Jobs in the United States

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Added 1 min ago
IT Operations Engineer
Harvard University
Cambridge, MA
The IT Operations Engineer supports end-user computing, Microsoft Windows environments, Active Directory, Microsoft 365, network connectivity, firewalls, switches, wireless networks,…
Added 4 mins ago
Battery System Quality Engineer
Apple
Austin, TX
…from early prototypes to post-release phases.You’ll develop automation and analysis tools as required as well as analyze data and present to cross-functional partner…
Added 4 mins ago
WI
Software Engineer III - Full Stack
Walmart Inc.
Bentonville, AR
- $90,000 to $180,000 USD / year
We’re looking for a Full Stack Engineer who is passionate about building impactful solutions across the entire technology stack - from intuitive user experiences to scalable backend…
Added 4 mins ago
WI
(USA) Staff, Software Engineer
Walmart Inc.
United States
- $143,000 to $286,000 USD / year
Walmart is seeking a Staff Software Engineer to lead the development and delivery of scalable platform capabilities, including infrastructure, tooling, and AI/ML frameworks. This role…
Added 5 mins ago
SF
Forward Deployed Engineer
Spring Fertility
San Francisco, CA
- $150,000 to $180,000 USD / year
The Forward Deployed Engineer will serve as the bridge between technology and the business. This highly cross-functional role combines software engineering, AI implementation, systems…
Added 5 mins ago
Process Engineer
Amsted Industries
Petersburg, VA
Process Engineer | Amsted Rail – Petersburg, VA | Bearings Division | Forge Engineering
Added 5 mins ago
Senior Electrical Engineer
Proserv
Houston
Must have the
Added 6 mins ago
Associate Manager, Agentic AI Engineer
Avanade Inc. Company
United States
The Agentic AI Engineer designs, develops, integrates, and operationalizes enterprise AI agents using Microsoft Foundry and Microsoft Copilot Studio. This role combines software…
Added 7 mins ago
Rhapsody Integration Engineer
ExecRecruitment
Remote, United States
…applications and infrastructure, assist with troubleshooting and automation, and play a key role in planning and guiding a modernization effort for legacy systems. The resource will also…
Added 7 mins ago
Systems Development Engineer - Storage Systems Team, S3 Storage Systems Team
Amazon Data Services, Inc.
Denver, CO
…we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have…
Added 8 mins ago
A
Labview Software Engineer
Actalent
Poway, CA
- $60 to $70 USD / hour
Job Title: Software EngineerJob DescriptionThe Software Engineer designs, develops, and maintains automated test software, reporting, and database solutions that support production and…
Added 8 mins ago
A
Test Engineer
Actalent
Eden Prairie, MN
- $40 to $55 USD / hour
Hands-on experience with LabVIEW for test control, automation, and data acquisition.
Added 8 mins ago
A
Materials And Process Engineer
Actalent
Austin, TX
- $60 to $68 USD / hour
Analyze performance data to identify bottlenecks and drive continuous improvement in flow efficiency and automation performance.
Added 11 mins ago
ASIC DFT Engineer
LSI Corporation
United States
Proficiency in scripting and automation (such as Python, TCL, or C++), with an emphasis on applying AI-augmented development to streamline test flows.
Added 11 mins ago
ASIC DFT Engineer
LSI Corporation
United States
Proficiency in scripting and automation (such as Python, TCL, or C++), with an emphasis on applying AI-augmented development to streamline test flows.
Added 11 mins ago
ASIC DFT Engineer
LSI Corporation
United States
Proficiency in scripting and automation (such as Python, TCL, or C++), with an emphasis on applying AI-augmented development to streamline test flows.
Added 11 mins ago
ASIC DFT Engineer
LSI Corporation
United States
Proficiency in scripting and automation (such as Python, TCL, or C++), with an emphasis on applying AI-augmented development to streamline test flows.
Added 11 mins ago
ASIC DFT Engineer
LSI Corporation
United States
Proficiency in scripting and automation (such as Python, TCL, or C++), with an emphasis on applying AI-augmented development to streamline test flows.
Added 11 mins ago
Staff AI Systems Thermal Engineer
Avago Technologies Wireless (U.S.A.) Manufacturing LLC
United States
Lab Instrumentation: Experience with thermal data acquisition systems, flow meters, pressure transducers, and lab automation (Python, MATLAB, or LabVIEW).
Added 12 mins ago
Sr. Data Engineer (Python, SAS, SQL)
Fidelity Technology Group, LLC
Covington, KY
As a Senior Data Engineer, you will develop and maintain reporting and data solutions that support Fidelity's Defined Contribution Record Keeping business. This role is focused on building…
Added 12 mins ago
Product Manager, GTM AI Systems
Zip
San Francisco, CA
…gets done, then write what gets built - the process flow, the data flow, the spec, the success criteria - and prototype it, so our GTM engineers build the right thing the first…
Added 13 mins ago
RM
Senior AI Engineer
Rex Moore Group, Inc.
Remote, United States
- $180,000 to $200,000 USD / year
Integrate: Connect business systems, including our new ERP and CRM, using APIs, webhooks, workflow automation platforms and Python, and keep data clean at the source
Added 18 mins ago
Data Engineer III
FedEx Dataworks
Plano, TX · Memphis, TN · Coraopolis, PA
The Data Engineer III plays a pivotal role within Dataworks, focused on driving engineering innovation within Dataworks, helping define and build the Dataworks organization and leading the…
Added 20 mins ago
Sr. Director, DevOps
Veeam Software
San Jose, CA
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at…
Added 20 mins ago
CSA - Field Engineer (Early Career Hire)
Bechtel
Portland, TX
Must be willing to work a flexible schedule if required, including, but not limited to nightshift, split shift, or day shift · Must have the ability to walk into and out of the project (enter/egress)

Advanced Micro Devices, Inc

HPC & AI Infrastructure Engineer

San Jose, CA, United States

Apply on careers.amd.com About employer

Applications open in a new tab.

