Overview
Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
Responsibilities
Responsibilities
- Develop, test, and optimize object detection frameworks such as DETR, YOLO, Vision Transformers (ViT), and Faster-RCNN for classification tasks.
- Implement and enhance state-of-the-art computer vision techniques.
- Write high-performance code in C++, Python, and CUDA for model development and deployment.
- Work with frameworks such as PyTorch, TensorFlow, Keras, and ONNX for training and deploying models.
- Utilize MLOps tools and techniques to streamline the model development lifecycle.
- Analyze and preprocess data for effective classification.
- Collaborate with a multidisciplinary team to achieve project objectivaes.
Qualifications
Careers Privacy Statement
***Keysight is an Equal Opportunity Employer.***
Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.
Qualifications
- Pursuing a Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, or related fields (Master’s students with extensive project or work experience will also be considered).
- Strong background in object detection and computer vision frameworks (DETR, YOLO, ViT, Faster-RCNN).
- Proficiency in programming languages including C++, Python, and CUDA.
- Experience with data analysis and prototyping.
- Hands-on experience with deep learning frameworks like PyTorch, TensorFlow, Keras, and ONNX.
- Familiarity with MLOps practices and tools for model deployment and monitoring.
- Solid understanding of computer vision techniques and principles.
- Strong problem-solving skills and ability to work in a collaborative team environment.
- Excellent communication skills to present technical concepts effectively.
