{"id":2256877,"url":"https://alion.io/job/keysight-sr-applied-ml-engineer-physics-driven-systems-optimization","title":"Sr Applied ML Engineer – Physics-Driven Systems & Optimization","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":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":61000,"max_usd":129000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Data Augmentation","optional":false},{"name":"HPC","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"PPO","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"SLURM","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2025-10-31T11:12:00Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-11T17:40:26Z","board_verified":true,"closed_at":null,"days_open":345,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":344},"description":"OverviewKeysight 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 moreabout 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.\nAbout Keysight AI Labs\nKeysight’s AI Labs is a global R&D group pioneering the integration of machine learning, generative AI into Keysight’s test, measurement, and design solutions. Our mission is to transform how engineers design, simulate, and validate advanced systems- from 6G and semiconductors to quantum and automotive - by embedding AI throughout our workflows.\nAbout the AI Team\nJoin Keysight's central AI Hub in the heart of Barcelona. We are expanding our newly formed AI Team. As part of this growing team, you will join a vibrant, cross-functional environment that brings together experts in ML engineering, data science, physics-informed modeling, and software development. You’ll work closely with domain experts across RF, EM, circuit design, and test & measurement to accelerate scientific innovation through AI.\nAbout the Role\nAs a Senior Applied Machine Learning Engineer, you will design, implement, and deploy state-of-the-art ML architectures that merge physics insights, numerical optimization, and modern AI techniques.\nYou’ll contribute to building scalable and explainable ML systems, from geometry-aware GNNs and Transformers to reinforcement learning and generative models, that drive design automation, anomaly detection, and optimization in Keysight’s next-generation platforms.\nResponsibilities\nPartner with Keysight experts in RF, EM, circuit, and measurement domains to translate physical constraints and design workflows into ML-ready formulations.\nDesign and implement advanced ML architectures: Graph Neural Networks (GNNs) for geometry/topology-aware modeling\nTransformers for sequential and multimodal data\n Vision Models (CNNs, ViTs) for field- or spectrogram-based detection\n Generative Models (GANs, Diffusion) for data augmentation and design candidate generation\n\nApply advanced optimization and control methods:Bayesian, gradient-based, and gradient-free optimization\nReinforcement Learning (PPO, DDPG, SAC) for continuous tuning and control tasks\n\nDevelop scalable training and inference pipelines (multi-GPU, HPC, AWS) ensuring efficiency and reliability.\nWrite production-ready code in Python, C++, and CUDA, integrating with CI/CD pipelines and performance profiling tools.\nBenchmark ML and RL models against physics simulators and measurement datasets for robustness and reproducibility.\nCollaborate with product teams to embed AI/ML-based optimization and generative modules into Keysight software.\nStay current with the latest ML, RL, and generative AI research; evaluate and prototype promising new techniques.\nQualifications\nRequired Qualifications\nMaster’s or PhD in Applied Mathematics, Scientific Computing, Computer Science, Electrical Engineering, or related field\n\n5+ years of experience applying scientific computing and optimization to real-world problems (e.g., RF, EM, or measurement systems)\n\nStrong hands-on experience with modern ML architectures (GNNs, Transformers, Vision Models, Neural Operators)\n\nPractical experience with generative models (GANs, VAEs, Diffusion)\n\nBackground in Bayesian and numerical optimization and hyperparameter tuning\n\nApplied experience with reinforcement learning (PPO, DDPG, SAC)\n\nProficiency in Python, C++, CUDA, and GPU performance optimization\n\nExperience with multi-GPU/distributed training in HPC or cloud (Slurm, MPI, AWS)\n\nSolid software-engineering discipline (testing, CI/CD, modular design)\n\nExcellent communication and collaboration skills across cross-functional teams\n\nDesired Qualifications\nExperience applying ML/RL/generative models to parameter tuning, data augmentation, or design exploration\n\nFamiliarity with Keysight simulation tools (ADS, RFPro, EMPro, Signal Studio, RaySim)\n\nPublications or patents in scientific ML, generative modeling, RL, or optimization\n\nExperience deploying ML/RL systems in production or embedded workflows\n\nCareers Privacy Statement ***Keysight is an Equal Opportunity Employer.