Job details

Apply by: Nov 11, 2027
Posting language: English
Posted: Nov 11, 2026

Original job description

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:

We are seeking an HPC & AI Infrastructure Engineer to join AMD IT’s Compute Platforms Engineering team. You will help design, deploy, automate, and operate CPU and GPU infrastructure supporting high-performance computing, distributed AI training, and inference workloads across on-premises and cloud environments. This role involves delivering infrastructure engineering projects, troubleshooting complex systems issues, and improving platform performance, scalability, and reliability. You will collaborate with architects, operations teams, researchers, network engineers, cloud partners, and technology vendors to bring new capabilities into production.

THE PERSON:

You enjoy solving complex systems problems and building reliable infrastructure. You approach troubleshooting using data and systematic analysis and look for opportunities to simplify operations through automation. You can work effectively both independently and collaboratively, communicate technical information clearly, and partner with colleagues across functions, regions, and time zones. You are comfortable seeking input when decisions affect broader platform architecture or other teams.

KEY RESPONSIBILITIES:

Deploy, configure, and maintain Linux-based CPU and GPU clusters following established architecture and security standards.
Administer Slurm and Kubernetes environments, including scheduling, resource allocation, access controls, and workload troubleshooting.
Support distributed AI training and inference platforms by managing software environments, containers, and workload deployments.
Automate infrastructure provisioning, configuration, and lifecycle management using infrastructure as code, configuration management, and scripting.
Validate hardware, BIOS, firmware, GPU drivers, and runtime compatibility and support upgrades through testing, rollback planning, and user communication.
Configure and troubleshoot host networking for HPC and GPU workloads, including high-speed NICs, RDMA interfaces, IP addressing, VLANs, MTU settings, and routing.
Partner with network engineering teams to deploy and validate RoCEv2 or InfiniBand fabrics, including connectivity, congestion management, and end-to-end RDMA performance.
Troubleshoot issues across compute, GPU, networking, storage, virtualization, and container environments.
Conduct cluster acceptance testing and workload benchmarking to identify bottlenecks and improve performance, utilization, and reliability.
Implement monitoring, dashboards, and alerts and contribute to incident resolution, root-cause analysis, and preventive improvements.
Apply security updates and support vulnerability remediation in partnership with security and operations teams.
Create and maintain technical documentation, operating procedures, and deployment runbooks.
Collaborate with infrastructure partners, cloud providers, and hardware vendors to deliver projects and resolve technical issues.

PREFERRED EXPERIENCE:

Candidates are not expected to have experience with every technology listed below. Relevant skills may be developed through professional experience, education, training, or other technical pathways.

Experience supporting Linux systems, HPC infrastructure, cloud platforms, GPU infrastructure, or distributed computing environments.
Experience deploying, configuring, supporting, or operating HPC or GPU clusters.
Linux administration and troubleshooting experience across operating systems, networking, storage, and system performance.
Experience with Slurm, Kubernetes, or comparable workload scheduling and orchestration platforms.
Experience supporting GPU drivers, containerized GPU workloads, or accelerator software stacks. Familiarity with AMD Instinct GPUs, ROCm, RCCL, or comparable technologies is beneficial.
Familiarity with distributed computing concepts such as MPI, collective communication, and multi-node training.
Experience working with high-speed Ethernet, InfiniBand, or comparable cluster networking technologies.
Familiarity with RDMA and RoCEv2 concepts, including queue pairs, priority flow control (PFC), explicit congestion notification (ECN), and their relationship to fabric performance.
Familiarity with leaf-spine topologies, fabric oversubscription, ECMP, and the impact of network latency, bandwidth, and congestion on distributed workloads.
Experience troubleshooting or supporting high-speed cluster interconnects such as RoCEv2 or InfiniBand.
Familiarity with Kubernetes networking technologies for GPU workloads, including CNI plugins, SR-IOV, or RDMA device plugins, is beneficial.
Experience with shared or parallel storage technologies such as NFS, Lustre, BeeGFS, IBM Storage Scale, Weka, or comparable technologies.
Experience using Python, Bash, or comparable scripting languages for infrastructure automation.
Familiarity with configuration management and infrastructure-as-code technologies such as Ansible, SaltStack, Terraform, or comparable tools.
Experience with Git-based workflows and monitoring or observability technologies such as Prometheus, Grafana, or comparable platforms.
Experience with cloud infrastructure such as OCI, Microsoft Azure, AWS, specialized GPU cloud providers, or comparable environments.
Familiarity with virtualization technologies such as KVM is beneficial.
Familiarity with AI frameworks and inference technologies such as PyTorch, vLLM, SGLang, or comparable technologies is beneficial.
Ability to troubleshoot complex technical issues, organize competing priorities, communicate technical information clearly, and collaborate across engineering and operations teams.

ACADEMIC CREDENTIALS:

Bachelor’s or master’s degree in computer science, Computer Engineering, or a related field or an equivalent combination of education and relevant professional experience.

This role is not eligible for visa sponsorship.

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.

Apply on careers.amd.com About employer

More about this job

Skills

Troubleshooting
Linux
Security regulations
Kubernetes
Scheduling
Infrastructure as code
Firmware
Communication skills
Troubleshoot
Detect bottlenecks
Root cause analysis
Documentation
Distributed computing
Python
Bash
Ansible
IBM Terraform
Git
Prometheus
Grafana
Microsoft Azure
AWS
PyTorch
Computer science
Computer engineering

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Work requirements

Jobs in the United States