About the company
At Foundry, we’re not waiting for a decentralized financial future — we’re building it now. By empowering institutions with the tools they need to mine and stake digital assets, we’re thoughtfully driving the industry forward. Are you a driven blockchain enthusiast interested in joining our team? Check out our open roles. Also, if you have an interest in Foundry and a passion for our industry, but don't see a position that is a fit for you at this time, please submit your application to the General Interest and one of our recruiters will review your application.
Job Summary
WHAT YOU WILL DO:
đź“ŤDesign and develop high-performance hardware systems tailored for AI applications, including processors, accelerators, and other specialized components. đź“ŤOptimize hardware architectures for AI workloads, focusing on performance, efficiency, and scalability. đź“ŤWork closely with AI software engineers to ensure seamless integration of hardware and software components, optimizing overall system performance. đź“ŤDevelop and test hardware prototypes, ensuring they meet design specifications and performance tests. đź“ŤConduct performance benchmarking and analysis of AI hardware, identifying bottlenecks and areas for improvement. đź“ŤWork with hardware vendors to evaluate and integrate GPUs into AI infrastructure. đź“ŤStay up to date with latest advancements in the AI hardware technologies and contribute to research and development efforts to keep the company innovative. đź“ŤCreate and maintain comprehensive documentation for hardware designs, specifications, and testing procedures. đź“ŤProvide technical support for hardware-related issues, ensuring timely resolution and minimal disruption.
Minimum Qualifications; Knowledge, Skills and Abilities:
📍Bachelor’s or master’s 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.
