CrawlJobs Logo

Senior Manager, Performance AI/ML Network Deployment Engineering

amd.com Logo

AMD

Location Icon

Location:
United States , Santa Clara

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

210400.00 - 315600.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

The Senior Manager, DC GPU Advanced Forward Deployment and Systems Engineering is a leadership position designed to optimize the design, roll-out and post-rollout management of AI/ML Fabrics. The candidate will be the technical interface between the customers and various internal engineering groups, field application engineers Leveraging extensive experience in large network architecture, Storage, AI/ML network deployments, and performance tuning, this role requires a disciplined approach to system triage, at-scale debug, and infrastructure optimization to ensure robust performance and efficient transitions from GPU production qualification to at-scale datacenter deployment.

Job Responsibility:

  • Collaborate with strategic customers on scalable designs involving compute, networking, storage environment, work with industry partners, Internal teams to accelerate the deployment, adoption of various AI/ML models
  • Engage system-level triage and at-scale debug of complex issues across hardware, firmware, and software, ensuring rapid resolution and system reliability
  • Drive the ramp of Instinct-based large scale AI datacenter infrastructure based on NPI base platform hardware with ROCm, scaling up to pod and cluster level, leveraging the best in network architecture for AI/ML workloads
  • Enhance tools and methodologies for large-scale deployments to meet customer uptime goals and exceed performance expectations
  • Engage with clients to deeply understand their technical needs, ensuring their satisfaction with tailored solutions that leverage your past experience in strategic customer engagements and architectural wins
  • Provide domain specific knowledge to other groups at AMD, share the lessons learnt to drive continuous improvement
  • Engage with AMD product groups to drive resolution of application and customer issues
  • Develop and present training materials to internal audiences, at customer venues, and at industry conferences

Requirements:

  • Expertise in networking and performance optimization for large-scale AI/ML networks, including network, compute, storage cluster design, modelling, analytics, performance tuning, convergence, scalability improvements
  • Prefer candidates with solid, hands-on expertise in at least one or more of 3 domains, namely compute, network, storage
  • Experience in working with large customers such as Cloud Service Providers and global enterprise customers
  • Proven leadership in engaging customers with diverse technical disciplines in avenues such as Proof of Concept, Competitive evaluations, Early Field Trials etc
  • Direct experience in working with large customers and can operate with sense of urgency, own the problems and resolve it
  • Demonstrated leadership in network architecture, hands on experience in RoCEv2 Design, VXLAN-EVPN, BGP, and Lossless Fabrics
  • Proven ability to influence design and technology roadmaps, leveraging a deep understanding of datacenter products and market trends
  • Extensive hands-on Network deployment expertise and proven track record of delivering large projects on time. Cisco, Juniper or Arista experience is preferred
  • Direct, co-development/deployment experience in working with strategic customers/partners in bringing solutions to market
  • Excellent communication level from engineer to mid-management to C-level of audience
  • Bachelors, master's in computer science, Engineering or related subjects of experience
  • This is a Senior level role
  • no recent college graduates will be considered
  • Ability to work well in a geographically dispersed team
  • Certifications in Networking, AI/ML, or Cloud Technologies

Additional Information:

Job Posted:
December 17, 2025

Icon
AMD - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

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

Briefcase Icon

Similar Jobs for Senior Manager, Performance AI/ML Network Deployment Engineering

Senior DevOps Engineer (GCP)

