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Open nowPosted 7 hours ago

Senior Network Engineer – GPU Cluster Networking

AMD1,263 open roles

Where
San Jose, California, United States
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Your applicationOpen nowSenior Network Engineer – GPU Cluster NetworkingAMD · San Jose, California, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on AMD's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.0% of postings close within 7 days. Measured by our own scanner across the market. AMD postings stay open a median of 38 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 8.0%7 days
  4. 15.0%14 days
  5. 34.2%30 days
This job: posted 7 hours ago

AMD median: 38 days open

The posting

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.

THE ROLE:

Join AMD's IT Systems Engineering team and help build the networking foundation powering some of the world's most advanced AI and high-performance computing environments. In this role, you will design, automate, scale, and operate high-performance networks supporting AMD Instinct GPU clusters used for AI training, inference, and HPC workloads. Working closely with AI, platform, systems, and data center engineering teams, you will influence next-generation network architecture, optimize end-to-end infrastructure performance, and help shape the future of accelerated computing at AMD. This role also supports AMD's global campus networking environment spanning locations around the world.

THE PERSON:

You are a collaborative, results-oriented engineer who thrives in fast-paced, complex environments. You enjoy solving challenging technical problems, building strong partnerships, and driving operational excellence. You communicate effectively across teams, influence technical decisions through data and sound engineering practices, and are passionate about delivering scalable, reliable solutions that enable business success.

KEY RESPONSIBILITIES:

  • Design, deploy, operate, and continuously improve data center networks supporting large-scale AI and HPC environments.
  • Develop scalable network architectures and optimize performance across compute, storage, and networking infrastructure.
  • Automate network operations and implement solutions that improve reliability, efficiency, and scalability.
  • Lead troubleshooting, incident response, root cause analysis, and continuous improvement initiatives.
  • Plan and execute network expansions, technology upgrades, and infrastructure migrations.
  • Support and enhance global campus networking technologies including wireless, LAN, WAN, and SD-WAN environments.
  • Partner with cross-functional engineering and operations teams to deliver highly available network solutions.

PREFERRED EXPERIENCE:

  • Experience designing and operating large-scale data center networks supporting AI, GPU, HPC, cloud, or distributed computing environments.
  • Strong understanding of modern networking technologies including Ethernet fabrics, BGP, ECMP, QoS, EVPN, VXLAN, and related routing and switching protocols.
  • Experience with RoCEv2, RDMA, network performance optimization, observability, monitoring, and troubleshooting.
  • Experience with network automation, scripting, infrastructure-as-code, or operational tooling.
  • Experience with enterprise and data center networking platforms such as Juniper, Cisco, Arista, Aruba, ClearPass, Aruba Central, Silver Peak, Infoblox, or similar technologies.
  • Experience collaborating across infrastructure, platform, systems, and data center engineering teams.

ACADEMIC CREDENTIALS:

  • Bachelor's or Master's degree in Computer Engineering, Computer Science, Information Technology, or a related field, or equivalent practical experience.
  • CCIE or comparable advanced networking certifications are valued.

LOCATION:

San Jose, CA or Austin, TX

This role is not eligible for visa sponsorship.

#LI-BS1

#LI-HYBRID

Benefits offered are described: AMD benefits at a glance.

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.

THE ROLE:

Join AMD's IT Systems Engineering team and help build the networking foundation powering some of the world's most advanced AI and high-performance computing environments. In this role, you will design, automate, scale, and operate high-performance networks supporting AMD Instinct GPU clusters used for AI training, inference, and HPC workloads. Working closely with AI, platform, systems, and data center engineering teams, you will influence next-generation network architecture, optimize end-to-end infrastructure performance, and help shape the future of accelerated computing at AMD. This role also supports AMD's global campus networking environment spanning locations around the world.

THE PERSON:

You are a collaborative, results-oriented engineer who thrives in fast-paced, complex environments. You enjoy solving challenging technical problems, building strong partnerships, and driving operational excellence. You communicate effectively across teams, influence technical decisions through data and sound engineering practices, and are passionate about delivering scalable, reliable solutions that enable business success.

KEY RESPONSIBILITIES:

  • Design, deploy, operate, and continuously improve data center networks supporting large-scale AI and HPC environments.
  • Develop scalable network architectures and optimize performance across compute, storage, and networking infrastructure.
  • Automate network operations and implement solutions that improve reliability, efficiency, and scalability.
  • Lead troubleshooting, incident response, root cause analysis, and continuous improvement initiatives.
  • Plan and execute network expansions, technology upgrades, and infrastructure migrations.
  • Support and enhance global campus networking technologies including wireless, LAN, WAN, and SD-WAN environments.
  • Partner with cross-functional engineering and operations teams to deliver highly available network solutions.

PREFERRED EXPERIENCE:

  • Experience designing and operating large-scale data center networks supporting AI, GPU, HPC, cloud, or distributed computing environments.
  • Strong understanding of modern networking technologies including Ethernet fabrics, BGP, ECMP, QoS, EVPN, VXLAN, and related routing and switching protocols.
  • Experience with RoCEv2, RDMA, network performance optimization, observability, monitoring, and troubleshooting.
  • Experience with network automation, scripting, infrastructure-as-code, or operational tooling.
  • Experience with enterprise and data center networking platforms such as Juniper, Cisco, Arista, Aruba, ClearPass, Aruba Central, Silver Peak, Infoblox, or similar technologies.
  • Experience collaborating across infrastructure, platform, systems, and data center engineering teams.

ACADEMIC CREDENTIALS:

  • Bachelor's or Master's degree in Computer Engineering, Computer Science, Information Technology, or a related field, or equivalent practical experience.
  • CCIE or comparable advanced networking certifications are valued.

LOCATION:

San Jose, CA or Austin, TX

This role is not eligible for visa sponsorship.

#LI-BS1

#LI-HYBRID

Benefits offered are described: AMD benefits at a glance.

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.

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