Advanced Micro Devices, Inc

Technical Marketing Engineer - AI Training Workloads & Performance

Advanced Micro Devices, Inc • $120K — $160K *
Santa Clara, CA 95051In-Person
Enterprise Technology
5 - 7 years of experience
Reposted Yesterday
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Job Overview by Ladders

Qualifications

  • 5+ years experience optimizing AI training workloads on GPUs or accelerators at scale.
  • Hands-on experience with distributed training frameworks like PyTorch or DeepSpeed.
  • Strong programming skills in Python and/or C/C++.
  • Experience with GPU compute stacks such as ROCm or CUDA.
  • Proven ability to create high-quality technical documentation and performance guides.

Responsibilities

  • Partner with AI software engineering to develop performance-focused technical content.
  • Serve as a subject matter expert on AI training performance across the model lifecycle.
  • Develop and publish deep technical content for training workloads.
  • Analyze and optimize training performance across system dimensions.
  • Engage with experts to validate performance claims against real-world scenarios.

Benefits

  • Comprehensive health and wellness programs.
  • Generous paid time off and holiday schedules.
  • Opportunities for professional development and growth.
  • Employee resource groups promoting diversity and inclusion.
  • Retirement savings options with company match.
Full Job Description
THE ROLE:

AMD is committed to delivering exceptional AI training performance across the full model lifecycle. Ease of use, clarity, and strong technical enablement are core to how our customers succeed with AMD technologies. As a Technical Marketing Engineer (TME) within the Software Product Management organization for AMD's Data Center GPU Business Unit, you will play a critical role in helping customers achieve optimal performance and efficiency when training and adapting models on AMD Instinct GPUs.

In this role, you will bridge deep technical expertise with clear communication, helping customers, partners, and internal teams understand how AMD GPUs unlock performance and value across AI training workloads and industry benchmarks. Your work will ensure customers can get productive quickly, supported by high-quality documentation, performance insights, and hands-on examples that remove friction and accelerate adoption.

THE PERSON:

Are you an engineering expert with a talent for pushing AI training workloads to the limits? Are you passionate about optimizing large-scale model training, understanding distributed systems, and analyzing performance bottlenecks across complex environments?

We seek someone who thrives at the intersection of performance engineering and technical storytelling-someone who can deeply understand AI training workloads and communicate practical strategies to improve performance, scalability, and efficiency.

KEY RESPONSIBLITIES:
  • Partner with AMD's AI software engineering team to develop performance-focused technical content for AI training workloads, including optimization guides, benchmarking results, scaling studies, and tuning methodologies.
  • Serve as a subject matter expert on AI training performance across the full model lifecycle, including:
    • Large-scale pre-training (foundation models)
    • Fine-tuning and parameter-efficient methods (e.g., LoRA, PEFT)
    • Reinforcement learning workflows (e.g., RLHF, RLAIF)
    • Distillation and model compression techniques
    • Quantization-aware training (QAT)
  • Develop and publish deep technical content for training workloads, including:
    • Performance analysis and bottleneck breakdowns
    • Scaling studies (single-node and multi-node)
    • Optimization guides for both pre-training and post-training workflows
    • Distributed training best practices (data/model/pipeline parallelism)
    • Workload-specific tuning strategies and competitive positioning insights
  • Analyze and optimize training performance across key system dimensions, including compute utilization, memory efficiency, communication overhead, and scaling behavior in distributed environments.
  • Engage with internal and external experts to validate performance claims against real-world scenarios and large-scale training runs.
  • Validate and analyze training performance results from internal benchmarks and customer proof-of-concept (POC) engagements, ensuring accuracy, reproducibility, and credibility.
  • Partner with engineering to translate low-level optimizations (kernels, communication patterns, memory usage) into actionable guidance and influence product improvements based on real-world workload feedback.
  • Stay current on industry training frameworks, distributed training strategies, and emerging techniques, identifying where AMD platforms deliver differentiated performance.
  • Act as a bridge between engineering, field teams (FAE/FDE), and business stakeholders, ensuring alignment on training performance capabilities, best practices, and messaging.
  • Design and deliver technical enablement (e.g., workshops, demos, technical sessions) to help internal teams and customers optimize AI training workloads.
  • Build deep empathy for the challenges faced by solutions architects and engineers deploying AMD GPUs, and create documentation that proactively removes barriers to adoption.
  • Actively gather and incorporate feedback from customers, field teams, and internal technical experts to continuously improve content quality and relevance.
  • Lead by example in documentation excellence, mentoring and influencing peers to raise the overall quality, consistency, and effectiveness of technical materials.
  • Communicate with clarity, integrity, and transparency across written, verbal, and visual formats


PREFERRED EXPERIENCE:
  • 5+ years optimizing AI training workloads on GPUs or accelerators at scale.
  • Hands-on experience with distributed training frameworks (e.g., PyTorch, DeepSpeed, Megatron-LM).
  • Strong programming skills in Python and/or C/C++.
  • Experience with ROCm, CUDA, or similar GPU compute stacks.
  • Experience working with ISVs, hyperscalers, or large-scale AI deployments.
  • Background in solution validation, benchmarking, or certification frameworks is highly desirable.
  • Proven ability to create high-quality technical documentation and performance guides.
  • Proven experience delivering technical presentations, workshops, or participating in industry conferences, meetups, or hackathons.
  • Expertise in modern documentation and publishing workflows, including Markdown, Read the Docs, and Jupyter Notebooks.
  • Proficiency with standard productivity and publishing tools (e.g., Microsoft Office, Adobe Acrobat) used for technical documentation and training delivery.
  • Confidence presenting complex technical material in customer-facing settings within a fast-paced, large-scale organization.

ACADEMIC CREDENTIALS
  • BS in Computer Science, Computer Engineering, Electrical Engineering, or a related field required, MS or PhD is a plus.


LOCATION

Santa Clara, CA

This role is not eligible for visa sponsorship.

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Benefits offered are described: AMD benefits at a glance.

About Advanced Micro Devices, Inc

Advanced Micro Devices, Inc. Careers

Join the innovative forefront of technology with a career at Advanced Micro Devices, Inc. (AMD), a leader in semiconductor development. As part of our global team, you will contribute to an organization renowned for its dedication to innovation, leadership, and diversity in the tech industry.

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At AMD, we offer job opportunities that push the boundaries of what is possible. Our team is composed of professionals who lead the way in microprocessor and graphics technology, driving industry standards and innovation. With AMD, you will be part of a culture that values growth and professional development, ensuring that every team member has the opportunity to excel.

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AMD is not just about advancing technology, but also about advancing careers. Whether you are looking for an internship, a full-time position, or leadership roles, AMD provides the platform to propel your career to new heights. Our commitment to professional growth is matched by our dedication to diversity and inclusion, making AMD a place where everyone can thrive.

Innovative Work Environment

Join a team of over 12,000 dedicated professionals at the intersection of technology, industry expertise, and digital innovation. At AMD, you will work on groundbreaking projects that shape the future of computing and graphics. Our collaborative environment encourages networking and the sharing of ideas across teams and disciplines.

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AMD is committed to the development of its employees. We offer robust training programs, including leadership development and diversity training, to ensure our team is equipped for both current challenges and future opportunities. Our benefits package is designed to support the well-being and financial security of our employees and their families.

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Learn more about Advanced Micro Devices, Inc
Size
15,500 employees
Market Cap
$100.9 billion
Industry
Manufacturing & Automotive
Net Income
$2.4 billion
Founded
1969
5 Year Trend
+30.9%
Revenue
$9.7 billion
NASDAQ
AMD
* Ladders Estimates

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