Analyst, Algorithm Research & Development (CUDA)

As an Analyst in Algorithm Research & Development (CUDA) at Enormous Enterprise LLC, you will play a crucial role in developing algorithms that focus on CUDA acceleration and the conversion of image processing algorithms and models from CPU to GPU. Your responsibilities will include: - Developing algorithms with a specific focus on CUDA acceleration and optimizing CPU to GPU conversion for image processing algorithms and models. - Keeping yourself updated with emerging technologies and industry best practices to bring new ideas to the team, thereby enhancing the platform's capabilities. To qualify for this position, you should meet the following requirements: - Education: Masters degree in Computer Science or a related field, or Bachelors degree in Computer Science (or related) with a minimum of 3 years of hands-on web application development experience. - Experience: At least 3+ years of professional algorithm development experience, with a strong track record of delivering software projects from design to deployment. - Programming Skills: Profound understanding of operating systems, computer networks, and high-performance applications. Familiarity with deep-learning frameworks such as TensorFlow and PyTorch. Strong background in modern C++ concepts and scripting skills in Bash, Python, or similar. - Team Collaboration: Excellent communication skills and the ability to work effectively in a cross-functional team environment. Comfortable collaborating with diverse team members and conveying technical ideas clearly. - Adaptability: Willingness to learn new technologies and adapt to evolving project requirements. Enthusiasm for working in a dynamic, fast-changing environment. Additionally, having the following preferred qualifications would be advantageous: - HPC/Simulation Background: Experience in scientific computing, simulations, or HPC applications. - DevOps & CI/CD: Hands-on experience with DevOps tools and workflows, setting up CI/CD pipelines using platforms like Azure DevOps, Jenkins, or GitHub Actions. - Containerization & Cloud: Experience with Docker and Kubernetes for deploying microservices, familiarity with cloud services or infrastructure (Azure, AWS, etc.). Join Enormous Enterprise LLC and be part of a global leader in diversified electronics for the semiconductor manufacturing ecosystem, where innovation and collaboration drive the development of cutting-edge technologies that shape the future of electronic devices. As an Analyst in Algorithm Research & Development (CUDA) at Enormous Enterprise LLC, you will play a crucial role in developing algorithms that focus on CUDA acceleration and the conversion of image processing algorithms and models from CPU to GPU. Your responsibilities will include: - Developing algorithms with a specific focus on CUDA acceleration and optimizing CPU to GPU conversion for image processing algorithms and models. - Keeping yourself updated with emerging technologies and industry best practices to bring new ideas to the team, thereby enhancing the platform's capabilities. To qualify for this position, you should meet the following requirements: - Education: Masters degree in Computer Science or a related field, or Bachelors degree in Computer Science (or related) with a minimum of 3 years of hands-on web application development experience. - Experience: At least 3+ years of professional algorithm development experience, with a strong track record of delivering software projects from design to deployment. - Programming Skills: Profound understanding of operating systems, computer networks, and high-performance applications. Familiarity with deep-learning frameworks such as TensorFlow and PyTorch. Strong background in modern C++ concepts and scripting skills in Bash, Python, or similar. - Team Collaboration: Excellent communication skills and the ability to work effectively in a cross-functional team environment. Comfortable collaborating with diverse team members and conveying technical ideas clearly. - Adaptability: Willingness to learn new technologies and adapt to evolving project requirements. Enthusiasm for working in a dynamic, fast-changing environment. Additionally, having the following preferred qualifications would be advantageous: - HPC/Simulation Background: Experience in scientific computing, simulations, or HPC applications. - DevOps & CI/CD: Hands-on experience with DevOps tools and workflows, setting up CI/CD pipelines using platforms like Azure DevOps, Jenkins, or GitHub Actions. - Containerization & Cloud: Experience with Docker and Kubernetes for deploying microservices, familiarity with cloud services or infrastructure (Azure, AWS, etc.). Join Enormous Enterprise LLC and be part of a global leader in diversified electronics for the semiconductor manufacturing ecosystem, where innovation and collaboration drive the development of cutting-edge technologies that shape the future of electronic devices.