AMD is looking to expand its market share in the High-Performance Computing (HPC) and Artificial Intelligence (AI) sectors, specifically targeting large US National labs and sovereign AI centers. The company needs to effectively demonstrate and position its Instinct GPUs, EPYC CPUs, and AI NICs to these key customers, addressing their complex AI workload needs and outperforming competitors.
Requirements
- Demonstrable hands-on expertise working with either popular AI frameworks and models or HPC applications on GPU
- Strong systems background. Understands and can quantify the impact of system architecture on performance
- Run training and inference performance investigations using common frameworks (Pytorch, Tensorflow, JAX) and using MLperf, Hugging Face etc
- Demonstrated experience with training and inference workloads or conventional HPC applications on GPUs
- Executing applications in common frameworks (Pytorch, Tensorflow, Jax).
- Proven understanding of baseline testing of popular AI applications (e.g. Resnet, BERT, DLRM, etc) and other real-world codes such as Large Language Models, image detection, NLP, recommendation engines etc.
- Understand how the software stack affects performance: frameworks, precision, compilers, libraries, and other accompanying middleware applications
Responsibilities
- Guiding technical AI discussions within large US National labs, US Federal, and Sovereign AI customers at both an application level and a systems level
- ‘Hands-on’ engineering investigations to understand both performance and characteristic performance across popular and customer-specific training and inference workloads.
- Owning the technical interface into the customer, working closely with sales
- Positioning AMD Instinct GPUs, EPYC CPUs and our new ‘AI smart NICs’
- Support winning new AI business in national AI and HPC centers. Enabling customers to execute their AI workloads on AMD Instinct GPUs, EPYC CPUs, and AI NICs. Supporting partners in RFP responses by testing requested workloads.
- Demonstrate and advise customers and partners through Proof of Concepts, presentations, and training
- Engineering: execute popular and customer-driven AI inference and training workloads, generate results and create a characteristic understanding of AI performance on AMD hardware.
Other
- This role is a mixture of strong presales engagement and customer management, coupled with a ‘hand-on’ technical engineering role at both application and system level.
- Strong positive can-do attitude willing to do what is necessary and lead others in the wider FAE team by example. Available to help colleagues.
- Skilled in independently prioritizing opportunities to deliver results on time
- Excellent verbal and written communication skills
- Based in the USA
