GPU Hardware Engineer, Apple Services Engineering
Apple
Summary
Description
Minimum Qualifications
- Familiarity with GPU hardware and its architecture (e.g., NVIDIA, AMD and understanding how GPUs work in high- performance computing (HPC) and machine learning environments.
- Ability to write custom software tools that streamline the development process, enhance hardware performance analysis, and troubleshoot complex GPU hardware issues.
- Experience managing GPUs in a data center or cloud-based environments (like AWS, GCP, or Azure).
- Clear written and verbal communication skills to document findings, procedures, and collaborate across teams.
- Outstanding organizational and communications skills.
- Bachelor's Degree in Computer Science, an engineering-related field, or equivalent related experience.
Key Qualifications
Preferred Qualifications
- 5+ years in a Operations, DevOps, or Infrastructure focused role.
- Understanding of TCP/IP, HTTP/S, and protocols specific to high-performance computing (HPC) systems, such as RDMA (Remote Direct Memory Access).
- Experience with GPU hardware (e.g., NVIDIA, AMD) and strong programming skills in languages like Python, Golang, or CUDA to create custom software tools, automation scripts, and diagnostic utilities.
- Understanding of GPU performance optimization, load balancing, and managing memory and compute resources for optimal performance.
- Understanding of base internet infrastructure services including DNS, DHCP, LDAP, server virtualization in critical large scale distributed systems.
- Experience with monitoring systems (e.g., Prometheus, Grafana) to track GPU, CPU, and memory utilization, as well as tools to diagnose and optimize hardware performance.
- Hardware bootstrap and associated security (PXE, BIOS, TPM, secure boot, trusted computing)
- Familiarity with configuration management and fleet orchestration via Chef, Ansible, or others.
Education & Experience
Additional Requirements
Pay & Benefits
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