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THE ROLE:
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 Japan and will require some travel to customers and conferences both nationally and internationally.
THE PERSON:
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- 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
- Fluent Japanese & Good English skills
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 ‘POCs’, presentations, and training. POCs can be application or system/MLops oriented
- 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 (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.
- Fluent Japanese & Good English skills
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
LOCATION:
Tokyo, Japan
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AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.