{"id":2256702,"url":"https://alion.io/job/keysight-rd-engineer-simulation-software","title":"R&D Engineer Simulation software","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":"B","score":75,"open_postings":120,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Backend","role_family":"Backend","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":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":156960,"max":261600,"currency":"USD","period":"year","gross":null,"usd_annual":261600},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Python","optional":true},{"name":"Rust","optional":true}],"status":"live","first_seen_at":"2026-07-09T21:49:00Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-12T10:57:18Z","board_verified":true,"closed_at":null,"days_open":94,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":94},"description":"OverviewKeysight 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\nWe are seeking an Expert R&D Engineer to join the circuit simulation team for the advancement of our next-generation circuit simulation technologies. This role is focused on developing and improving the core simulation engine behind Keysight's industry-leading circuit simulation products. You will work with simulation experts, software architects, device modeling engineers, and product teams to identify critical technical challenges, develop innovative solutions, and influence the future direction of Keysight's circuit simulation technology.\nWe are looking for an exceptional engineer with deep expertise across electrical engineering, numerical algorithms, and software engineering. The ideal candidate understands both the mathematical foundations of circuit simulation and the practical challenges involved in building a high-performance, production-quality simulator.\nAbout the Team\nOur Circuit Simulation R&D team develops advanced simulation technologies used by engineers worldwide to design RF, microwave, analog, mixed-signal, and high-speed electronic systems.\nThe team combines expertise in:\nElectrical circuit theory and semiconductor device behavior.\nNumerical analysis and computational mathematics.\nHigh-performance software engineering.\nLarge-scale simulation architecture and optimization.\nWe solve some of the most challenging computational problems in electronic design automation by combining algorithm innovation with robust software implementation.\nResponsibilities\nAs an Expert R&D Engineer, you will:\nProvide technical leadership in the development of advanced circuit simulation algorithms.\nInvestigate fundamental simulation challenges involving accuracy, convergence, performance, and scalability.\nDevelop innovative numerical algorithms for nonlinear circuit analysis and differential equation solving.\nImprove solver technologies, including sparse matrix algorithms, nonlinear solution methods, and numerical integration techniques.\nEvaluate and introduce advanced methods for simulation acceleration, including model order reduction, RC reduction, vector fitting, and parallel computation.\nAnalyze simulation performance and identify opportunities for significant improvements in runtime and memory efficiency.\nCollaborate with experts across circuit simulation, device modeling, RF simulation, software architecture, and applications engineering.\nTranslate customer and product challenges into algorithmic solutions.\nMentor engineers and provide technical guidance in simulation algorithms and software development practices.\nDrive technical discussions, design reviews, and long-term technology direction.\nQualifications\nRequired Qualifications\nAdvanced degree (Master's or Ph.D. preferred) in Electrical Engineering, Electrical Engineering and Computer Science (EECS), Computer Science, Applied Mathematics, Computational Science, or a related field.\nExtensive experience developing circuit simulation engines, numerical simulation software, or other large-scale scientific computing applications.\nStrong knowledge of nonlinear equation solving, Newton-Raphson methods, convergence techniques, and differential equation analysis.\nDeep understanding of sparse matrix algorithms and numerical linear algebra.\nExpert-level programming skills in C++ with experience developing large, maintainable software systems.\nAbility to analyze complex simulation behavior and translate mathematical concepts into reliable software implementations.\nStrong communication skills with the ability to collaborate effectively across electrical engineering and software engineering disciplines.\nPreferred Qualifications\nExperience with one or more of the following:\nStrong expertise in transient (TRAN) simulation techniques and numerical integration methods, e.g. Adaptive timestep control, Backward Euler, Trapezoidal, Gear integration methods, Local truncation error estimation, Convergence acceleration techniques, etc.\nSparse solver technologies, e.g. Matrix ordering, Sparse factorization, Iterative and direct linear solvers.\nModel order reduction and parasitic reduction:\nSemiconductor device modeling:\nHigh-performance computing:\nExperience using Python or Rust for prototyping, automation, and engineering productivity.\nPay Range:\nUSD $156,960.00 - USD $261,600.00 Year\nCareers Privacy StatementKeysight is an Equal Opportunity Employer.\nWe are seeking an Expert R&D Engineer to join the circuit simulation team for the advancement of our next-generation circuit simulation technologies. This role is focused on developing and improving the core simulation engine behind Keysight's industry-leading circuit simulation products. You will work with simulation experts, software architects, device modeling engineers, and product teams to identify critical technical challenges, develop innovative solutions, and influence the future direction of Keysight's circuit simulation technology.\nWe are looking for an exceptional engineer with deep expertise across electrical engineering, numerical algorithms, and software engineering. The ideal candidate understands both the mathematical foundations of circuit simulation and the practical challenges involved in building a high-performance, production-quality simulator.\nAbout the Team\nOur Circuit Simulation R&D team develops advanced simulation technologies used by engineers worldwide to design RF, microwave, analog, mixed-signal, and high-speed electronic systems.\nThe team combines expertise in:\nElectrical circuit theory and semiconductor device behavior.\nNumerical analysis and computational mathematics.\nHigh-performance software engineering.\nLarge-scale simulation architecture and optimization.\nWe solve some of the most challenging computational problems in electronic design automation by combining algorithm innovation with robust software implementation.\nResponsibilities\nAs an Expert R&D Engineer, you will:\nProvide technical leadership in the development of advanced circuit simulation algorithms.\nInvestigate fundamental simulation challenges involving accuracy, convergence, performance, and scalability.\nDevelop innovative numerical algorithms for nonlinear circuit analysis and differential equation solving.\nImprove solver technologies, including sparse matrix algorithms, nonlinear solution methods, and numerical integration techniques.\nEvaluate and introduce advanced methods for simulation acceleration, including model order reduction, RC reduction, vector fitting, and parallel computation.\nAnalyze simulation performance and identify opportunities for significant improvements in runtime and memory efficiency.\nCollaborate with experts across circuit simulation, device modeling, RF simulation, software architecture, and applications engineering.\nTranslate customer and product challenges into algorithmic solutions.\nMentor engineers and provide technical guidance in simulation algorithms and software development practices.\nDrive technical discussions, design reviews, and long-term technology direction.\nRequired Qualifications\nAdvanced degree (Master's or Ph.D. preferred) in Electrical Engineering, Electrical Engineering and Computer Science (EECS), Computer Science, Applied Mathematics, Computational Science, or a related field.\nExtensive experience developing circuit simulation engines, numerical simulation software, or other large-scale scientific computing applications.\nStrong knowledge of nonlinear equation solving, Newton-Raphson methods, convergence techniques, and differential equation analysis.\nDeep understanding of sparse matrix algorithms and numerical linear algebra.\nExpert-level programming skills in C++ with experience developing large, maintainable software systems.\nAbility to analyze complex simulation behavior and translate mathematical concepts into reliable software implementations.\nStrong communication skills with the ability to collaborate effectively across electrical engineering and software engineering disciplines.\nPreferred Qualifications\nExperience with one or more of the following:\nStrong expertise in transient (TRAN) simulation techniques and numerical integration methods, e.g. Adaptive timestep control, Backward Euler, Trapezoidal, Gear integration methods, Local truncation error estimation, Convergence acceleration techniques, etc.\nSparse solver technologies, e.g. Matrix ordering, Sparse factorization, Iterative and direct linear solvers.\nModel order reduction and parasitic reduction:\nSemiconductor device modeling:\nHigh-performance computing:\nExperience using Python or Rust for prototyping, automation, and engineering productivity.\nPay Range:\nUSD $156,960.00 - 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