Description:
Perception is a key part of autonomy. We are looking for a perception engineer to join a team of experts in developing cutting-edge autonomous and operator-assisted driving systems. As a perception engineer, you will be responsible for designing, implementing, and testing algorithms for sensor fusion, object detection, tracking and classification. You will also collaborate with other engineers and researchers to integrate your solutions into a software stack and hardware platform.
What You Will Do:
- Solve challenging perception problems for mobile off-road machines.
- Participate in design and development of high-quality perception software and algorithms to solve our customer needs.
- Document architecture specifications, software design, verification plans, test cases, operating procedures, and safety procedures.
- Work with application teams to collect and analyze data on customer experience with robotic and manned platforms Work with others to analyze and annotate data for ML training. Participate in the iterative ML training cycles to meet perception requirements.
- Use appropriate tools to debug, test and maintain perception software and assist in the verification and validation process.
MUST HAVE experience with:
-C++ and Python (They will do a C++ technical screening)
-Mobile robotics or autonomous driving systems experience (ROS/ROS2) (experience with stationary/nonmobile robotics typically does not transfer well)
-AI/ML/CV (using things like OpenCV, PyTorch/TensorFlow)
-Perception experience (with Lidar, Radar, or cameras for perception)
Education Requirement:
Requires a degree or multiple degrees in Engineering, Computer Science, Robotics, or related field
Skill Descriptors
Artificial Intelligence/Autonomy:
Have a working knowledge of mobile robotics perception for autonomy or advanced operator assist systems. This includes a working knowledge of computer vision, machine learning and deep learning techniques and familiarity with lidar, radar and cameras as perception sensors.
- Design, write, test and review autonomy and advanced operator assist perception software
- Proven ability to work independently and within a team
Software Development Life Cycle & Programming Languages & Application Development Tools:
- Have a working knowledge of the Agile software development life cycle, the C++ and Python programming languages, Eigen, Azure DevOps or Jira for project management and work item tracking, standard software development tools (CMake, Git, SonarQube, Docker, GoogleTest, Artifactory, Clang) used in development of mobile robot perception systems.
- Knowledge of cloud compute and storage tools, AWS EC2, S3, and Batch
- Knowledge of ROS or Autonomous Infrastructure Software (AIS), OpenCV, Tensorflow/PyTorch, and code development tools.
- Participate in efforts to develop, integrate, or test complex autonomy systems that meet prioritized requirements and time frame constraints for autonomous machine programs focusing on machine safety and productivity.
- Ability to solve complex issues spanning multiple subsystems.
Problem Solving:
Have a working knowledge of Perception for mobile robotics with the following:
- Solve challenging perception problems in autonomy and operator assist systems
- A passion for innovation and problem-solving
- Excellent communication and teamwork skills
- Strong mathematics skills
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