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

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

Solutions Architect – Campus, DCN Switching & Routing

We are looking for a seasoned TME/Networking Solutions Architect with deep exper...

Location

China , Beijing

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Deep knowledge and hands-on experience in networking protocols: BGP, OSPF, EVPN, VXLAN, MCLAG, DRNI, ISSU, MACSec, DCI
Experience in Day 0 to Day 1 deployment of spine-leaf fabrics with any SDN controllers, micro segmentation, and service chaining
Working knowledge of automation and orchestration tools used in data center deployments
Familiarity with SDN controller architecture and integration with third-party services
Proven ability to engage with both technical and business stakeholders to design and defend high-impact networking solutions
Strong competitive knowledge of other vendor offerings — including campus solutions, 400G/800G switching platforms, and transceivers such as but not limited to QSFP-DD and OSFP
Excellent written and verbal communication skills
ability to create compelling documentation and technical collateral

Job Responsibility

Serve as a trusted technical advisor for customers across AI data centers, enterprise campus networks, and service provider environments — identifying technical requirements, resolving pain points, and showcasing HPE’s end-to-end networking capabilities
Architect and support AI-ready Ethernet data center deployments using leaf-spine topologies, EVPN-VXLAN overlays, and RoCEv2 fabrics optimized for GPU-based workloads
Lead and participate in customer-facing workshops, whiteboard sessions, and technical deep dives across campus switching, data center fabrics, and edge routing solutions
Conduct Proof of Concepts (PoCs) and hands-on validations to assess performance, scale, Day-0 automation, telemetry, and orchestration tools in both data center and campus environments
Create and maintain design guidelines, infrastructure blueprints, and best practices for performance-optimized and scalable networking deployments across AI DC, enterprise, and routers use cases
Collaborate with pre-sales and go-to-market teams to drive solution adoption and ensure alignment with customer needs and competitive differentiators
Contribute to RFP/RFI responses, creating comprehensive solution documentation including Bill of Materials (BoM), redundancy and topology planning
Work closely with product management and engineering, providing real-world field feedback to enhance product roadmaps around automation, telemetry, security, and feature development
Represent HPE at industry events, AI summits, and technology forums, highlighting the value of HPE’s networking portfolio in comparison to competitors
Stay ahead of the curve by tracking emerging trends, analysing the competitive landscape, and influencing internal strategies for next-gen network innovation

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Staff Strategic Sourcing Manager

Together AI is rapidly scaling its infrastructure, and we need a senior supply c...

Location

United States , San Francisco

Salary:

220000.00 - 260000.00 USD / Year

Together AI

Expiration Date

Until further notice

Requirements

7-10+ years of experience in hardware strategic sourcing, procurement, or supply chain management within data center infrastructure, cloud computing, or high-performance computing environments
Deep and direct experience with the full compute hardware stack (GPUs, servers, networking, storage), including expertise in major OEM/ODM supplier landscapes, semiconductor supply chain dynamics, and hands-on experience managing GPU sourcing and allocation at scale
Track record of personally leading and closing complex, high-value hardware deals. Experience structuring long-term supply agreements across pricing, delivery, and risk dimensions
Experience building supply chain models for technical hardware at scale: demand forecasting, inventory strategy, logistics coordination, and supply risk mitigation
Strong executive presence with the ability to partner with and influence C-level leaders, senior engineering teams, and cross-functional stakeholders. Comfortable presenting supply chain strategy and risk assessments to senior leadership
Advanced analytical skills with fluency in total cost of ownership modeling, financial trade-off analysis, and procurement performance metrics
Ability to travel to supplier sites
Must have recent experience in high-growth, ambiguous environments where processes are being defined rather than inherited

Job Responsibility

Lead the full strategic sourcing and procurement lifecycle for GPUs, servers, networking equipment, storage, and supporting components across large-scale cluster builds. Own sourcing, negotiation, contracting, delivery coordination, and acceptance
Negotiate and structure multi-million dollar supply agreements across several categories of hardware vendors. Secure pricing, volume commitments, lead times, and warranty terms that protect the company's cost position and supply continuity
Design and scale the company's hardware supply chain, including inventory planning, supplier diversification, and logistics. Build procurement infrastructure that keeps pace with rapid capacity expansion across multiple sites and geographies
Track GPU and data center commodity hardware markets for supply shifts, pricing dynamics, component roadmaps, and geopolitical risks. Translate market intelligence into sourcing recommendations and present findings to executive leadership. Optimize TCO
Own strategic supplier relationships and drive performance through regular executive reviews, joint planning, and clear accountability frameworks. Qualify and onboard new vendors as the hardware supply chain diversifies
Align supply chain strategy with technical roadmaps and capital plans. Provide visibility into supply chain status, risks, and investment trade-offs at the executive level
Stand up the supply chain tools, workflows, and reporting systems needed to manage hardware spending at scale, including cost tracking, order management, and vendor benchmarking

What we offer

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

Fulltime

Solutions Architect

TME/Solutions Architect – DCN Switching & Solution role at Hewlett Packard Enter...

