AMD

Designs chips for computers and AI systems

Senior Manager IT Storage Engineering

System AdministrationConfirmed live in the last 24 hours

Full-timeNo salary listed

About the Job

Requirements

Strong leadership and people management skills, including the ability to mentor and grow high-performing teams.
Ability to communicate complex technical concepts as business outcomes for executive stakeholders.
Ability to manage stakeholders across Engineering, IT, Security, and Compliance.
Ability to balance innovation with pragmatic execution.
Problem-solving orientation focused on continuous improvement and operational excellence.
Customer-focused approach emphasizing user experience and service reliability.
Experience in enterprise storage and data protection across file, block, and object storage, including open, software-defined, and vendor-neutral storage ecosystems.
Expertise in high-performance storage solutions for EDA, HPC, and AI/ML workloads, including support for EDA tools such as Cadence, Synopsys, and Siemens EDA, or similar I/O-intensive systems.
Knowledge of NAS/SAN architectures, high-availability design, and storage networking, including FC, iSCSI, NFS, SMB, and S3.
Experience with backup and disaster recovery, including snapshots, replication, immutability, and air-gap strategies; familiarity with Rubrik and Commvault or similar data-protection platforms.
Hands-on experience with enterprise storage platforms such as NetApp ONTAP, Dell PowerScale/Isilon, HPE, IBM, VAST, and WEKA, and public cloud storage across Azure, AWS, GCP, and OCI.
Understanding of observability, performance tuning, and troubleshooting, including IOPS, latency, throughput, congestion, and multipathing; familiarity with Linux environments, NFS tuning, and AD/LDAP integration.
Engineering team-management experience, exposure to security and compliance frameworks including SOX, ISO, and NIST, and experience with data retention, legal hold, and change, incident, and problem-management processes.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

Responsibilities

Own and evolve the storage platform roadmap and reference architectures across file, block, object storage, and data protection, balancing EDA performance requirements with enterprise resilience, compliance, and cost goals across on-premises and cloud environments.
Lead storage design reviews for EDA workflows, including metadata-intensive and high-IOPS/low-latency build, test, simulation, and regression workloads, and design solutions supporting AI workloads, including greater than 5 TB/s training throughput.
Establish standard patterns for tiering, archiving, retention, immutability (WORM), and disaster recovery, including RPO/RTO, replication, and failover.
Ensure storage segmentation and isolation align with performance and security requirements, and align architectures with security, encryption, RBAC, audit logging, and data governance standards.
Own end-to-end storage and backup service delivery, including availability, performance, capacity, recoverability, and user experience; define and track SLAs/SLOs for latency, throughput, backup success, restore times, and replication health.
Lead major incident management, root-cause analysis, and corrective and preventive actions; develop and maintain runbooks, playbooks, and operational procedures with continuous-improvement loops.
Drive storage observability, monitoring, and performance optimization, and integrate storage platforms with enterprise tooling, including ServiceNow, CMDB, and observability platforms.
Lead automation initiatives using AI tools, Infrastructure as Code, and scripting, including Ansible, Terraform, Python, and PowerShell; enable automation across provisioning, quotas, snapshots, replication, and policy enforcement while promoting self-service models, standardized templates, and governance guardrails.
Own capacity planning, forecasting, cloud FinOps alignment, and TCO optimization; manage vendor relationships, contracts, renewals, RFPs, technology evaluations, and lifecycle management, including upgrades, refreshes, and decommissioning.
Manage and mentor onshore and offshore engineering teams, including hiring, performance management, and succession planning; foster a culture of reliability, automation, documentation, and partnership; act as the storage SME across Engineering, IT, InfoSec, Compliance, and Data teams; partner with application owners and communicate technical strategy, risks, and outcomes to executive leadership.

Desired Qualifications

A master’s degree is an asset.
Experience in enterprise storage and data protection across file, block, and object storage, including open, software-defined, and vendor-neutral storage ecosystems.
Expertise in high-performance storage solutions for EDA, HPC, and AI/ML workloads, including support for EDA tools such as Cadence, Synopsys, and Siemens EDA, or similar I/O-intensive systems.
Knowledge of NAS/SAN architectures, high-availability design, and storage networking, including FC, iSCSI, NFS, SMB, and S3.
Experience with backup and disaster recovery, including snapshots, replication, immutability, and air-gap strategies; familiarity with Rubrik and Commvault or similar data-protection platforms.
Hands-on experience with enterprise storage platforms such as NetApp ONTAP, Dell PowerScale/Isilon, HPE, IBM, VAST, and WEKA, and public cloud storage across Azure, AWS, GCP, and OCI.
Understanding of observability, performance tuning, and troubleshooting, including IOPS, latency, throughput, congestion, and multipathing; familiarity with Linux environments, NFS tuning, and AD/LDAP integration.
Engineering team-management experience, exposure to security and compliance frameworks including SOX, ISO, and NIST, and experience with data retention, legal hold, and change, incident, and problem-management processes.

