Top Perl Jobs in Palm Bay-Melbourne-Titusville,

The Test Engineer II at Thales is responsible for designing and developing test program software and hardware for automated and semi-automated systems. This role involves monitoring performance, troubleshooting, and implementing solutions while managing multiple projects and stakeholders.

The CPU Power Architect will enhance power efficiency for next-gen processor designs by defining architectures, modeling consumption, and optimizing management techniques. Responsibilities include collaborating with teams, implementing optimization techniques, and conducting simulations for energy reduction. The role demands a solid understanding of CPU architectures and power-related processes.

The Senior Staff Design Verification Engineer will verify new hardware blocks and sub-systems, develop and maintain verification environments, and collaborate with design engineers to meet project goals. Responsibilities include creating test cases and ensuring designs meet performance requirements.

As a Software Engineer II at Pathward, you will develop and maintain financial solutions, enhance existing systems, and contribute to technical projects while adhering to software development processes. You will also document software practices and stay updated on industry standards.

The Senior Cloud Engineer will design, migrate, develop, and deploy applications on AWS, ensuring high performance, reliability, and security. The role involves collaboration within cross-functional teams and applying best practices in software development and cloud integration. The engineer will manage application enhancements and guide improvements in technology architectures while adhering to compliance standards.

The Senior QA Automation Engineer is responsible for developing and executing automated testing strategies, mentoring QA team members, designing test plans, and maintaining automation frameworks, while ensuring quality outcomes through Agile methodologies.

Interns will engage in projects related to Artificial Intelligence and Deep Learning, contributing to areas such as autonomous vehicles, algorithm development, deep learning frameworks, and machine learning platforms. They will gain hands-on experience alongside industry leaders in a collaborative environment.