HPC/Kubernetes SW Engineer

Overview

We are seeking a HPC/Kubernetes SW Engineer to design, develop, and scale high-performance software systems supporting distributed computing workloads. This role focuses on building and optimizing solutions that run on HPC on-prem clusters and cloud/on-prem hybrid environments, with an emphasis on performance, scalability, and maintainability.

You will be a key member of the R&D team developing next-generation HPC-enabled applications and infrastructure supporting simulation, AI/ML, and data-intensive workloads.

Responsibilities

• Design, develop, and optimize high-performance software systems using C++ and Python for distributed and compute-intensive workloads
• Build, deploy, and maintain applications on HPC clusters using workload schedulers (e.g., Slurm, LSF, PBS)
• Architect and implement containerized solutions using Docker and Kubernetes for scalable distributed execution
• Develop and optimize software on Linux-based systems, including performance tuning, debugging, and system-level troubleshooting
• Contribute to system design, code reviews, and architectural decisions across distributed systems
• Profile and improve performance, scalability, and resource utilization of HPC applications
• Collaborate with cross-functional teams (DevOps, infrastructure, product) to deliver production-grade solutions

Qualifications

Strong software development experience in:

• C++ (performance-critical systems, memory management, multithreading)
• Python (automation, orchestration, tooling, or data workflows)
• Hands-on experience with HPC clusters, including:
• Job scheduling systems (e.g., Slurm, LSF, PBS)
• Distributed workload execution and scaling
• Experience with containerization and orchestration:
• Docker for building and packaging applications
• Kubernetes for deployment, scaling, and orchestration
• Strong Linux expertise, including:
• Shell scripting, debugging, system-level tools (e.g., perf, gdb)
• Performance tuning and troubleshooting
• Experience designing or building distributed or cloud-based systems
• Strong problem-solving skills and ability to work on complex systems

Preferred / Nice-to-Have Skills

• Experience with JavaScript / TypeScript
• Experience with Angular (preferred for UI/dashboard development)
• Familiarity with:
  • Cloud environments (AWS, Azure, or GCP)
  • Networking or distributed communication (e.g., gRPC, REST APIs)
  • GPU computing or AI/ML workloads in HPC environments

Education

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related discipline (or equivalent experience)

Keysight is an Equal Opportunity Employer.