AI Hardware Engineer
## WHAT YOU WILL DO:
Design and develop high-performance hardware systems tailored for AI applications, including processors, accelerators, and other specialized components.
Optimize hardware architectures for AI workloads, focusing on performance, efficiency, and scalability.
Work closely with AI software engineers to ensure seamless integration of hardware and software components, optimizing overall system performance.
Develop and test hardware prototypes, ensuring they meet design specifications and performance tests.
Conduct performance benchmarking and analysis of AI hardware, identifying bottlenecks and areas for improvement.
Work with hardware vendors to evaluate and integrate GPUs into AI infrastructure.
Stay up to date with latest advancements in the AI hardware technologies and contribute to research and development efforts to keep the company innovative.
Create and maintain comprehensive documentation for hardware designs, specifications, and testing procedures.
Provide technical support for hardware-related issues, ensuring timely resolution and minimal disruption.
## Minimum Qualifications; Knowledge, Skills and Abilities:
Bachelorās or masterās degree in computer engineering, electrical engineering, or a related field.
3+ years of experience in hardware engineering, preferred experience in designing and optimizing hardware for AI applications.
Understanding of high-performance computing (HPC) principles and techniques.
Knowledge of computer architecture, memory hierarchies, and data flow optimization.
Understanding of AI and machine learning algorithms and frameworks.
Expertise in designing and optimizing GPU-based hardware systems for AI workloads.
Proficiency in cloud computing platforms and services for deploying and managing GPU environments.
Experience with containerization platforms like Docker and Kubernetes for GPU orchestration.
Design and develop high-performance hardware systems tailored for AI applications, including processors, accelerators, and other specialized components.
Optimize hardware architectures for AI workloads, focusing on performance, efficiency, and scalability.
Work closely with AI software engineers to ensure seamless integration of hardware and software components, optimizing overall system performance.
Develop and test hardware prototypes, ensuring they meet design specifications and performance tests.
Conduct performance benchmarking and analysis of AI hardware, identifying bottlenecks and areas for improvement.
Work with hardware vendors to evaluate and integrate GPUs into AI infrastructure.
Stay up to date with latest advancements in the AI hardware technologies and contribute to research and development efforts to keep the company innovative.
Create and maintain comprehensive documentation for hardware designs, specifications, and testing procedures.
Provide technical support for hardware-related issues, ensuring timely resolution and minimal disruption.
## Minimum Qualifications; Knowledge, Skills and Abilities:
Bachelorās or masterās degree in computer engineering, electrical engineering, or a related field.
3+ years of experience in hardware engineering, preferred experience in designing and optimizing hardware for AI applications.
Understanding of high-performance computing (HPC) principles and techniques.
Knowledge of computer architecture, memory hierarchies, and data flow optimization.
Understanding of AI and machine learning algorithms and frameworks.
Expertise in designing and optimizing GPU-based hardware systems for AI workloads.
Proficiency in cloud computing platforms and services for deploying and managing GPU environments.
Experience with containerization platforms like Docker and Kubernetes for GPU orchestration.