High Performance Compute (HPC) Software Engineer – HPC SW Systems

Company Overview

Job Description/Preferred Qualifications

Key Responsibilities

HPC Software Engineering

Design develop and optimize HPC software running on large-scale Linux clusters including distributed and parallel workloads (MPI multithreading GPU-accelerated pipelines containerized workloads).

Optimize application performance and power utilization across CPU memory storage and network subsystem with attention to throughput latency and scaling behavior.

Develop and maintain system-level tooling for cluster bring-up diagnostics monitoring including component power usages and health checks.

Work closely with algorithms systems and application teams to understand and translate workload characteristics into power-efficient HPC software solutions.

HPC Systems & Hardware Awareness

Collaborate with hardware and systems teams to define HPC node storage and interconnect requirements based on software and algorithm needs.

Understand and influence CPU/GPU selection memory sizing PCIe layout NUMA behavior and network topology to ensure optimal software performance.

Participate in HW/SW co-debug activities including performance bottlenecks stability issues and failure analysis.

Rack & Infrastructure Engineering

Understand rack-level integration of HPC systems focusing on power cooling cabling networking and physical layout considerations.

Understand data-center and lab constraints such as power budgets thermal limits network drops and serviceability.

Contribute to best practices and design reviews for new platforms and refresh cycles.

Cross-Functional Collaboration

Act as a technical bridge between software hardware systems teams.

Provide clear technical documentation covering software and system architecture deployment flows performance assumptions.

Required Qualifications

Bachelors or Masters degree in Computer Science Computer Engineering Electrical Engineering or equivalent practical experience.

Strong experience developing HPC or systems software on Linux.

Proficiency in Java and/or C and/or other system-level or performance-oriented languages.

Hands-on experience with parallel computing (MPI OpenMP multithreading). Candidates with GPU computing (CUDA ROCm or equivalent) would be preferred.

Solid understanding of HPC hardware fundamentals: CPUs memory hierarchies storage networking (Ethernet / InfiniBand).

Practical experience working with clusters servers or rack-scale systems in lab or production environments.

Strong debugging skills across software OS and hardware boundaries.

Preferred Qualifications

Experience with containerized HPC environments (Docker Singularity/Apptainer Kubernetes in HPC contexts).

Familiarity with high-speed interconnects storage architectures and performance benchmarking.

Exposure to rack integration including cabling power distribution cooling and system bring-up.

Experience in semiconductor manufacturing or high-reliability systems environments.

Ability to reason about system reliability MTBF/MTBA and failure modes in large compute installations.

What Makes This Role Unique at KLA

Work on mission-critical HPC platforms that directly impact semiconductor manufacturing capability.

Influence both software architecture and physical system design not just code in isolation.

Collaborate with world-class experts across algorithms hardware systems and operations.

See your work deployed at scale in real production toolsnot just in the data center.

Minimum Qualifications

Doctorate (Academic) Degree and 0 years related work experience; Masters Level Degree and related work experience of 3 years; Bachelors Level Degree and related work experience of 5 years

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role level and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors including state minimum pay wage rates location job-related skills experience and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment. Please contact us at or at 1- to request accommodation.

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