WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. 

AMD together we advance_

THE ROLE:

We are seeking a highly skilled Technical Marketing Director in our Technical Product Management team to lead the strategy, development, and execution of our network infrastructure products. This role is crucial in designing, developing, and managing scalable, high-performance networks, with an emphasis on supporting GPU clusters for advanced computing applications. The ideal candidate will have a strong background in networking technologies, experience with high-bandwidth, low-latency environments, and a deep understanding of how networks support distributed GPU clusters for AI, ML, and HPC workloads.

KEY RESPONSIBILITIES:

• Product Strategy & Roadmap: Lead the development and execution of the product roadmap for networking infrastructure, focusing on scalability, reliability, and performance, especially in relation to GPU cluster environments.
• Network Infrastructure Leadership: Drive the design and implementation of cutting-edge network solutions, ensuring optimal performance for HPC and GPU-based applications.
• Collaboration with Engineering Teams: Work closely with hardware and software engineering teams to ensure that network architectures meet the specific requirements for GPU clusters, including high-throughput and low-latency data transfers.
• Market & Customer Analysis: Conduct market research and engage with customers to understand needs, trends, and pain points in networking for GPU clusters. Translate these insights into product features and improvements.
• Cross-functional Leadership: Collaborate with other product teams, marketing, sales, and customer support to ensure successful product launches and ongoing product success.
• Vendor & Partner Management: Manage relationships with networking hardware and software vendors, ensuring that the latest technologies are integrated into the product.
• Budget & Resource Management: Oversee budgetary planning, resource allocation, and project timelines for the networking product line, ensuring the highest ROI and alignment with company goals.

KEY QUALIFICATIONS:

• Experience:
  • Expertise in network product management or a related technical leadership role.
  • Proven experience with networking technologies (e.g., TCP/IP, Ethernet, SDN, Infiniband).
  • Experience with high-performance networks for GPU clusters or HPC environments is highly desirable.
  • Deep understanding of networking challenges for AI/ML workloads, including data transfer speeds, network congestion, and latency considerations.
• Technical Skills:
  • Expertise in high-speed networking protocols and hardware.
  • Familiarity with cloud and on-premise infrastructure, including hybrid network environments.
  • Experience with GPU clusters for AI, deep learning, or scientific computing applications.
  • Knowledge of technologies such as RDMA (Remote Direct Memory Access), NVMe over Fabrics
• Leadership & Communication: Strong leadership, communication, and organizational skills. Ability to translate technical details into business value for stakeholders.
• Project Management: Proven ability to manage large-scale projects from concept through execution and deployment.

PREFERRED EXPERIENCE:

• Experience with cloud service providers (AWS, GCP, Azure) in relation to network design for GPU infrastructure.
• Hands-on experience with networking hardware and cluster orchestration tools.
• Strong understanding of software-defined networking (SDN) and network function virtualization (NFV).

ACADEMIC CREDENTIALS: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. MBA is a plus

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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.

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.

THE ROLE:

We are seeking a highly skilled Technical Marketing Director in our Technical Product Management team to lead the strategy, development, and execution of our network infrastructure products. This role is crucial in designing, developing, and managing scalable, high-performance networks, with an emphasis on supporting GPU clusters for advanced computing applications. The ideal candidate will have a strong background in networking technologies, experience with high-bandwidth, low-latency environments, and a deep understanding of how networks support distributed GPU clusters for AI, ML, and HPC workloads.

KEY RESPONSIBILITIES:

• Product Strategy & Roadmap: Lead the development and execution of the product roadmap for networking infrastructure, focusing on scalability, reliability, and performance, especially in relation to GPU cluster environments.
• Network Infrastructure Leadership: Drive the design and implementation of cutting-edge network solutions, ensuring optimal performance for HPC and GPU-based applications.
• Collaboration with Engineering Teams: Work closely with hardware and software engineering teams to ensure that network architectures meet the specific requirements for GPU clusters, including high-throughput and low-latency data transfers.
• Market & Customer Analysis: Conduct market research and engage with customers to understand needs, trends, and pain points in networking for GPU clusters. Translate these insights into product features and improvements.
• Cross-functional Leadership: Collaborate with other product teams, marketing, sales, and customer support to ensure successful product launches and ongoing product success.
• Vendor & Partner Management: Manage relationships with networking hardware and software vendors, ensuring that the latest technologies are integrated into the product.
• Budget & Resource Management: Oversee budgetary planning, resource allocation, and project timelines for the networking product line, ensuring the highest ROI and alignment with company goals.

KEY QUALIFICATIONS:

• Experience:
  • Expertise in network product management or a related technical leadership role.
  • Proven experience with networking technologies (e.g., TCP/IP, Ethernet, SDN, Infiniband).
  • Experience with high-performance networks for GPU clusters or HPC environments is highly desirable.
  • Deep understanding of networking challenges for AI/ML workloads, including data transfer speeds, network congestion, and latency considerations.
• Technical Skills:
  • Expertise in high-speed networking protocols and hardware.
  • Familiarity with cloud and on-premise infrastructure, including hybrid network environments.
  • Experience with GPU clusters for AI, deep learning, or scientific computing applications.
  • Knowledge of technologies such as RDMA (Remote Direct Memory Access), NVMe over Fabrics
• Leadership & Communication: Strong leadership, communication, and organizational skills. Ability to translate technical details into business value for stakeholders.
• Project Management: Proven ability to manage large-scale projects from concept through execution and deployment.

PREFERRED EXPERIENCE:

• Experience with cloud service providers (AWS, GCP, Azure) in relation to network design for GPU infrastructure.
• Hands-on experience with networking hardware and cluster orchestration tools.
• Strong understanding of software-defined networking (SDN) and network function virtualization (NFV).

ACADEMIC CREDENTIALS: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. MBA is a plus

#LI-DC1

#LI-HYBRID