***\nPartner with Keysight experts in RF, EM, circuit, and measurement domains to translate physical constraints and design workflows into ML-ready formulations.\nDesign and implement advanced ML architectures: Graph Neural Networks (GNNs) for geometry/topology-aware modeling\nTransformers for sequential and multimodal data\n Vision Models (CNNs, ViTs) for field- or spectrogram-based detection\n Generative Models (GANs, Diffusion) for data augmentation and design candidate generation\n\nApply advanced optimization and control methods:Bayesian, gradient-based, and gradient-free optimization\nReinforcement Learning (PPO, DDPG, SAC) for continuous tuning and control tasks\n\nDevelop scalable training and inference pipelines (multi-GPU, HPC, AWS) ensuring efficiency and reliability.\nWrite production-ready code in Python, C++, and CUDA, integrating with CI/CD pipelines and performance profiling tools.\nBenchmark ML and RL models against physics simulators and measurement datasets for robustness and reproducibility.\nCollaborate with product teams to embed AI/ML-based optimization and generative modules into Keysight software.\nStay current with the latest ML, RL, and generative AI research; evaluate and prototype promising new techniques.\nRequired Qualifications\nMaster’s or PhD in Applied Mathematics, Scientific Computing, Computer Science, Electrical Engineering, or related field\n\n5+ years of experience applying scientific computing and optimization to real-world problems (e.g., RF, EM, or measurement systems)\n\nStrong hands-on experience with modern ML architectures (GNNs, Transformers, Vision Models, Neural Operators)\n\nPractical experience with generative models (GANs, VAEs, Diffusion)\n\nBackground in Bayesian and numerical optimization and hyperparameter tuning\n\nApplied experience with reinforcement learning (PPO, DDPG, SAC)\n\nProficiency in Python, C++, CUDA, and GPU performance optimization\n\nExperience with multi-GPU/distributed training in HPC or cloud (Slurm, MPI, AWS)\n\nSolid software-engineering discipline (testing, CI/CD, modular design)\n\nExcellent communication and collaboration skills across cross-functional teams\n\nDesired Qualifications\nExperience applying ML/RL/generative models to parameter tuning, data augmentation, or design exploration\n\nFamiliarity with Keysight simulation tools (ADS, RFPro, EMPro, Signal Studio, RaySim)\n\nPublications or patents in scientific ML, generative modeling, RL, or optimization\n\nExperience deploying ML/RL systems in production or embedded workflows\n\nCareers Privacy Statement ***Keysight is an Equal Opportunity Employer.***","description_format":"text","description_chars":7223,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Simulation & Digital Twin Software","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-11T04:03:35Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.216,"p_room":0.28,"age_days":345,"expected_fill_days":22,"reasons":["conf:3","win:tail","crowd:brand"],"computed_at":"2026-10-11T21:11:04Z"},"pay":null,"html_url":"https://alion.io/job/keysight-sr-applied-ml-engineer-physics-driven-systems-optimization","json_url":"https://alion.io/job/keysight-sr-applied-ml-engineer-physics-driven-systems-optimization.json","meta":{"generated_at":"2026-10-11T21:11:04Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":9859,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":53596},"rest":"https://alion.io/mcp/rest/get_company?id=53596"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkeysight-sr-applied-ml-engineer-physics-driven-systems-optimization"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fkeysight-sr-applied-ml-engineer-physics-driven-systems-optimization"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fkeysight-sr-applied-ml-engineer-physics-driven-systems-optimization"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/keysight-sr-applied-ml-engineer-physics-driven-systems-optimization\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkeysight-sr-applied-ml-engineer-physics-driven-systems-optimization"}]}