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Advanced Micro Devices, Inc
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Senior AI Application Engineer, Customer Facing

Senior AI Application Engineer, Customer Facing

Advanced Micro Devices, Inc

3 - 7 years

11 - 15 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

c++ jira middleware rfp gaming automotive python recruitment technical documentation

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking an AI Application Engineer to join the HPC Centre of Excellence (HPC CoE). The role broadly involves;

working with customers and partners in support of RFP-driven requests. Providing hands-on support to customers and partners to enable their AI workloads to run on AMD Instinct datacentre GPUs
broader engineering investigations to understand both performance and characteristic performance across popular and customer-specific training and inference workloads. Understand competitive positioning
creating a body of technical documentation of AI performance on AMD hardware to support the Field Application team, partners, and customers
This is a hand-on technical role and we are looking for an individual with an established background in AI who is already familiar in executing and tuning training and inference workloads. In addition to the technical aspect you will also need to be able to create and deliver presentations and training both remotely and in person to our customers and partners.
AMD continues to ramp its in-house AI expertise, and as such this role provides an opportunity for the candidate to grow within the role while creating a significant impact on the wider business, with significant visibility to executive level within AMD.
The role is based within India and will require some travel to customers and conferences both nationally and internationally.

THE PERSON:

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 verbal and written communication skills
Open to travel both domestic and international, approximately 10-20% over a year
Good English

KEY RESPONSIBILITIES:

Support winning new AI business. Enabling customers to execute their AI workloads on AMD Instinct GPUs and EYC CPUs. Supporting partners in RFP responses by testing requested workloads.
Liaise 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. 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

PREFERRED EXPERIENCE:

Demonstrated experience with training and inference workloads on GPUs
Executing applications in common frameworks (Pytorch, Tensorflow, Jax).
Any experience with popular AI repositories (eg HuggingFace, MLperf) and understanding derived performance/functionality differences between them
Proven understanding of baseline testing of popular AI applications (eg Resnet, BERT, DLRM, etc) and other real world codes such as Large Language Models, image detection, NLP, recommendation engines etc
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.

Nice to Haves:

Hands-on AI experience within automotive, finance, enterprise, 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
Government level security clearance

ACADEMIC CREDENTIALS:

Bachelors Degree in a technical field (Computer Science, Electrical Engineering, Physics, Mathematics) preferred

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