Location

China , Beijing

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Deep knowledge and hands-on experience in networking protocols: BGP, OSPF, EVPN, VXLAN, MCLAG, DRNI, ISSU, MACSec, DCI, MPLS and SDN based solutions
Experience in Day 0 to Day 1 deployment of spine-leaf fabrics with any SDN controllers, micro segmentation, and service chaining
Working knowledge of automation and orchestration tools used in data center deployments
Familiarity with SDN controller architecture and integration with third-party services
Proven ability to engage with both technical and business stakeholders to design and defend high-impact networking solutions
Strong competitive knowledge of other vendor offerings including 100G/400G/800G switching platforms, transceivers and cables
Excellent written and verbal communication skills in English
Good presentation and event management skills

Job Responsibility

Serve as a trusted technical advisor for customers across AI data centers, and service provider and enterprise environments
Architect and support AI-ready Ethernet data center deployments using leaf-spine topologies, EVPN-VXLAN overlays, and RoCEv2 fabrics optimized for GPU-based workloads
Lead and participate in customer-facing workshops, whiteboard sessions, and technical deep dives across campus switching, data center fabrics, and edge routing solutions
Conduct Proof of Concepts (PoCs) and hands-on validations to assess performance, scale, Day-0 automation, telemetry, and orchestration tools
Create and maintain design guidelines, infrastructure blueprints, and best practices for performance-optimized and scalable networking deployments
Collaborate with pre-sales and go-to-market teams to drive solution adoption and ensure alignment with customer needs
Contribute to RFP/RFI responses, creating comprehensive solution documentation including Bill of Materials (BoM), redundancy and topology planning
Work closely with product management and engineering, providing real-world field feedback to enhance product roadmaps and feature development
Represent HPE at industry events, AI summits, and technology forums
Stay ahead of the curve by tracking emerging trends, analysing the competitive landscape, and influencing internal strategies for next-gen network innovation

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

Compute Partnerships Lead

We are looking for a Compute Partnerships Lead to architect and operate our glob...

Location

United States , San Francisco

Salary:

Not provided

Prime Intellect

Expiration Date

Until further notice

Requirements

3–7+ years in infrastructure partnerships, business development, commercial sourcing, or AI infrastructure strategy
Direct experience negotiating GPU/cloud/data center agreements strongly preferred
Strong understanding of AI workloads (training vs inference, memory constraints, networking, utilization economics)
Experience working cross-functionally with engineering and finance
High commercial discipline — comfortable modeling margin, utilization, and contract tradeoffs
Comfortable operating in constrained supply environments
Strong ownership mentality — you build systems, not just deals
Ability to travel and manage global partnerships across time zones

Job Responsibility

Develop and execute Prime Intellect’s global GPU sourcing strategy across H100/H200/B200-class infrastructure and beyond
Structure commercial agreements that balance cost, flexibility, term length, and growth optionality
Identify and evaluate infrastructure partners across hyperscalers, specialized AI clouds, data centers, colocation providers, and hardware vendors
Lead negotiations on pricing, SLAs, capacity reservations, expansion rights, and risk allocation
Continuously optimize blended gross margins through disciplined sourcing and contract structuring
Secure capacity for internal frontier RL research and model training
Coordinate closely with research and engineering teams to understand workload requirements (training vs inference vs long-context deployments)
Align capacity planning with enterprise deployment roadmaps
Ensure compute supply keeps pace with customer expansion and new model launches
Work with infrastructure, platform, and DevOps teams to ensure partner capacity is onboarded efficiently and runs reliably in production

What we offer

Competitive Compensation + equity incentives
Flexible Work (remote or San Francisco)
Visa Sponsorship and relocation support
Professional Development budget
Team off-sites and conference attendance
Opportunity to shape decentralized AI at Prime Intellect

Fulltime

Principal Engineer

The Senior Data Center Operations Engineer is responsible for the bedrock of our...

Location

United States , Santa Clara

Salary:

147000.00 - 237500.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, IT, or equivalent experience
5+ years of experience specifically operating Red Hat OpenShift (OCP) in a production environment
Deep experience racking/stacking and cabling high-density GPU systems (e.g., NVIDIA DGX or similar) and specialized AI/ML hardware
Advanced proficiency in Ansible or Pulumi for automating bare-metal provisioning and cluster configuration
Strong Python and Bash skills for developing custom health-check scripts and API integrations
Expert-level CoreOS and RHEL administration, including kernel tuning and systemd management
Solid understanding of BGP, VLAN tagging, LACP, and Load Balancing (F5/NGINX) essential for cluster ingress
Experience with vSphere or KVM, and persistent storage solutions like OpenShift Data Foundation (ODF) or Ceph
Familiarity with DCIM tools (Netbox) and monitoring stacks ( ELK/Lok ..etci)
Ability to lift and move equipment up to 50 pounds (e.g., high-density 2U/4U servers)

Job Responsibility

Design and development of a scalable distributed management plane infrastructure to manage Palo Alto Networks’ next-generation network security solutions
Ensure 99.99% availability by architecting resilient physical layouts and automating the deployment, scaling, and self-healing capabilities of our production clusters
Monitor and maintain data center systems with a focus on 'Zero Single Point of Failure' (ZSPoF) architecture for OpenShift control planes and worker nodes
Implement and manage OpenShift 4.x clusters across multiple power and cooling zones to ensure 99.99% uptime
Design, test, and execute automated failover strategies and backup/restore procedures using tools like OADP (Velero) and Red Hat ACM
Perform routine maintenance and upgrades using GitOps (ArgoCD) and the Machine Config Operator to ensure zero-downtime node evacuations and patching
Resolve deep-stack hardware and software issues, from faulty GPU firmware to OpenShift SDN (OVN-Kubernetes) network latencies
Coordinate with vendors for specialized hardware (e.g., NVIDIA, Dell, Cisco) while maintaining strict security and firmware compliance
Optimize rack density for high-performance GPU clusters while managing thermal loads and power distribution (PDU) to prevent circuit-trip outages
Maintain accurate documentation and integrate hardware health metrics (IPMI/SNMP) into Prometheus/Grafana for proactive alerting

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

Performance Infrastructure Engineer- Data Center GPU

AMD

Location:
United States , Santa Clara

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 19, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Performance Infrastructure Engineer- Data Center GPU