R&D Engineer 5, Software

Keysight Technologies, Inc.•Santa Clara, CA

About The Position

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. 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. At Keysight Design Engineering Software (DES), we build electronic design automation (EDA) software that helps engineers design the world’s most advanced high-frequency circuits, modules, and systems. Our tools accelerate innovation across industries such as telecommunications, aerospace, and semiconductor design. We are looking for a software engineer to join our circuit simulation product team. In this role, you will work on infrastructure and algorithms related with the circuit simulator. This position offers the opportunity to work on challenging systems problems at the intersection of high-performance computing, scientific computing, and modern systems programming. You will collaborate with a globally distributed team of engineers and have the opportunity to influence the architecture of key subsystems. You are expected to take ownership of problems end-to-end - from system design through implementation, debugging, and performance optimization.

Requirements

Degree in Computer Science, Software Engineering, Electrical Engineering, or a related discipline — or equivalent practical experience
15 years of professional software development experience in systems or performance-critical software.
Strong proficiency in C++ or Python (or both). Strong C++ experience with some Python exposure and a willingness to learn quickly is acceptable;
Strong computer science fundamentals: including data structures, algorithms, concurrency, and systems-level thinking
Experience designing clean abstractions and API design, including generics, trait-based interfaces, or analogous patterns in C++ (templates, virtual interfaces).
Familiarity with numerical / scientific computing foundations: such as FFTs, complex arithmetic, matrix operations, and linear algebra
Experience with Python, particularly with NumPy and array-oriented data processing
Proficiency with Git and standard collaborative development workflows
Strong analytical and problem-solving skills with the ability to work autonomously

Nice To Haves

Experience with HPC, MPI, or parallel job scheduling across compute nodes; familiarity with networking fundamentals (TCP)
Interest in or exposure to compiler-adjacent work: expression parsing, AST construction, interpreters, or execution plan optimization
Familiarity with circuit simulation, signal processing, or EDA tooling
Familiarity with async runtimes (e.g., Tokio) or data-parallel frameworks (e.g., Rayon)
Working knowledge of compilation and linking toolchains — ability to diagnose linker errors, and familiarity with build systems such as CMake or Conan

Responsibilities

circuit simulator infrastructure, including front-end and back-end of the simulator
performance improvements of the circuit simulator, eg. DC and Tran simulation
circuit simulation with thermal appliations.
circuit simulation with photonics
Contribute to the architecture and design of new subsystems, participating in code reviews and technical discussions
Investigate and resolve performance bottlenecks and correctness issues independently
Collaborate with engineers across multiple product teams in a global development environment.