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Advanced Microdevices Pvt. Ltd. (India) · 1 week ago

Field Application Engineer – Enterprise and Hyperscalers

Austin, TX

Full-time

Hybrid

Mid, Senior Level

Advanced Micro Devices, Inc. is committed to building innovative products that enhance next-generation computing experiences. The Field Application Engineer will collaborate closely with major hyperscale and enterprise customers to support and optimize performance on AMD products, while also creating technical documentation and delivering presentations.

BiopharmaBiotechnologyIndustrialManufacturing

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Support winning new business within the Enterprise and Mega Data Center verticals. Enabling customers to execute their workloads predominantly on AMD server products: EPYC CPU, Instinct GPU, and Pollara network cards

Liaise with and advise customers and partners through Proof of Concepts, presentations, and training. Support RFP responses

Engineering: execute popular and customer-specific workloads, generate results. Characterize application performance on AMD products. Understand how system and software choices affect performance. Compare performance to our competition. Model projected performance based on future hardware specifications

Build a body of documentation for internal and external dissemination: AMD-internal guides, whitepapers, tuning guides, training collateral

Proactive engagement across AMD teams: CPU/GPU/Network Business Units, 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 strategies

Technically owning and resolving customer and partner issues. Submitting JIRA tickets and driving resolution

Qualification

Application performance characterizationServer system architectureLinux system administrationProfiling tools utilizationBenchmarkingPublic cloud IaaS experienceContainerized applications deploymentDocumentationPrioritization skillsCommunication skillsPositive attitude

Required

Customer-facing experience and enjoy collaborating with customers and partners; able to communicate at a level appropriate from CxO to engineer

Solid understanding of server system architecture (CPU, DRAM, PCI, BIOS)

Comfortable with basic Linux system administration (high level of comfort setting up and managing a Linux-based system, troubleshooting, configuring boot parameters, kernel parameters, etc.)

Demonstrated capability to run benchmarks and generate repeatable results, and to document the methodology and results for reproducibility

Proficient in utilizing profiling tools (e.g. Linux Perf, vendor proprietary tools) to characterize application performance

Strong positive can-do attitude and willingness 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

Preferred

Knowledge of CPU pinning, NUMA optimization, I/O tuning (both disk and network)

Experience identifying how silicon / CPU features affect performance of Spark or database workloads (e.g. where does clock speed help? Where does memory latency help? Where does L2 cache size help? Etc.) - explain observed performance, not just report on it

Experience with public cloud Infrastructure as a Service offerings - Azure, AWS, Google and/or Oracle Cloud

Understand how the software stack affects performance: frameworks, precision, compilers, libraries, and other accompanying middleware applications

Experience deploying containerized applications in Kubernetes

Hands-on AI experience within automotive, finance, enterprise, defense verticals

Application experience compiling codes from source (e.g. HPC)

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

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

Government level security clearance