Our client is a global UK-based financial services and investment banking organi...
Location
Location
Salary
Salary:
Not provided
n-ix.com Logo
N-iX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in DevOps, Cloud Engineering, or SRE roles
  • Strong hands-on experience with Google Cloud Platform, including: GKE / Kubernetes, Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage, VPC, IAM, networking, security
  • Expertise in Terraform, Helm, or other IaC tools
  • Experience building CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, Jenkins, etc.)
  • Strong understanding of containerization and orchestration: Docker, Kubernetes
  • Solid experience with monitoring, observability, and logging stacks
  • Familiarity with networking, load balancing, security hardening, and zero-trust principles
  • Experience supporting production systems in high-availability, distributed environments
  • Strong scripting skills (Python, Bash, or similar)
  • Experience working with agile engineering teams
Job Responsibility
Job Responsibility
  • Design, implement, and maintain cloud infrastructure on Google Cloud (GKE, Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage)
  • Build and optimize CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar)
  • Develop infrastructure-as-code using Terraform or similar tools
  • Set up and maintain container orchestration (Kubernetes, GKE) and automated deployment workflows
  • Implement monitoring, alerting, and observability using tools such as Prometheus, Grafana, ELK/Elastic, Stackdriver, or OpenTelemetry
  • Ensure compliance with security and governance standards across all environments
  • Collaborate closely with engineering teams to ensure scalable, high-performance deployment architectures
  • Support AI/ML and GenAI workloads (Vertex AI pipelines, model hosting, GPU workloads, inference optimization)
  • Manage environment strategies, release pipelines, configuration management, and secrets management
  • Optimize cloud costs and recommend improvements for performance and reliability
What we offer
What we offer
  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits
Read More
Arrow Right

Senior Devops & AI Engineer

This role presents a unique opportunity to contribute to the future of impactful...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
fissionlabs.com Logo
Fission Labs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, or related field
  • 6+ years of experience in Infrastructure Mgmt. roles, with a focus on cloud platforms (Azure and AWS Preferred)
  • Hands-on experience with operations (DevSecOps) principles and best practices
  • Proficiency in scripting languages such as Python, PowerShell, or Bash
  • Excellent communication and collaboration skills
  • In-depth knowledge of Linux operating systems, including CentOS, Ubuntu, and Red Hat, with expertise in shell scripting, package management, and system administration
  • Hands-on experience with a wide range of AWS and Azure services
  • Develop and maintain Infrastructure as Code (IAC) templates using tools such as Terraform or AWS CloudFormation
  • Experience setting up cloud infrastructure stack, databases, service endpoints, GPU as well as CPU resource scaling, optimization etc.
  • Should have worked AIOps/MLOP
Job Responsibility
Job Responsibility
  • Configure and optimize Linux-based servers for performance, security, and resource utilization, including kernel tuning, file system management, and network configuration
  • Architect cloud solutions leveraging best practices and services offered by AWS and Azure, optimizing for scalability, reliability, and cost-effectiveness
  • Implement and manage hybrid cloud environments, facilitating seamless integration and interoperability between AWS and Azure services
  • Establish version control practices for IAC templates, ensuring traceability, auditability, and reproducibility of infrastructure changes
What we offer
What we offer
  • Opportunity to work on impactful technical challenges with global reach
  • Vast opportunities for self-development, including online university access and knowledge sharing opportunities
  • Sponsored Tech Talks & Hackathons to foster innovation and learning
  • Generous benefits packages including health insurance, retirement benefits, flexible work hours, and more
  • Supportive work environment with forums to explore passions beyond work
  • Fulltime
Read More
Arrow Right

