Employer job description

From Keysight Technologies's posting. “We” and “our” refer to the employer.

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 om-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.

Keysight 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.

Our 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.

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 and distributed computing environments using workload schedulers (e.g., Slurm, LSF, PBS) to support parallel computing and compute-intensive workloads
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, Platform Engineering, infrastructure, and product) to deliver production-grade solutions through automated CI/CD pipelines

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
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)
Kubernetes for deployment, scaling, and orchestration
Familiarity with: Cloud environments (AWS, Azure, or GCP)
Networking or distributed communication (e.g., gRPC, REST APIs)
GPU computing, AI Infrastructure, ML Infrastructure, distributed training, or AI/ML workloads in HPC environments.

What We're Looking For

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
Education
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related discipline (or equivalent experience)
Careers Privacy Statement
***Keysight is an Equal Opportunity Employer.***

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 and distributed computing environments using workload schedulers (e.g., Slurm, LSF, PBS) to support parallel computing and compute-intensive workloads
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, Platform Engineering, infrastructure, and product) to deliver production-grade solutions through automated CI/CD pipelines

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
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)
Kubernetes for deployment, scaling, and orchestration
Familiarity with: Cloud environments (AWS, Azure, or GCP)
Networking or distributed communication (e.g., gRPC, REST APIs)
GPU computing, AI Infrastructure, ML Infrastructure, distributed training, or AI/ML workloads in HPC environments.

What We're Looking For

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
Education
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related discipline (or equivalent experience)
Careers Privacy Statement
***Keysight is an Equal Opportunity Employer.***

About this listing

LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.

View original posting Report an issueEmployer correction or removal

Employer posted: 2026-07-13

Listing check

Employer posted: Jul 13, 2026 · 99 days ago
Status: Listed as a current opening
Apply goes to: jobs.keysight.com, the employer's own site

Posted over three months ago. Hiring can take months, so age alone is not a warning. If you are unsure, check the employer's careers page.

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Before you apply

Employer job description

From Keysight Technologies's posting. “We” and “our” refer to the employer.

Overview

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 and distributed computing environments using workload schedulers (e.g., Slurm, LSF, PBS) to support parallel computing and compute-intensive workloads
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, Platform Engineering, infrastructure, and product) to deliver production-grade solutions through automated CI/CD pipelines

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
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)
Kubernetes for deployment, scaling, and orchestration
Familiarity with: Cloud environments (AWS, Azure, or GCP)
Networking or distributed communication (e.g., gRPC, REST APIs)
GPU computing, AI Infrastructure, ML Infrastructure, distributed training, or AI/ML workloads in HPC environments.

What We're Looking For

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
Education
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related discipline (or equivalent experience)
Careers Privacy Statement
***Keysight is an Equal Opportunity Employer.***

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 and distributed computing environments using workload schedulers (e.g., Slurm, LSF, PBS) to support parallel computing and compute-intensive workloads
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, Platform Engineering, infrastructure, and product) to deliver production-grade solutions through automated CI/CD pipelines

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
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)
Kubernetes for deployment, scaling, and orchestration
Familiarity with: Cloud environments (AWS, Azure, or GCP)
Networking or distributed communication (e.g., gRPC, REST APIs)
GPU computing, AI Infrastructure, ML Infrastructure, distributed training, or AI/ML workloads in HPC environments.

What We're Looking For

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
Education
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related discipline (or equivalent experience)
Careers Privacy Statement
***Keysight is an Equal Opportunity Employer.***

About this listing

LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.