Software Engineer - Linux Infra & Distributed Computing

KLA-Belgium; Milpitas, Northern (CA, KY); Hybrid; USD 136,000 - 232,000; Full time

Benefits offered by this job

401(k) with company match

Employee stock purchase program (ESPP)

Tuition reimbursement

Job summary

KLA is seeking a Software Engineer for Linux infrastructure and distributed computing in Milpitas, CA. You will design and build scalable distributed systems, optimize performance, and collaborate on GPU-accelerated workloads in a cloud-native environment.

The role requires strong C++ skills, Linux experience, and familiarity with Kubernetes, Docker, HPC concepts, and AI/ML tooling. Excellent problem-solving and communication are essential.

Qualifications

• 2-5 years of professional software development experience.
• Strong proficiency in C++ and OO design.
• Experience with Linux-based operating systems.
• Experience with multi-threading, synchronization, and concurrency.
• Experience with Kubernetes, Docker, and cloud-native technologies.
• Experience with HPC, RDMA, high-speed networking.
• GPU/CUDA programming and performance optimization.
• Familiarity with AI/ML frameworks.
• Strong debugging and problem-solving skills.
• Excellent communication skills.

Responsibilities

• Design and develop scalable distributed systems and data processing apps.
• Optimize performance of high‑performance software.
• Collaborate on cloud-native architectures using Kubernetes and Docker.
• Address production issues in mission-critical systems.
• Engage with AI/ML workflows and tooling.

Skills

C++

Linux

Kubernetes

Docker

Distributed systems

CUDA

GPU computing

AI/ML

Networking TCP/IP

Multithreading

Education

Bachelor's or Master's degree in Computer Science/Engineering

Tools

Git

Build tools

Job description

KLA is seeking a Software Engineer for Linux infrastructure and distributed computing in Milpitas, CA. You will design and build scalable distributed systems, optimize performance, and collaborate on GPU-accelerated workloads in a cloud-native environment.

The role requires strong C++ skills, Linux experience, and familiarity with Kubernetes, Docker, HPC concepts, and AI/ML tooling. Excellent problem-solving and communication are essential.