Infrastructure Engineer - Network Security

The Network Security team ensures that Campbell’s business operations including ...
Location
Location
United States , Camden
Salary
Salary:
131400.00 - 188900.00 USD / Year
campbells.com Logo
THE VAIL CORPORATION
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum education required, with specialization as appropriate: Bachelors Degree or equivalent work experience in Information Technology or Information Security
  • 6+ of experience in IT or Information Security
  • 3+ Years of IT Systems Management (Plan/Build/Run)
  • 3+ years of Firewall policy management (Deployment/Operations) for one or more of the leading NGFW companies (Palo Alto, Fortinet, Checkpoint)
  • Previous experience working in outsourced IT environments
  • Ability to translate business needs into implementation plans and can articulate cost implications of options
  • Extensive knowledge & understanding of NGFWs, SSL VPN, NAC & RBAC, Privileged access (PAM) & SASE solutions
  • Vendor knowledge and past implementation of Cisco, Aruba & Fortinet
  • Extensive experience with Firewall & SSL VPN based policy management
  • both with direct implementation and guiding principles with ‘zero-trust’ approach
Job Responsibility
Job Responsibility
  • Develop, document, communicate, and enforce a network technology standards policy which is delivers value, is manageable and scalable
  • Conduct analysis of security requirements and controls to identify gaps and provides recommendations of industry best practices, trends, and technology products
  • Conduct research and make recommendations on network products, services, protocols, and standards in support of network procurement and digital development efforts
  • Lead efforts on Network infrastructure transition following ‘DevSecOps’ principles & framework in alignment with business application and related Enterprise Architectural standards
  • Help build strategic plans by leveraging leading-edge scientific and technological knowledge to drive business strategies as well as enhance the value proposition of IT solutions across cost, stability and security frameworks
  • Participating and enabling successful Business projects that have network security dependencies
  • Executing and ensure the successful delivery of IT Network and Network security tech
  • Assist with the design and implementation of short- and long-term strategic plans to ensure network services meet existing and future business requirements
  • Works closely with other groups, including System Administrators, AppOps, Infosec, Incident response & Vulnerability management teams, to ensure corporate compliance & improvements across network infrastructure
  • Provide support for Infosec related project initiatives and CSIRT event responses
What we offer
What we offer
  • Benefits begin on day one and include medical, dental, short and long-term disability, AD&D, and life insurance (for individual, families, and domestic partners)
  • Employees are eligible for our matching 401(k) plan and can enroll on the first day of employment with immediate vesting
  • Campbell’s offers unlimited sick time along with paid time off and holiday pay
  • If in WHQ – free access to the fitness center
  • Access to on-site day care (operated by Bright Horizons) and company store
  • Giving back to the communities where our employees work and live is very important to Campbell’s
  • Our “Campbell’s Cares” program matches employee donations and/or volunteer activity up to $1,500 annually
  • Campbell’s has a variety of Employee Resource Groups (ERGs) to support employees
  • competitive health, dental, 401k and wellness benefits beginning on the first day of employment
  • Fulltime
Read More
Arrow Right

Engineering Director

We are seeking a seasoned Engineering Director who thrives in challenging and fa...
Location
Location
Puerto Rico , Aguadilla
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Significant work experience as a director or similar position working across multiple stakeholder organizations, with at least 10+ years of people leadership experience specific to SW and Cloud engineering
  • Solid experience leading SW development across storage, networking, on-prem, and SaaS is a must
  • Experience in setting up geographically distributed sites
  • Must have a strong background in software development lifecycle including cloud infrastructure
  • Familiarity with agile methodologies and tools like JIRA
  • Prior experience in cloud product development and deployments
  • end to end ownership and accountability
  • Solid understanding of fundamental AI and machine learning concepts, including supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling
  • Extensive business acumen, technical knowledge, and industry experience encompassing one or more engineering, technology, and product domains
  • Demonstrated abilities to drive transformation across a business with exceptional skills in the management of change
Job Responsibility
Job Responsibility
  • Oversee the Puerto Rico Site daily operations, strategic planning and cross-functional team leadership for Hybrid Cloud
  • Recruit, mentor, and manage teams of AI/ML engineers, QA Engineers, Design Engineers and innovation specialists to deliver cutting-edge solutions
  • Continuously evaluate new tools, platforms, and frameworks in AI/ML to drive competitive advantage and operational efficiency
  • Ensure alignment with corporate goals while fostering a high-performance culture, operational efficiency, and employee engagement
  • Lead the development and execution of AI/ML strategies that align with business goals and drive innovation across products, services, or operations
  • Create strategic and tactical operations and resource plans, goals, and priorities for assigned organization based on business and technology roadmap and functional objectives
  • Engage with various senior leaders across the organization, program managers, R&D, support, Quality, product managers, technical leaders and executives to communicate program status, escalate issues, and guide and influence strategic decision-making
  • Manage senior relationships and escalated issues with outsourced partners and suppliers, including setting expectations regarding deliverables, product quality, schedules, and costs
  • ensures that organization is effectively leveraging outsourced resources
  • Identify opportunities for and drive organizational initiatives and programs to support business process improvements and cost reductions
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

