Algorithm Software Architecture

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology. Group/Division 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. 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 About KLA We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us. Total Rewards Base Pay Range: $186,200.00 - $316,500.00 Annually
Primary Location: USA-CA-Milpitas-KLA KLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. 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. Use of AI Statement  At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person—is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset. Equal Opportunity Statement 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. For additional information, view the US Know Your Rights poster on the U.S. Equal Employment Opportunity Commission website.