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# Algorithm Software Architecture

- **Company:** Kla Corporation
- **Location:** Milpitas, CA, United States
- **Experience:** Expert
- **Salary:** $186,200.0 - $316,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Code Review, Nvidia CUDA, Continuous Integration, Data Centers, Data Systems, Linux, Distributed Systems, Python (Programming Language), OpenCL, Software Architecture, Software Engineering, Scripting, Computer Network Operations, High Performance Computing, Gpu Programming, Containerization, Kubernetes, Low Latency, Slurm, Mixed Precision, Data Pipelines, Docker
- **Published:** October 29, 2026
- **Apply:** https://www.careerbuilder.com/job-details/algorithm-software-architecture-milpitas-ca--405fa95c-a98b-4f1f-9615-e1c842c93cfa

## About the Role

* 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., 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

## Description

The Semiconductor Products and Customers (Semi PC) business unit designs, builds and sells KLA's product portfolio to help chip manufacturers meet high-quality standards for technologies like AI, data centers, automotive and electronic devices. Our inspection, metrology, and analytics systems detect and monitor defects across logic and memory chips, specialty semiconductors, wafers, reticles, advanced packaging, process equipment and materials. We also develop technologies for specialty processes, IC substrates, and PCB manufacturing, including etch and deposition, component inspection, and imaging and analytics. The Film and Scatterometry Technology (FaST) division delivers industry-leading metrology solutions essential to advanced semiconductor manufacturing. Its portfolio includes systems for measuring film thickness, critical dimensions, composition, and resistivity-key to developing and scaling next-gen IC processes. FaST partners closely with customers from early R&D through
high-volume production, ensuring performance and process alignment.

What You'll Do

In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise., 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.