Senior Product Manager

Senior Product Manager (Data Center AIOps). HPE’s Data Center Networking team is...
Location
Location
United States , Sunnyvale
Salary
Salary:
136500.00 - 276500.00 USD / Year
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, engineering, or a related technical field
  • MBA or advanced degree preferred
  • 6+ years of experience in product management or technical program management for enterprise networking software
  • Experience working with cross-functional teams in agile environments
  • Understanding of data center networking architectures and protocols (EVPN-VXLAN, BGP, LAG, telemetry)
  • Familiarity with network automation tools (Apstra, Ansible, and Terraform) and controller-based design
  • Troubleshooting ability to interpret streaming telemetry, CLI show commands, syslogs, and other operational data sources for root cause analysis
  • Experience with AI/ML-based observability or AIOps tools for network assurance
  • Demonstrated success managing products delivered as SaaS or cloud-native services
  • Exceptional communication skills, both technical and business-oriented, with the ability to influence across leadership and engineering teams
Job Responsibility
Job Responsibility
  • Define, prioritize, and execute the strategy for the Apstra Data Center Director and Data Center Assurance
  • Partner with cross-functional engineering and design teams to translate customer needs into product specifications and deliverables
  • Analyze operational data from large-scale data center networks to identify root causes and drive product improvements
  • Apply AI/ML techniques to automate fault detection, anomaly correlation, predictions, and intent-based assurance within the solution
  • Work directly with customers, field engineers, and partners to gather feedback and validate product direction
  • Collaborate with marketing and sales enablement to communicate product positioning, competitive differentiation, and go-to-market strategies
  • Manage product performance metrics for deployments, ensuring the efficacy of solutions are addressing real user scenarios
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

Senior Software Engineer - Go (Next-Gen Firewall)

We are seeking a Senior Backend Engineer (Go) to join our core engineering team ...
Location
Location
Vietnam , Ho Chi Minh City
Salary
Salary:
Not provided
qualgo.net Logo
Qualgo
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master’s degree in Computer Science, Cybersecurity, Network Engineering, or related field
  • Deep understanding of goroutines, channels, memory management, and profiling (pprof)
  • Strong grasp of the OSI model, TCP/IP, DNS, TLS/SSL, VPNs (WireGuard/IPsec), and Routing
  • Experience with Docker, Kubernetes, and deploying network appliances on AWS/GCP/Azure
  • Production experience with Kafka, RabbitMQ, or NATS
  • Good English skills (speaking and listening) to communicate with the global teams
  • Hands-on experience with Suricata, Snort, Zeek, or Squid Proxy
  • Familiarity with OPNsense or pfSense architecture is a huge plus
Job Responsibility
Job Responsibility
  • Design and implement high-performance Go services that interact with network subsystems (netfilter/nftables) and open-source security engines (Suricata, Squid, Zeek)
  • Design and implement routing functionalities on low resource gateway system
  • Develop custom plugins or sidecars to ingest, parse, and normalize IDS/IPS alerts (Suricata EVE logs) and Proxy logs for the AI engine
  • Build the "Action Engine" that translates AI threat verdicts into real-time blocking rules (firewall policies, BGP blackholing, or DNS sinkholing)
  • Deeply integrate with OPNsense APIs/plugins to orchestrate policy updates across distributed firewall nodes
  • Architect scalable gRPC and REST APIs to serve as the control plane for thousands of firewall agents
  • Write highly optimized, concurrent Go code to handle high-throughput log ingestion with minimal latency/GC overhead
  • Design distributed locking and consistency mechanisms to ensure firewall policies are synchronized globally across multi-tenant environments
  • Build low-latency pipelines using Kafka or NATS JetStream to stream network telemetry to our AI/ML inference engine
  • Implement WebSocket or HTTP/2 streaming for real-time threat visualization and alerting dashboards
What we offer
What we offer
  • Meaningful work & impact
  • Competitive rewards
  • Growth & well-being
  • People & workspace
  • Young & dynamic environment
Read More
Arrow Right

