Performance Infrastructure Engineer- Data Center GPU Job at AMD (Santa Clara)

Product Manager - AI Data Center Infrastructure

Product Manager - AI Data Center Infrastructure. We are seeking a Product Line M...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

5–10+ years of experience in data center networking, AI infrastructure, or HPC environments
Strong hands-on experience with Juniper QFX platforms and JunOS
Deep understanding of GPU architectures: NVIDIA: H100/H200, GB200/GB300, NVLink/NVSwitch AMD: MI300/MI400, Pollara NICs, Infinity Fabric
Proven expertise in scale-up GPU interconnects and scale-out Ethernet fabrics
Strong knowledge of RDMA/ROCEv2, ECN, PFC, and buffer management
Familiarity with distributed AI workloads, collective operations (NCCL, RCCL)
Hands-on troubleshooting experience with high-speed optics, AEC cables, link training, and NIC firmware
Proficiency in automation and scripting (Python, Ansible, Bash, Terraform)

Job Responsibility

AI Data Center & Fabric Architecture: Define product requirements for AI data center network architectures supporting thousands of GPUs
Develop requirements for low-latency Ethernet fabrics using Juniper QFX platforms and Apstra-based automation
Enable high-bandwidth GPU and NIC interconnects optimized for large-scale distributed training and inference workloads
GPU, NIC & Interconnect Strategy: Lead requirements definition for next-generation GPUs, NICs, and interconnect technologies, staying ahead of industry roadmaps
Drive alignment with NVIDIA and AMD ecosystems
Ensure interoperability across DAC, AEC, ACC, and optical transceivers between switches and NIC endpoints
Define scale-up paths using PCIe, NVLink, NVSwitch, ensuring GPU-to-GPU symmetry, consistency, and bandwidth determinism
Switching, Routing & Telemetry: Specify and optimize L2/L3 architectures, including EVPN-VXLAN, Class-E IPv4, and AI-optimized buffer tuning
Leverage hardware telemetry, streaming sensors, and analytics for proactive performance assurance
Drive automation using Python, Ansible, Apstra, Terraform, and related tools to enforce configuration consistency and compliance

What we offer

Health & Wellbeing: comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Personal & Professional Development: specific programs catered to helping you reach any career goals
Unconditional Inclusion: unconditionally inclusive in the way we work and celebrate individual uniqueness

Business Development Manager – HPE POD (Modular Data Center Solutions)

Develop and grow the HPE Modular Data Center (POD) and AI infrastructure busines...

Location

Japan , Tokyo

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s degree in engineering, computer science, or related technical field, or equivalent industry experience
Typically 8+ years of professional experience in data center infrastructure, HPC environments, modular infrastructure, or enterprise technology solutions
Experience in business development, solution sales, or infrastructure consulting within enterprise IT, cloud, or data center industries
Experience engaging with senior technical and executive stakeholders on infrastructure strategy and large-scale technology investments
Experience supporting complex infrastructure deals involving multiple stakeholders, partners, and delivery organizations
Strong understanding of modern data center architecture including modular data centers and containerized infrastructure, high-density GPU and HPC environments, liquid cooling and advanced thermal management, AI infrastructure and accelerated computing platforms, enterprise and hyperscale data center operations
Ability to translate complex technical infrastructure concepts into business value and strategic outcomes for customers
Strong commercial acumen with the ability to structure large infrastructure deals and navigate enterprise procurement processes
Experience working across multi-technology environments including compute, networking, storage, cooling systems, and facility infrastructure
Ability to develop scalable infrastructure solutions that enhance performance, efficiency, and time-to-deployment for AI and HPC workloads

Job Responsibility

Drive business development activities for HPE POD and modular data center solutions across targeted industries including AI, education, research, and enterprise environments
Identify, qualify, and develop new opportunities for modular data center deployments including AI factory infrastructure, HPC clusters, GPU environments, and edge data center solutions
Lead engagement with customers to understand technical, operational, and business requirements for large-scale data center deployments and translate these into POD-based solutions
Work closely with HPE account teams, solution architects, and partners to develop end-to-end proposals including infrastructure architecture, modular facility design, and lifecycle services
Act as a trusted advisor to customer executives, infrastructure teams, and decision makers on modern data center architecture, capacity scaling strategies, and AI-ready infrastructure
Coordinate cross-functional resources including engineering, supply chain, manufacturing partners, and delivery teams to ensure solutions are feasible, scalable, and aligned with customer timelines
Lead or support major proposal efforts and RFP responses for modular data center solutions, including technical positioning, commercial structuring, and value articulation
Support the creation of detailed solution architectures including modular data center configurations, cooling strategies (air and liquid)
Develop and maintain relationships with strategic ecosystem partners including cooling technology providers, modular construction manufacturers, and infrastructure integrators
Provide market intelligence and customer feedback to influence the evolution of the HPE POD portfolio

What we offer

Health & Wellbeing (comprehensive suite of benefits supporting physical, financial and emotional wellbeing)
Personal & Professional Development (programs to help reach career goals)
Unconditional Inclusion

Fulltime

Senior Infrastructure Engineer

We are seeking a highly skilled and motivated GPU Fleet Operations Engineer to j...

