experiments, and test results for internal and external stakeholders.

Requirements

• Bachelor's or Master's degree in Electronics Engineering, Computer Science, Robotics, or a related field, or autonomous driving/robotics experience.
• Proficiency with programming languages such as C, C++, and Python.
• 4-5 years of experience with ROS and/or ROS2.
• 4-5 years of experience with OpenCV.
• 3-4 years of experience working with sensor data from cameras, stereo-cameras, LiDARs.
• Experience with embedded software development and real-time operating systems (RTOS).
• Knowledge of control systems, path planning, and obstacle avoidance.

Nice to Have

• PhD in Electronics Engineering, Computer Science, Robotics, or a related field, or autonomous driving/robotics experience.
• Proficiency in Computer Vision.
• 3 years of experience in embedded software development.
• Experience with GPU programming (Cuda).
• 2-3 years of experience with Deep Learning Models.
• Experience with collaborative development tools such as Git and SVN.
• Familiarity with simulation tools.
• Agriculture knowledge.

Benefits & Perks

• Medical, dental, vision, disability, and life insurance.
• Industry-leading 401k plan.
• Paid parental leave.
• Flexible work policies.
• Opportunities for self-development.
• Paid leave for specific activities.