R&D Software Engineer (High-Performance Computing (HPC))

at  Keysight Technologies INC

Overview:
Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. 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:
This position is for a full-time Software Engineer to join Keysight’s Quantum Engineering Solutions (QES) organization, which is responsible for producing world-leading solutions in quantum technologies, including quantum computing, quantum communications and quantum sensing. As a Solution Developer, you will be part of an R&D team and launch breakthrough software solutions to market. You will engage in every stage of our product development process, addressing intricate technical hurdles in a customer-centric setting, while showcasing expertise in crafting and refining parallelized solvers tailored for HPC-Quantum computing integration across hybrid QPU-CPU-GPU architectures.

JOB QUALIFICATIONS

• BS/MS in Computer Science/Computer Engineering and/or Physics/Electrical Engineering with C#/C++ or python programming and debugging proficiency or equivalent 4-7 years job experience.
• Proven experience developing parallelized solvers for HPC applications.
• Proficiency in MPI and OpenMP for parallel programming on CPU architectures.
• Experience with GPU computing and parallel programming models such as CUDA.
• Strong understanding of parallel computing principles and techniques.
• Proficiency in Python, C# and C++ for scripting, automation, and performance-critical components.
• Familiarity with high-performance computing environments and job scheduling systems.
• Good understanding of quantum information science is desired but not mandatory.
• Excellent analytical and troubleshooting skills.
• Ability to work in a collaborative environment and to develop teamwork among individuals and over geographically disperse teams.
• High tolerance for ambiguity, results-oriented, meets timelines, handles pressure while working positively in a collaborative manner.
• Excellent written and verbal communication skills
• Willingness to learn proactively.
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  *Keysight is an Equal Opportunity Employer.

• Develop and optimize parallelized solvers for quantum control software.
• Utilize MPI and OpenMP to parallelize computational workloads for distributed memory and shared memory architectures.
• Implement and optimize algorithms for GPU acceleration using CUDA and other GPU computing frameworks.
• Utilize Python and C++ for scripting, automation, and performance-critical components.
• Work independently as well as in teams to accomplish business objectives.
  Qualifications: