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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # HPC/Kubernetes SW Engineer - **Company:** Keysight Technologies, Inc. - **Location:** Gent, Belgium - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Cloud Computing, Code Review, Software Debugging, Linux, DevOps, Distributed Systems, Memory Management, General-Purpose Computing on Graphics Processing Units, Job Scheduling, Python (Programming Language), Linux System Administration, Performance Tuning, Software Architecture, Shell Script, Software Engineering, TypeScript, Multithreading, Scripting, Cloud Platform System, High Performance Computing, Perf (Linux), Containerization, AngularJS, Kubernetes, Slurm, Restful APIs, Grpc, Docker - **Published:** July 15, 2026 - **Apply:** https://be.indeed.com/viewjob?jk=7578c1f858b9a728 ## About the Role 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, To help us better understand your experience, we encourage candidates to provide specific examples of how they have applied the following skills in real-world or production environments: * How you used C++ and/or Python in production systems (not just coursework) * Your direct involvement with HPC clusters (setup, usage, scaling, troubleshooting, etc.) * Concrete examples of using Docker and/or Kubernetes (e.g., deployment, orchestration, CI/CD pipelines) * Practical experience working in Linux environments (debugging, performance tuning, scripting) * (If applicable) real usage of JavaScript/TypeScript/Angular in delivered features or products ## Description * 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 ## Related Videos - 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