As a Machine Perception (MP) Engineer at Northrop Grumman, you will design and develop machine perception systems for various applications, leveraging expertise in computer vision, machine learning, and software development. You will work closely with cross-functional teams to integrate perception systems into larger systems and ensure seamless integration with other components. The ideal candidate will have a strong background in computer vision, machine learning, and software development, with experience in languages such as Python and C++. You will be responsible for developing and testing perception algorithms, integrating them with other systems, and ensuring the overall performance and reliability of the system. The successful candidate will have a strong understanding of computer vision and machine learning concepts, as well as experience with deep learning frameworks such as TensorFlow or PyTorch. You will also have experience with cloud-based services such as AWS, and be familiar with Agile development methodologies.
Key Responsibilities:
- Design and develop machine perception systems for various applications, leveraging expertise in computer vision, machine learning, and software development.
- Work closely with cross-functional teams to integrate perception systems into larger systems and ensure seamless integration with other components.
- Develop and test perception algorithms, integrating them with other systems, and ensure the overall performance and reliability of the system.
- Collaborate with other engineers to identify and resolve technical issues and improve system performance.
- Stay up-to-date with the latest advancements in computer vision and machine learning, and apply this knowledge to improve system performance and capabilities.
Requirements:
- Master's degree in Computer Science, Electrical Engineering, or related field.
- 5+ years of experience in computer vision, machine learning, and software development.
- Strong background in computer vision, machine learning, and software development, with experience in languages such as Python and C++.
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Experience with cloud-based services such as AWS.