Algorithm Software Architecture

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 Qualifications 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 Compensation & Benefits Base Pay Range: $159,500.00 - $271,200.00 per year Primary Location: USA-CA-Milpitas Benefits: 401(k) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement, development and career growth opportunities, financial planning benefits, wellness benefits, employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Equal Opportunity Employment: KLA is a proud Equal Opportunity Employer. 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. #J-18808-Ljbffr 1000 KLA Corporation