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Back AI Application Engineer Manager (Customer Facing)JOB_DESCRIPTION.SHARE.HTMLCAROUSEL_PARAGRAPHJOB_DESCRIPTION.SHARE.HTMLTokyo, Japan Sales / Marketing71364mail_outline Get future jobs matching this search Loginor Register Job Description WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. 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 GPUsbroader engineering investigations to understand both performance and characteristic performance across popular and customer-specific training and inference workloads. Understand competitive positioningcreating 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:Does this sound familiar? We'd love to talk!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 characteris
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About AMD

AMD
PublicA semiconductor company that designs and develops graphics units, processors, and media solutions
10,001+
Employees
Santa Clara
Headquarters
Reviews
3.5
25 reviews
Work Life Balance
3.2
Compensation
4.1
Culture
3.6
Career
3.4
Management
3.1
65%
Recommend to a Friend
Pros
Good compensation and benefits
Positive work environment
Great management and coworkers
Cons
Poor work life balance
Micromanagement and excessive tracking
Too much pressure and workload
Salary Ranges
6 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Graphic Designer L2
0 reports
$162,512
total / year
Base
$65,005
Stock
$81,256
Bonus
$16,251
$113,758
$211,266
Interview Experience
5 interviews
Difficulty
3.6
/ 5
Duration
14-28 weeks
Offer Rate
60%
Experience
Positive 20%
Neutral 20%
Negative 60%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
Hiring Manager Interview
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
System Design
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