About the role

AI summarised

The HPC Systems Engineer designs and optimizes compute cluster configurations for KLA systems, focusing on performance, reliability, and scalability. This role involves selecting and validating hardware components such as CPUs, memory, storage, networking, and accelerators, while collaborating across hardware, software, and systems engineering teams to ensure seamless integration. Responsibilities include documenting design decisions, participating in design reviews, and supporting cross-functional problem-solving efforts.

EquipmentOnsite

Key Responsibilities

Design and develop compute cluster configurations optimized for performance, reliability, and scalability in KLA systems
Select and validate hardware components including CPUs, memory, storage, networking, and specialized accelerators
Collaborate with hardware, software, and systems engineering teams to ensure seamless integration of compute clusters into broader system architectures
Document hardware design decisions, integration procedures, and diagnostic workflows for internal and cross-team use
Participate in design reviews, integration planning, and collaborative problem-solving sessions with cross-functional teams

Requirements

Doctorate (Academic) Degree and 0 years related work experience
Master's Level Degree and related work experience of 3 years
Bachelor's Level Degree and related work experience of 5 years
Strong experience in computer hardware design, particularly in compute cluster or server environments
Experience in networking design, including InfiniBand, Ethernet switches, with expertise in port mapping and configuration
Familiarity with modern memory technologies (e.g., DDR4/DDR5, DIMM, LPDDR, HBM)
Familiarity with Linux system administration and OS customization (preferably SUSE Linux)
Understanding of system-level performance tuning and hardware-software interaction
Excellent documentation and communication skills
Experience with hardware validation and troubleshooting tools
Knowledge of high-performance computing (HPC) or distributed systems
Ability to work effectively in a collaborative, cross-functional engineering environment
Test-driven development mindset and attention to detail
Self-starter with a proactive approach to problem-solving and continuous improvement