[Remote] Senior Field Application Engineer – AI

Note: The job is a remote job and is open to candidates in USA. AMD is a semiconductor company developing products for next-generation computing, including AI and data centers. AMD is seeking a Senior Field Application Engineer to support customers and partners in running and optimizing AI workloads on AMD hardware, investigate performance, create technical documentation, and deliver customer presentations and training.

Responsibilities

• Support winning new AI business. Enabling customers to execute their AI workloads on AMD Instinct GPUs, AMD Pensando™ Pollara AI NICs, and EPYC CPUs. Supporting partners in RFP responses by testing requested workloads
• Build and nurture deep technical relationships with engineers, architects, and leaders at key customer accounts, and serve as a trusted advisor through application‑ and system/MLops‑focused POCs, 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. Understand how system and software choices affect performance. Compare performance to our competition
• Run training and inference performance investigations using common frameworks (Pytorch, Tensorflow, JAX) and using MLperf, Hugging Face etc
• Build a body of documentation for internal and external dissemination: AMD-internal guides, whitepapers, tuning guides, training collateral
• Proactive engagement across AMD teams: GPU Business Unit, Engineering, Architecture, Platform, Software, and Product Development teams providing feedback and leadership from the field on requirements. Gathering missing functionality and working with Engineering to resolve and test
• Assist in creating Total Cost of Ownership models to aid pricing with bid desk
• Technically owning and resolving customer and partner issues. Submitting JIRA tickets and driving resolution

Skills

• * Track record working within AI. You are currently in a role undertaking AI inference or training as a key part of your function
• * Demonstrable hands-on expertise working with popular AI frameworks
• * 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 written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams
• * Open to travel both domestic and international, approximately 10-20% over a year
• The role is based within the United States and will require some travel to customers and conferences both nationally and internationally
• This role is not eligible for visa sponsorship
• * Demonstrated experience with training and inference workloads on GPUs
• * Executing applications in common frameworks (Pytorch, Tensorflow, Jax)
• * Any experience with popular AI repositories (e.g. HuggingFace, MLperf) and understanding derived performance/functionality differences between them
• * MLops: familiarity with KVM, Kubernetes, Openstack, Openshift
• * Understanding system level hardware design and its impact on performance
• * Understand how the software stack affects performance: frameworks, precision, compilers, libraries, and other accompanying middleware applications
• * Customer-facing experience. Able to write technical documents and communicate at an appropriate level depending on the audience
• * Some Linux administration; understanding setup for HPC/AI middleware
• * Hands-on AI experience within automotive, finance, healthcare, defense verticals
• * Programming experience with any of HIP, CUDA, Python, C/C++, Fortran, OpenACC, OpenMP, pSTL
• * Understanding impact of inter-node network choices on performance at scale. Creating performance projections for applications
• * Deep Neural Networks and their design for different Machine Learning cases
• * Any experience understanding/inspecting/writing assembly
• * Understanding of memory and cache hierarchy and methods to query performance/latency at each level. Inspecting and dataflow down to the register-level
• * Datacenter deployment and management experience
• * Government level security clearance
• * Bachelors' Degree in a technical field (Computer Science, Electrical Engineering, Physics, Mathematics) preferred

Benefits

• Opportunity to grow within the role
• Remote work option

Company Overview