AI Workload Engineer

As an AI Workload Engineer, your role involves analyzing AI model architectures and translating them into executable workloads on new HW+SW stack. You will design and implement optimized software components for AI frameworks, ensuring performance, accuracy, scaling, and reliability of AI workloads. Collaboration with cross-functional teams including hardware, compiler, kernels, and runtime is essential for the successful execution of your responsibilities. Key Responsibilities: - Analyze AI model architectures and translate them into executable workloads on new HW+SW stack - Design and implement optimized software components for AI frameworks - Ensure performance, accuracy, scaling, and reliability of AI workloads - Collaborate closely with cross-functional teams (hardware, compiler, kernels, runtime) Qualifications Required: - Bachelors or Masters degree in Computer Science, Math, or related field - 5+ years of strong hands-on experience in software engineering or AI model development - Excellent programming skills in Python and C++ with complex algorithmic problem-solving - Understanding of AI model architectures, especially LLMs - Experience in code optimization techniques (performance, memory, parallelization) - Strong communication and collaboration skills The company may offer additional details regarding the work environment, culture, benefits, or any other information that showcases its uniqueness and values. As an AI Workload Engineer, your role involves analyzing AI model architectures and translating them into executable workloads on new HW+SW stack. You will design and implement optimized software components for AI frameworks, ensuring performance, accuracy, scaling, and reliability of AI workloads. Collaboration with cross-functional teams including hardware, compiler, kernels, and runtime is essential for the successful execution of your responsibilities. Key Responsibilities: - Analyze AI model architectures and translate them into executable workloads on new HW+SW stack - Design and implement optimized software components for AI frameworks - Ensure performance, accuracy, scaling, and reliability of AI workloads - Collaborate closely with cross-functional teams (hardware, compiler, kernels, runtime) Qualifications Required: - Bachelors or Masters degree in Computer Science, Math, or related field - 5+ years of strong hands-on experience in software engineering or AI model development - Excellent programming skills in Python and C++ with complex algorithmic problem-solving - Understanding of AI model architectures, especially LLMs - Experience in code optimization techniques (performance, memory, parallelization) - Strong communication and collaboration skills The company may offer additional details regarding the work environment, culture, benefits, or any other information that showcases its uniqueness and values.