#Senior Networking and Wireless Engineer with AI/ML Expertise

Networking and Wireless Engineering: Design, implement, and troubleshoot advanced networking and WiFi wireless systems, ensuring robust and secure connectivity. Linux Networking: Manage and optimize Linux-based networking systems, ensuring high performance and reliability. Data Path Engineering: Develop and maintain efficient data path solutions to support high-speed data processing and transmission. AI/ML Development: Develop and integrate AI/ML algorithms and models to enhance networking and wireless solutions. Collaboration: Work closely with cross-functional teams, including software developers, network engineers, and data scientists, to integrate AI/ML solutions with networking and wireless technologies. Innovation: Stay updated with the latest industry trends and advancements in AI/ML, networking, and wireless technologies, and apply this knowledge to drive innovation within the company. Mentorship: Provide guidance and mentorship to junior engineers, fostering a culture of continuous learning and improvement. Technical Skills: Proficiency in programming languages such as C, C++, Python and Java. Understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch), Linux networking tools, and WiFi/Networking protocols. Problem-Solving: Excellent analytical and problem-solving skills, with the ability to tackle complex technical challenges. Communication: Strong verbal and written communication skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders. Team Player: Ability to work collaboratively in a fast-paced, dynamic environment and have willingness and flexibility to work as part of a high-caliber international/multi-site team. Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.