As the Senior Manager of Semiconductor Engineering and Cloud Solutions, you will lead strategic initiatives at the intersection of semiconductor technology and cloud computing. Leveraging your expertise in semiconductor engineering and cloud solutions, you will be responsible for driving innovation, product development, and business growth in these critical areas. You will collaborate closely with cross-functional teams to define and execute strategies that capitalize on emerging trends and technologies, ensuring the company remains at the forefront of the semiconductor and cloud industries.
Qualifications:
-Bachelor's, Master's, or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field.
-Extensive experience in semiconductor engineering, with a focus on semiconductor design, manufacturing, and testing.
-Strong understanding of cloud computing principles, architectures, and technologies, with experience in cloud-based solutions development and deployment.
-Proven track record of leadership and management in semiconductor engineering and/or cloud solutions roles, with experience leading cross-functional teams and driving strategic initiatives.
-Excellent communication and interpersonal skills, with the ability to collaborate effectively with internal stakeholders, external partners, and customers.
-Strategic mindset with the ability to analyze market trends, identify opportunities, and develop actionable plans to capitalize on them.
-Strong analytical and problem-solving skills, with the ability to translate technical complexities into strategic business decisions.
Enhanced Software Skill Requirements:
-Proficiency in software development languages such as Python, C/C++, or Java, with experience in developing software tools and applications for semiconductor engineering or cloud solutions.
-Experience with software-defined infrastructure and automation tools, such as Ansible, Terraform, or Chef, for provisioning, configuration, and management of cloud-based resources.
-Familiarity with cloud-native development frameworks and platforms, including Kubernetes,
-Docker, and serverless computing, for building and deploying scalable, resilient, and cost-effective cloud applications.
-Knowledge of software development methodologies, such as Agile or DevOps, and experience implementing continuous integration/continuous deployment (CI/CD) pipelines for software delivery and deployment.
-Proficiency in data analytics and visualization tools, such as Pandas, NumPy, Matplotlib, or Tableau, for analyzing semiconductor data, cloud performance metrics, and business insights.
-Experience with cybersecurity principles and best practices for securing semiconductor designs, cloud infrastructure, and software applications against cyber threats and vulnerabilities.