Job Description

Roles & Responsibilities

• Lead the design and implementation of safety-critical embedded software for autonomous systems, ensuring adherence to industry standards and regulations.
• Develop and maintain software architectures for complex robotic systems, including sensor fusion, perception, and control algorithms.
• Debug and troubleshoot hardware-software interactions, identifying and resolving issues in real-time embedded environments.
• Collaborate with cross-functional teams, including hardware engineers, robotics scientists, and product managers, to define system requirements and specifications.
• Optimize software performance and resource utilization on resource-constrained embedded platforms.
• Conduct code reviews and contribute to the development of best practices for software development in autonomous systems.
• Implement and test software components, ensuring robustness, reliability, and accuracy in autonomous vehicle operations.
• Stay current with emerging technologies and trends in autonomous systems and embedded software development.
• Contribute to the development of software tools and infrastructure to support the software development lifecycle.
• Participate in the integration and testing of autonomous systems, including simulation, hardware-in-the-loop, and field testing.

Desired Candidate Profile

• Demonstrates proficiency in C/C++ programming languages, with a deep understanding of embedded systems architecture and real-time operating systems (RTOS).
• Exhibits experience with sensor integration (e.g., LiDAR, cameras, radar) and sensor fusion algorithms, highlighting the ability to work with diverse sensor data.
• Has experience with robotics frameworks and libraries (e.g., ROS, Autoware), demonstrating familiarity with industry-standard tools.
• Demonstrates experience in safety-critical software development and adherence to relevant industry standards (e.g., ISO , emphasizing a commitment to safety.
• Possesses strong problem-solving and analytical skills, with the ability to diagnose and resolve complex software and hardware issues.
• Exhibits excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
• Demonstrates experience with version control systems (e.g., Git) and software development methodologies (e.g., Agile), highlighting proficiency in development workflows.
• Has a passion for autonomous systems and a desire to contribute to the advancement of robotics and intelligent systems, indicating a genuine interest in the field.