Location

United States , San Francisco; Sunnyvale

Salary:

183000.00 - 210000.00 USD / Year

Crusoe

Expiration Date

Until further notice

Requirements

Proven experience diagnosing and repairing high-density, rack-mounted compute hardware in production environments
Deep understanding of GPU architectures and hands-on experience with GPU-based systems
Experience supporting NVIDIA A100, H200, GB200, B200 and AMD 350X / 355X series platforms
Familiarity with high-speed interconnects such as InfiniBand, NVLink, and RDMA over Converged Ethernet (RoCE)
Strong Linux experience (Ubuntu, Rocky Linux, CentOS) using the command line for diagnostics and testing
Proficiency with GPU and system diagnostic tools such as NVIDIA DCGM and NVIDIA field diagnostic utilities
Experience working with enterprise server hardware, power delivery, and cooling systems
Strong analytical and problem-solving skills
Excellent communication and collaboration skills
Ability to work independently in a fast-paced data center or operations environment

Job Responsibility

Perform deep-level diagnosis and troubleshooting of hardware faults within GPU racks and high-density compute systems
Troubleshoot and support GPU platforms including NVIDIA A100, H200, GB200, B200 and AMD 350X / 355X
Execute component-level diagnosis and remediation for failed or degraded hardware
Partner with data center operations to manage and perform field-replaceable unit (FRU) repairs for GPUs, power supplies, cooling systems, interconnects, and networking hardware
Conduct post-repair validation, burn-in testing, torch testing, and NVIDIA NCCL testing to ensure system stability and performance
Implement and execute preventative maintenance procedures to improve fleet reliability and extend hardware lifespan
Perform firmware and BIOS upgrades across the GPU fleet
Maintain detailed documentation of maintenance activities, failures, and resolutions in ticketing and asset management systems
Develop and update standard operating procedures (SOPs) for troubleshooting, repair, and validation workflows
Collaborate with engineering, software, and data center operations teams to identify root causes of systemic failures and implement preventative solutions

What we offer

Restricted Stock Units in a fast growing, well-funded technology company
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability
Teladoc
401(k) with a 100% match up to 4% of salary
Generous paid time off and holiday schedule
Cell phone reimbursement
Tuition reimbursement

Fulltime

Senior Software Engineer - Together Cloud Infrastructure

Together AI is building the AI Acceleration Cloud, an end-to-end platform for th...

Location

United States , San Francisco

Salary:

160000.00 - 230000.00 USD / Year

Together AI

Expiration Date

Until further notice

Requirements

5+ years of professional software development experience and proficiency in at least one backend programming language (Golang desired)
5+ years experience writing high-performance, well-tested, production quality code
Demonstrated experience with building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP)
Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members
Deep experience with Kubernetes internals a big plus, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches thereon or Kubernetes itself
Deep experience with VMs/hypervisors a big plus, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV
Deep experience with DC networking tech + solutions a big plus, such as VLAN, VXLAN, VPN, VPC, OVS/OVN
Experience with Cluster API or similar a big plus
Experience working on high-performance compute, networking, and/or storage a big plus
Experience virtualizing GPUs and/or Infiniband a big plus

Job Responsibility

Design, build, and maintain performant, secure, and highly-available backend services/operators that run in our data centers and automate hardware management, such as Infiniband partitioning, in-DC parallel storage provisioning, and VM provisioning
Design and build out the IaaS software layer for a new GB200 data center with thousands of GPUs
Work on a global multi-exabyte high-performance object store, serving massive datasets for pretraining
Build advanced observability stacks for our customers with automated node lifecycle management for fault-tolerant distributed pretraining
Perform architecture and research work for decentralized AI workloads
Work on the core, open-source Together AI platform
Create services, tools, and developer documentation
Create testing frameworks for robustness and fault-tolerance

What we offer

competitive compensation
startup equity
health insurance
other benefits
flexibility in terms of remote work

Fulltime

Enterprise Territory Executive

AMD is seeking a high-impact Enterprise Territory Executive to drive growth acro...