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.Together, we advance your career.

THE ROLE:

Lead the strategy, architecture, and delivery of enterprise storage and data protection platforms supporting both EDA (Electronic Design Automation) and corporate workloads. This role is responsible for defining scalable, high-performance, and resilient storage solutions across datacenter and cloud environments, while ensuring alignment with business objectives, security, compliance, and cost optimization. The position also oversees operational excellence, innovation (including AI-scale workloads), and engineering team leadership.

THE PERSON:

Strong leadership and people management skills with the ability to mentor and grow high-performing teams
Excellent communication skills, with the ability to translate complex technical concepts into business outcomes for executive stakeholders
Collaborative mindset with strong stakeholder management across Engineering, IT, Security, and Compliance
Strategic thinker with a balance of innovation and pragmatic execution
Problem-solving orientation with a focus on continuous improvement and operational excellence
Customer-focused approach with an emphasis on user experience and service reliability

KEY RESPONSIBILITIES:

Own and evolve the storage platform roadmap and reference architectures across file, block, object storage, and data protection, balancing EDA performance requirements with enterprise resilience, compliance, and cost goals across on-premises and cloud environments.
Lead storage design reviews for EDA workflows, including metadata-intensive and high-IOPS/low-latency build, test, simulation, and regression workloads, and design solutions supporting AI workloads, including >5 TB/s training throughput.
Establish standard patterns for tiering, archiving, retention, immutability (WORM), and disaster recovery, including RPO/RTO, replication, and failover.
Ensure storage segmentation and isolation align with performance and security requirements, and align all architectures with security, encryption, RBAC, audit logging, and data governance standards.
Own end-to-end storage and backup service delivery, including availability, performance, capacity, recoverability, and user experience; define and track SLAs/SLOs for latency, throughput, backup success, restore times, and replication health.
Lead major incident management, root-cause analysis, and corrective and preventive actions; develop and maintain runbooks, playbooks, and operational procedures with continuous-improvement loops.
Drive storage observability, monitoring, and performance optimization, and integrate storage platforms with enterprise tooling, including ServiceNow, CMDB, and observability platforms.
Lead automation initiatives using AI tools, Infrastructure as Code, and scripting, including Ansible, Terraform, Python, and PowerShell; enable automation across provisioning, quotas, snapshots, replication, and policy enforcement while promoting self-service models, standardized templates, and governance guardrails.
Own capacity planning, forecasting, cloud FinOps alignment, and TCO optimization; manage vendor relationships, contracts, renewals, RFPs, technology evaluations, and lifecycle management, including upgrades, refreshes, and decommissioning.
Manage and mentor onshore and offshore engineering teams, including hiring, performance management, and succession planning; foster a culture of reliability, automation, documentation, and partnership; act as the storage SME across Engineering, IT, InfoSec, Compliance, and Data teams; partner with application owners and communicate technical strategy, risks, and outcomes to executive leadership.

PREFERRED EXPERIENCE:

Experience in enterprise storage and data protection across file, block, and object storage, including open, software-defined, and vendor-neutral storage ecosystems.
Proven expertise in high-performance storage solutions for EDA, HPC, and AI/ML workloads, including supporting EDA tools such as Cadence, Synopsys, and Siemens EDA, or similar I/O-intensive systems.
Deep knowledge of NAS/SAN architectures, high-availability design, and storage networking, including FC, iSCSI, NFS, SMB, and S3.
Strong experience with backup and disaster recovery, including snapshots, replication, immutability, and air-gap strategies, with familiarity with data protection platforms such as Rubrik and Commvault.
Hands-on experience with enterprise storage platforms such as NetApp ONTAP, Dell PowerScale/Isilon, HPE, IBM, VAST, and WEKA, as well as public cloud storage across Azure, AWS, GCP, and OCI.
Strong understanding of observability, performance tuning, and troubleshooting, including IOPS, latency, throughput, congestion, and multipathing; familiarity with Linux environments, NFS tuning, and AD/LDAP integration.
Engineering team-management experience, with exposure to security and compliance frameworks, including SOX, ISO, NIST, data retention, and legal hold, and experience with change, incident, and problem-management processes.

ACADEMIC CREDENTIALS:

Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
Master’s degree is an asset

ALTERNATE LOCATION:

Austin, TX

This role is not eligible for visa sponsorship.

#LI-TB1

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.

About the Company

AMD

Designs chips for computers and AI systems

AMD designs processors, graphics chips and AI accelerators for computer makers, cloud operators and businesses that build electronic devices. Its Ryzen processors power personal computers, while EPYC processors handle work in data centers and Radeon chips render graphics. Instinct accelerators run AI models, paired with software that developers use to train models and put them into production. AMD sells chips and related computing systems through equipment makers, distributors and retail channels, and contracts with outside foundries to fabricate its semiconductor designs. It was founded in 1969 and has its headquarters in Santa Clara, California.

Company size: 10,001+
Company stage: IPO
Headquarters: Santa Clara, CA
Founded: 1969

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