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Lead Technical Marketing Engineer – AI Workloads & Software

THE ROLE:

AMD is unwavering in our dedication to delivering an exceptional customer experience. We understand that ease of use and responsive customer support are essential ingredients in achieving this objective. As a valued member of the technical marketing engineering (TME) team in AMD’s Data Center GPU & Accelerated Processing product management organization, your role is pivotal in shaping and building the entire customer journey, from the very first point of contact through to development and mass production. You are entrusted with the crucial task of ensuring that our customers can hit the ground running, with clear and straightforward information about our products and software at their fingertips. Your contribution will play a vital part in cementing our reputation as a customer-centric company that is committed to excellence at every turn.

THE PERSON:

Are you a tech whizz with an engineering or programming background? Have you engaged directly with customers to get the most out of their AI workloads? If you are looking to grow and thrive on creating crystal-clear technical content and educating others, your place is with us. We're looking for someone who is not just tech-savvy but also a storyteller, eager to translate complex jargon into compelling tutorials, guides, and knowledge nuggets.

RESPONSIBILITIES:

Collaborate closely with AMD’s AI software engineering team to produce and update essential customer-facing content, ensuring it's both accessible and informative.
Gain expertise in AMD’s ROCm software and familiar ML frameworks such as TensorFlow and PyTorch, and use this knowledge to create outstanding documentation and training resources.
Design and manage a comprehensive library of technical materials, including manuals, guidebooks, application notes, and READMEs, to support and educate our customers on AMD's data center GPU solutions.
Stay current with software developments, updating and aligning documentation with the latest software releases to provide customers with relevant and practical information.
Generate well-documented code examples, recipes, and containers using AMD's ROCm stack to guide users in effectively running AI-centric tasks and benchmarks.
Proactively gather and integrate feedback from technical experts to ensure documentation meets real-world application and customer requirements.
Lead by example to improve the team's technical documentation capabilities, mentoring colleagues to achieve documentation excellence from initial development through to release.

KEY SUCCESS FACTORS & COMPETENCIES

Exhibit a relentless curiosity in technological advancements, coupled with the capacity to distill complex concepts into easy-to-understand communication.
Be an exemplary communicator — clear, concise, and engaging — infusing integrity and transparency into all forms of interaction.
Harness your passion for education to elucidate, enthrall, and empower your audience, whether it's through writing, problem-solving, or live interaction.
Adopt a 'customer-first' ethos, continually striving to not only meet but exceed customer expectations and be proactive in resolving issues to deliver a superior service experience.
Display proficiency in presenting technical information and feel comfortable stepping into the spotlight in a customer-centric environment, thriving in the dynamic expanse of a large organization.

PREFERRED EXPERIENCE:

Bring a wealth of experience (5+ years) to the table in running and optimizing AI workloads with GPU or AI accelerators at scale.
Show off your programming prowess in Python & C/C++, adhering to the highest standards of software design practices.
Demonstrate familiarity with documentation construction for software using tools like Read the Docs, MarkDown, and Jupyter Notebooks.
Have a proven track record of writing both explanatory and procedural content tailored for technical audiences.
Be well-versed with the suite of Microsoft Office, Adobe Acrobat, and other utilities pivotal in crafting and distributing customer documentation and training resources.
Boast hands-on experience with GPUs, FPGAs, or other machine learning accelerators, including a solid understanding of HIP, CUDA, ROCm, or OpenCL.
Possess a history of engagement with customers in high-tech sectors, particularly within hyperscale datacenter or high-performance computing (HPC) landscapes.

ACADEMIC CREDENTIALS:

BS in Computer Science, Computer Engineering, or Electrical Engineering required. MS or PhD a plus.

LOCATION:

Santa Clara, CA or remote. While this position allows for remote work, candidates located in Santa Clara, CA area are preferred for this role. Additionally, candidates based near AMD primary office locations of Austin, Vancouver, or Toronto will also be given priority.

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At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here.

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.

Technical Marketing Engineer – AI Workloads & ROCm Software Lead at AMD