HPC Systems Engineer - AI Workloads

Advanced Micro Devices, Inc.
San Jose, CA, United States
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$173,600.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Systems Engineering Bash Shell Ubuntu (Operating System) Computer Clusters Computer Engineering Data as a Services Distributed Systems Python (Programming Language) Kernel-Based Virtual Machine Ansible Prometheus
+13 more
Azure Machine Learning Web Services AI Infrastructure Graphics Processing Unit (GPU) High Performance Computing Saltstack Grafana Backend AI Platforms Kubernetes Information Technology Slurm Terraform

Job description

We are seeking an AI Systems Engineer to join our AMD ITcomputeplatforms engineering team. The AI Systems Engineeris responsible forthe design, development, and administration of High-Performance Computing (HPC) infrastructure, GPU clusters, and AI workload schedulers., * Develop, implement, andmaintainGPU-based clusters, ensuringoptimalperformance

  • Administer ML/AI platforms - Distributed ML services, LLMsandAIinferencing, by managing deployments, resource allocation, monitoring, and security.
  • Automate system provisioning and Cluster management end to end
  • Collaborate with cross-functional teams to address AI infrastructure requirements, support AI-related projects, and provide technicalexpertise.
  • Monitor and evaluate the performance of AI systems and clusters, ensuring that they adhere to industry best practices and meet company standards.
  • Use AI/ML to continuously improve internal processes and tools that are used in end-to-end delivery of your services in this team, AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

Requirements

You have a passion for learning. You are passionate about the field of large-scale distributed computing in AI and HPC workloads. You take responsibility for end-to-end outcomes of your efforts. You want to build scalable and highly performant HPC/AI/Data services with AMD hardware, software,peopleand processes. You have a curiosity to learn and improve scalable HPC systems. You havesignificant experiencein working across a globally distributed organization., * Experience in developingPython basedAI apps and UI

  • HPC infrastructure engineering for AI/HPC domain
  • SLURM and Kubernetes management
  • Managing GPU clustersoptimizingGPU-based services/tools/software
  • Experience in creating web services with HPC backend (like AI)
  • Proficiencyin RoCEv2, K8s, KVM, Ubuntu, Python, Shell, GPU drivers, and Cluster interconnect with 400G networking.
  • Demonstrated experience with AI workload schedulers and allocation optimization.
  • Automation/monitoring tool - Ansible / Saltstack, Terraform, Prometheus, Grafana
  • Strong organizational, problem-solving, and troubleshooting skills, with the ability to manage multiple projects simultaneously.
  • Excellent verbal and written communication skills, with the ability to collaborate effectively with team members and stakeholders at all levels of the organization.

EDUCATION: Bachelor’s or master’s degree in computer science or computer engineering preferred.

Benefits & conditions

$173,600.00/Yr.-$260,400.00/Yr.

About the company

At AMD, we believetechnology 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 AMDis shapingthefuture.

Whetheryou’redesigning next-gen processors, enabling AI breakthroughs, orbringing leading edge products to market, every role at AMD contributes to something bigger- technologythat moves the world forward.Join us and, together, we’ll advance your career.

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