2 days ago
San Jose, CA, USASenior
Base Salary
$99k - $148k/yr
Responsibilities
- Develop, implement, maintain, and optimize GPU-based HPC clusters.
- Administer distributed ML services, LLM and AI inference platforms, including deployments, resource allocation, monitoring, and security.
- Automate system provisioning and cluster management end to end.
- Collaborate with cross-functional teams on AI infrastructure requirements and related projects.
- Monitor and evaluate AI system and cluster performance against industry best practices and company standards.
- Use AI and ML to improve internal processes and service-delivery tools.
Requirements
- Experience developing Python-based AI applications and user interfaces.
- Experience engineering HPC infrastructure for AI and HPC workloads.
- Experience managing SLURM and Kubernetes environments.
- Experience managing GPU clusters and optimizing GPU-based services, tools, and software.
- Experience creating web services with an HPC backend.
- Proficiency with RoCEv2, Kubernetes, KVM, Ubuntu, Python, Shell, GPU drivers, and 400G cluster networking.
- Experience with AI workload schedulers and allocation optimization.
- Experience with Ansible or SaltStack, Terraform, Prometheus, and Grafana.
- Strong organizational, problem-solving, troubleshooting, communication, and collaboration skills.
- Bachelor’s or master’s degree in computer science or computer engineering preferred.
Benefits
- AMD benefits are referenced through the company’s benefits-at-a-glance information.
- Work location: San Jose, California.
Tech Stack
Categories
About AMD
AMD designs and sells CPUs, GPUs, and adaptive/embedded computing products for PCs, data centers, gaming, and edge devices. Its portfolio includes Ryzen and EPYC processors, Radeon and Instinct graphics, and adaptive SoCs from its Xilinx acquisition, sold to OEMs, cloud providers, and device makers. Founded in 1969 and headquartered in Santa Clara, it is a public company on NASDAQ and supplies semi-custom chips for major game consoles.