{"id":2256696,"url":"https://alion.io/job/keysight-hpckubernetes-sw-engineer","title":"HPC/Kubernetes SW Engineer","company":{"id":53596,"name":"Keysight","domain":"keysight.com","url":"https://alion.io/company/keysight","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":{"grade":"A","score":86,"open_postings":116,"ghost_share":0,"stale_share":0.353,"repost_share":0,"time_to_fill_p50_days":74,"computed_at":"2026-10-13T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ghent, Belgium"],"countries":["BE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":134000,"max_usd":301000,"period":"year","method":"role_country_seniority_unknown","sample_n":3560},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"HPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SLURM","optional":false},{"name":"Angular","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"gRPC","optional":true},{"name":"JavaScript","optional":true},{"name":"Rest API","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-07-13T15:08:00Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-13T18:57:03Z","board_verified":true,"closed_at":null,"days_open":92,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":92},"description":"OverviewWe 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 om-prem clusters and cloud/on-prem hybrid environments, with an emphasis on performance, scalability, and maintainability.\nYou 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.\nKeysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.\nOur award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.\nResponsibilities\nDesign, develop, and optimize high-performance software systems using C++ and Python for distributed and compute-intensive workloads\nBuild, deploy, and maintain applications on HPC clusters and distributed computing environments using workload schedulers (e.g., Slurm, LSF, PBS) to support parallel computing and compute-intensive workloads\n\nArchitect and implement containerized solutions using Docker and Kubernetes for scalable distributed execution\nDevelop and optimize software on Linux-based systems, including performance tuning, debugging, and system-level troubleshooting\nContribute to system design, code reviews, and architectural decisions across distributed systems\nProfile and improve performance, scalability, and resource utilization of HPC applications\nCollaborate with cross-functional teams (DevOps, Platform Engineering, infrastructure, and product) to deliver production-grade solutions through automated CI/CD pipelines\n\nQualifications\nStrong software development experience in:\nC++ (performance-critical systems, memory management, multithreading)\nPython (automation, orchestration, tooling, or data workflows)\nHands-on experience with HPC clusters, including:\nJob scheduling systems (e.g., Slurm, LSF, PBS)\nDistributed workload execution and scaling\nExperience with containerization and orchestration:\nDocker for building and packaging applications\nStrong Linux expertise, including:\nShell scripting, debugging, system-level tools (e.g., perf, gdb)\nPerformance tuning and troubleshooting\nExperience designing or building distributed or cloud-based systems\nStrong problem-solving skills and ability to work on complex systems\nPreferred / Nice-to-Have Skills\nExperience with JavaScript / TypeScript\nExperience with Angular (preferred for UI/dashboard development)\nKubernetes for deployment, scaling, and orchestration\nFamiliarity with:Cloud environments (AWS, Azure, or GCP)\nNetworking or distributed communication (e.g., gRPC, REST APIs)\nGPU computing, AI Infrastructure, ML Infrastructure, distributed training, or AI/ML workloads in HPC environments.\n\nWhat We're Looking For\nTo 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:\nHow you used C++ and/or Python in production systems (not just coursework)\nYour direct involvement with HPC clusters (setup, usage, scaling, troubleshooting, etc.)\nConcrete examples of using Docker and/or Kubernetes (e.g., deployment, orchestration, CI/CD pipelines)\nPractical experience working in Linux environments (debugging, performance tuning, scripting)\n(If applicable) real usage of JavaScript/TypeScript/Angular in delivered features or products\nEducation\nBachelor’s or Master’s degree in Computer Science, Software Engineering, or related discipline (or equivalent experience)\nCareers Privacy Statement ***Keysight is an Equal Opportunity Employer.***\nDesign, develop, and optimize high-performance software systems using C++ and Python for distributed and compute-intensive workloads\nBuild, deploy, and maintain applications on HPC clusters and distributed computing environments using workload schedulers (e.g., Slurm, LSF, PBS) to support parallel computing and compute-intensive workloads\n\nArchitect and implement containerized solutions using Docker and Kubernetes for scalable distributed execution\nDevelop and optimize software on Linux-based systems, including performance tuning, debugging, and system-level troubleshooting\nContribute to system design, code reviews, and architectural decisions across distributed systems\nProfile and improve performance, scalability, and resource utilization of HPC applications\nCollaborate with cross-functional teams (DevOps, Platform Engineering, infrastructure, and product) to deliver production-grade solutions through automated CI/CD pipelines\n\nStrong software development experience in:\nC++ (performance-critical systems, memory management, multithreading)\nPython (automation, orchestration, tooling, or data workflows)\nHands-on experience with HPC clusters, including:\nJob scheduling systems (e.g., Slurm, LSF, PBS)\nDistributed workload execution and scaling\nExperience with containerization and orchestration:\nDocker for building and packaging applications\nStrong Linux expertise, including:\nShell scripting, debugging, system-level tools (e.g., perf, gdb)\nPerformance tuning and troubleshooting\nExperience designing or building distributed or cloud-based systems\nStrong problem-solving skills and ability to work on complex systems\nPreferred / Nice-to-Have Skills\nExperience with JavaScript / TypeScript\nExperience with Angular (preferred for UI/dashboard development)\nKubernetes for deployment, scaling, and orchestration\nFamiliarity with:Cloud environments (AWS, Azure, or GCP)\nNetworking or distributed communication (e.g., gRPC, REST APIs)\nGPU computing, AI Infrastructure, ML Infrastructure, distributed training, or AI/ML workloads in HPC environments.\n\nWhat We're Looking For\nTo 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:\nHow you used C++ and/or Python in production systems (not just coursework)\nYour direct involvement with HPC clusters (setup, usage, scaling, troubleshooting, etc.)\nConcrete examples of using Docker and/or Kubernetes (e.g., deployment, orchestration, CI/CD pipelines)\nPractical experience working in Linux environments (debugging, performance tuning, scripting)\n(If applicable) real usage of JavaScript/TypeScript/Angular in delivered features or products\nEducation\nBachelor’s or Master’s degree in Computer Science, Software Engineering, or related discipline (or equivalent experience)\nCareers Privacy Statement ***Keysight is an Equal Opportunity Employer.***","description_format":"text","description_chars":7124,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Simulation & Digital Twin Software","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-11T03:56:46Z"}],"visa":[],"liveness":{"score":20,"band":"cold","label":"Long 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