Algorithm Software Architecture

Company Overview

Group/Division

Job Description/Preferred Qualifications

Overview

We are seeking a Senior Algorithm Software Architect to lead design and delivery of GPU‑accelerated, high‑performance computing software. You will set architectural direction, coach engineers, and partner with product and domain experts to deliver scalable, reliable systems for large‑scale compute and data workflows.

Responsibilities

• Own the end‑to‑end software architecture for HPC/GPU platforms (services, libraries, data pipelines, deployment)
• Lead technical strategy, decision records, define candidate architectures, lead design reviews and drive decisions; drive clear trade‑offs for performance, reliability, and maintainability
• Design and implement GPU kernels and frameworks (e.g., CUDA, OpenCL, NCCL), optimizing for throughput, latency, and memory use
• Guide parallel and distributed computing patterns (MPI, multi‑GPU scaling, heterogeneous compute)
• Establish performance engineering practices: profiling, benchmarking, regression performance gates (Nsight Systems/Compute, nvprof)
• Collaborate across functions; convert requirements into clear technical plans, roadmaps, and measurable outcomes
• Uphold engineering excellence: coding standards, code reviews, test strategies, observability, security considerations
• Mentor engineers; provide technical leadership on design, delivery, and career growth.
• Communicate architecture, risks, and status to executives and stakeholders with clarity and candor.

Qualifications

• 10+ years in software engineering; 5+ years in software architecture for HPC or large‑scale systems
• Expert in C++ (17/20) and one scripting language (Python preferred)
• GPU programming expertise (CUDA, OpenCL); strong knowledge of GPU memory hierarchies, streams, occupancy
• Hands‑on with parallel/distributed stacks (MPI, NCCL, gRPC) and Linux performance tooling
• Experience with cluster orchestration (Slurm, Kubernetes), CI/CD, and containerization (Docker)
• Track record of technical leadership and exceptional communication with cross‑functional teams.

Preferred / Nice‑to‑Have

• Multi‑node, multi‑GPU scaling; mixed precision; numerical methods and algorithms.
• Experience with H200/H100/A100/L40S‑class accelerators and modern profiling workflows.

Minimum Qualifications

Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 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 talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

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