Location

United States , Texas

Salary:

224560.00 - 336840.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Proven success selling enterprise technology solutions and consistently exceeding revenue objectives
Strong ability to build executive relationships and influence business and technology decision-makers
Strategic mindset with a track record of identifying, developing, and closing complex opportunities
Passion for emerging technologies including AI, cloud computing, data center modernization, and digital transformation
Strong consultative selling skills focused on customer outcomes and business value
Collaborative approach with the ability to work effectively across highly matrixed organizations
Excellent communication, presentation, and relationship-building skills
Willingness and ability to travel approximately 50%
Proven success selling Data Center, AI Infrastructure, Enterprise Compute, Cloud, Storage, Networking, or Commercial Client solutions into enterprise organizations
Demonstrated ability to consistently exceed sales targets and drive business growth

Job Responsibility

Develop and execute territory growth strategies that expand AMD's presence across enterprise customers throughout the Central U.S. region
Identify, qualify, and close opportunities that drive revenue growth, market share expansion, and long-term customer value
Build and maintain a healthy pipeline across Data Center, AI, Cloud, and Commercial Client opportunities
Develop territory plans that align customer priorities with AMD's strategic growth objectives
Build trusted advisor relationships with CIOs, CTOs, Chief Architects, Infrastructure Leaders, Procurement Organizations, and Line-of-Business stakeholders
Understand customer technology roadmaps, business priorities, and modernization initiatives
Position AMD solutions as strategic enablers of AI adoption, cloud transformation, infrastructure modernization, and workforce productivity
Drive adoption of AMD EPYC™ processors across virtualization, cloud, storage, enterprise applications, and high-performance computing workloads
Position AMD Instinct™ accelerators to support AI training, inference, advanced analytics, and emerging enterprise AI initiatives
Engage customers on AI infrastructure strategies, GPU acceleration, software ecosystems, and future workload requirements

What we offer

Benefits offered are described: AMD benefits at a glance.

Fulltime

Ai network engineer

We are seeking an experienced AI Network Engineer to support and optimize high-p...

Location

United States , Houston

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of experience in network engineering or infrastructure engineering
Hands-on experience with high-performance networking (InfiniBand, RDMA, RoCE)
Experience supporting GPU-based or HPC environments
Strong knowledge of data center networking (L2/L3, BGP, EVPN, VXLAN)
Familiarity with Linux systems and performance tuning
Experience with NVIDIA ecosystems (DGX, CUDA, NCCL, or similar)
Ability to diagnose low-latency and high-throughput network issues

Job Responsibility

Design, implement, and support high-performance networks for AI/ML workloads, including GPU clusters and distributed training environments
Deploy and optimize NVIDIA-based infrastructure (DGX systems, HGX platforms, or GPU clusters)
Configure and manage high-speed networking technologies such as InfiniBand, RoCE, and 100/200/400Gb Ethernet
Optimize network performance for east-west traffic, low latency, and large data throughput required for AI model training
Integrate NVIDIA software stack (CUDA, NCCL, GPU Cloud, AI Enterprise) with networking and compute environments
Troubleshoot performance bottlenecks across network, storage, and GPU interconnects
Collaborate with AI/ML engineers to ensure infrastructure meets training and inference demands
Support automation and infrastructure-as-code initiatives for scalable AI environments

What we offer

medical, vision, dental, and life and disability insurance
company 401(k) plan

Sr. Specialist Solutions Architect, High Performance Computing and Machine Learning

AWS Worldwide Specialist Solutions Architects (SSAs) are technologists with deep...

Location

Singapore , Singapore

Salary:

Not provided

Amazon

Expiration Date

Until further notice

Requirements

8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
3+ years of design, implementation, or consulting in applications and infrastructures experience
10+ years of IT development or implementation/consulting in the software or Internet industries experience

Job Responsibility

Design Customer Solutions – Collaborate with the wider AWS teams to help customers and partners architect HPC Solutions that leverage AWS Services
Engage with Solution Architects, Account Managers, Professional Services, and Partners to define an HPC Engagement strategy for AWS operational territories and key accounts, with emphasis on public sector National Super Computing Centers, Government agencies, and/or AI/ML, CAE, Weather and accelerated computing with GPU
Thought Leadership – Provide thought leadership on solutions that benefit customers through the use of AWS Services
Serve as a key member of the business development and accounting management team in helping to ensure customer success in building and migrating applications, software and services on the AWS platform
Assist solution providers with the definition and implementation of technical and business strategies
Capture and share best-practice knowledge amongst the worldwide AWS solution architect community
Understand AWS market segments, and industry verticals
Understand and exploit the use of internal business support systems

Fulltime

Technical Sourcing Manager - AI GPU & Cloud

The Global Technology Sourcing Team moves fast and leverages key partnerships to...

Location

United States , Menlo Park

Salary:

208000.00 - 289000.00 USD / Year

Select Country

Performance Infrastructure Engineer- Data Center GPU

Job Description

Job Responsibility

Requirements

Nice to have

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