Engineer Software C

• Design, implement, and optimize the current software architecture of the autonomous stack.
• Develop a comprehensive, behavior-based decision-making framework for diverse autonomous ground vehicles.
• Develop unit and functional test cases for the autonomous stack. (code coverage, memory management, integration with the ci/cd pipeline)
• Conduct thorough evaluations of decision-making architectures, seeking continuous improvement.
• Collaborate across functions for seamless integration of decision-making modules with vehicle systems.
• Stay updated on emerging trends in autonomous driving, and decision-making algorithms.
• Produce extensive technical documentation and support internal teams and third-party understanding and adoption.
• Work in projects utilizing C++, Python and various ROS components

Requirements

• Proven experience in decision-making algorithms for autonomous ground robots.
• Strong C++ and Python programming skills, with a solid foundation in algorithm design and system architecture.
• Deep understanding of decision-making approaches, including Rule-Based, Optimization, Probabilistic, Statistical Learning-Based, Deep Learning-Based, and Reinforcement Learning-Based Methods.
• Practical experience with multi-vehicle systems, robotic racing, and autonomous vehicle challenges.
• Excellent problem-solving, creativity, and attention to detail.
• Outstanding communication and teamwork skills, capable of leading in interdisciplinary settings.
• Continuous learning commitment, keeping abreast of the latest in autonomous driving and related technologies.
• Expertise in C++ debugging tools like gdb, valgrind etc. and profilers like gperftools.
• Experience with ground robotics projects involving Linux, docker, ROS1/2, and agile tools like git, Jira.
• Significant hands-on experience with field experiments and hardware integration.

Qualifications

• Bachelor’s, Master’s, or PhD in Robotics, Computer Science, Engineering, or related field.
• Relevant work experience