Senior ML Engineer

Join our dynamic team as an AI Developer, where you'll be at the centre of our A...
Location
Location
Salary
Salary:
Not provided
clixlogix.com Logo
ClixLogix
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A degree in Computer Science, Engineering, or a related field
  • Proven experience in designing and deploying AI/ML solutions. (3-4 years)
  • Stellar programming skills, especially in Python
  • Deep knowledge of machine learning, neural networks, and frameworks like TensorFlow and PyTorch
  • Expertise in data handling, preprocessing, and augmentation
  • Familiarity with version control tools and collaborative practices
  • Strong foundation in software engineering, including testing and debugging
  • Exceptional problem-solving and analytical skills
  • Outstanding communication skills for seamless teamwork
Job Responsibility
Job Responsibility
  • Uphold our company's values and principles, ensuring that all policies and procedures are followed with precision
  • Be a beacon of professionalism, setting an example in day-to-day conduct, interactions, and soft aspects
  • Stay aligned with our Remote work policies, fostering a positive and collaborative work environment
  • Collaborate with cross-functional teams to understand business requirements and translate them into scalable AI/ML solutions
  • Design and architect end-to-end AI/ML pipelines, from data collection to deployment
  • Develop advanced machine learning algorithms to tackle challenges in areas like natural language processing and computer vision
  • Optimize models for performance, accuracy, and efficiency
  • Clean, transform, and enrich raw data for AI/ML models
  • Train, validate, and refine machine learning models using cutting-edge techniques
  • Evaluate model performance across diverse datasets
  • Fulltime
Read More
Arrow Right

Senior Staff Engineer, Software Engineering

We are seeking a highly accomplished Senior Staff Engineer to join our engineeri...
Location
Location
United States , Chevy Chase, MD; Palo Alto, CA; Seattle, WA
Salary
Salary:
130000.00 - 260000.00 USD / Year
geico.com Logo
Geico
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep expertise in infrastructure systems, including compute platforms (Kubernetes, Docker, cloud services), networking, and storage
  • Strong database experience across relational databases (PostgreSQL, MySQL) and NoSQL solutions (MongoDB, Cassandra, Redis, DynamoDB)
  • Demonstrated experience applying AI to solve real-world problems in production environments
  • Expert-level proficiency in at least two programming languages (e.g., Python, Java, Go, Rust)
  • Experience designing and building distributed systems at scale
  • Strong understanding of cloud platforms (Azure OR AWS) and infrastructure-as-code practices
  • Hands-on experience with CI/CD pipelines, build systems, and deployment automation (e.g., GitHub Actions, Jenkins, Azure DevOps, ArgoCD)
  • Background in building real-time data processing systems (Kafka, Flink, Spark)
  • Excellent communication skills with the ability to articulate complex technical concepts to diverse audiences
  • Experience working in a platform engineering team, building internal developer platforms or shared infrastructure services
Job Responsibility
Job Responsibility
  • Define and drive the technical vision for infrastructure and AI-powered systems across the organization
  • Design, architect, and implement highly scalable, fault-tolerant distributed systems
  • Lead technical decision-making on critical projects, balancing short-term needs with long-term sustainability
  • Establish and champion engineering best practices, design patterns, and coding standards
  • Architect and optimize compute infrastructure for performance, reliability, and cost efficiency
  • Design and implement database solutions (relational and NoSQL) that scale to meet business demands
  • Drive cloud infrastructure strategy, including containerization, orchestration, and serverless architectures
  • Ensure system reliability, observability, and operational excellence across all platform components
  • Identify and prioritize opportunities to apply AI/ML to solve high-impact business problems
  • Stay current with emerging AI technologies and evaluate their applicability to business challenges
What we offer
What we offer
  • Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
  • Financial benefits including market-competitive compensation
  • a 401K savings plan vested from day one that offers a 6% match
  • performance and recognition-based incentives
  • and tuition assistance
  • Access to additional benefits like mental healthcare as well as fertility and adoption assistance
  • Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy