{"id":2256358,"url":"https://alion.io/job/keysight-ai-platform-engineer","title":"AI Platform Engineer","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":"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":73000,"max_usd":154000,"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":"Apache Kafka","optional":false},{"name":"Dagster","optional":false},{"name":"Docker","optional":false},{"name":"HPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NATS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-09-09T07:55:00Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-12T10:57:18Z","board_verified":true,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"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.\nWe are looking for an Artificial Intelligence (AI) Platform Engineer to join our industry-leading data and IP management product team to build the Machine Learning Operations (MLOps) infrastructure that powers SOS AI, our AI lifecycle management platform that brings together Electronic Design Automation (EDA) and AI/ML workflows.\nResponsibilities\nDesign, build, and operate the SOS AI platform: the orchestration, tracking, messaging, and application services that run the AI/ML lifecycle on-premises.\nBuild experiment orchestration as versioned, reproducible workflows, with run context, task dependencies, execution tracking, and reliable replay.\nImplement asset registries and end-to-end lineage so every model, dataset, and result is traceable to the exact inputs, parameters, and workflow version that produced it.\nPackage and deploy the platform as a self-contained system that runs reliably in customer environments without dependence on external services.\nIntegrate the platform with engineering and EDA workflows so that data flows cleanly between tools and the experiment substrate.\nOwn platform reliability and performance: observability, scaling, upgrade paths, and operational tooling for the backend services.\nEstablish access control, audit trails, and reproducibility guarantees appropriate for IP-sensitive engineering data.\nCollaborate with ML engineers, product, and customers to turn AI/ML workflow needs into durable platform capabilities.\nQualifications\nBS, MS, or Ph.D. in Computer Science, Engineering, or related field\n5+ years building and operating AI or data platforms in production.\nHands-on experience with workflow orchestration, particularly Prefect (or comparable orchestrators such as Airflow or Dagster).\nStrong containerization and orchestration skills (Docker and Kubernetes) for building and deploying distributed backend services.\nSolid backend engineering in Python, including API design, relational databases (PostgreSQL), and service architecture.\nExperience with MLOpstooling such as experiment tracking and model registries (for example MLflow), and with messaging or eventingsystems (for example NATS or Kafka).\nExperience delivering on-premises or air-gapped systems, with a focus on reliability and operability.\nExperience with high-performance computing (HPC) environments and job schedulers is valued.\nExperience in semiconductor, EDA, or other engineering domains is a plus.\nCareers Privacy Statement ***Keysight is an Equal Opportunity Employer.***\nDesign, build, and operate the SOS AI platform: the orchestration, tracking, messaging, and application services that run the AI/ML lifecycle on-premises.\nBuild experiment orchestration as versioned, reproducible workflows, with run context, task dependencies, execution tracking, and reliable replay.\nImplement asset registries and end-to-end lineage so every model, dataset, and result is traceable to the exact inputs, parameters, and workflow version that produced it.\nPackage and deploy the platform as a self-contained system that runs reliably in customer environments without dependence on external services.\nIntegrate the platform with engineering and EDA workflows so that data flows cleanly between tools and the experiment substrate.\nOwn platform reliability and performance: observability, scaling, upgrade paths, and operational tooling for the backend services.\nEstablish access control, audit trails, and reproducibility guarantees appropriate for IP-sensitive engineering data.\nCollaborate with ML engineers, product, and customers to turn AI/ML workflow needs into durable platform capabilities.\nBS, MS, or Ph.D. in Computer Science, Engineering, or related field\n5+ years building and operating AI or data platforms in production.\nHands-on experience with workflow orchestration, particularly Prefect (or comparable orchestrators such as Airflow or Dagster).\nStrong containerization and orchestration skills (Docker and Kubernetes) for building and deploying distributed backend services.\nSolid backend engineering in Python, including API design, relational databases (PostgreSQL), and service architecture.\nExperience with MLOpstooling such as experiment tracking and model registries (for example MLflow), and with messaging or eventingsystems (for example NATS or Kafka).\nExperience delivering on-premises or air-gapped systems, with a focus on reliability and operability.\nExperience with high-performance computing (HPC) environments and job schedulers is valued.\nExperience in semiconductor, EDA, or other engineering domains is a plus.\nCareers Privacy Statement ***Keysight is an Equal Opportunity Employer.***","description_format":"text","description_chars":5346,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","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":"2026-10-11T03:56:46Z"}],"visa":[],"liveness":{"score":24,"band":"cold","label":"Long shot","p_open":1,"p_active":0.444,"p_room":0.55,"age_days":32,"expected_fill_days":22,"reasons":["conf:2","stale_co","win:tail","comp:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/keysight-ai-platform-engineer","json_url":"https://alion.io/job/keysight-ai-platform-engineer.json","meta":{"generated_at":"2026-10-12T12:26:18Z","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":19424,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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-ai-platform-engineer"},{"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-ai-platform-engineer"},{"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-ai-platform-engineer"},{"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-ai-platform-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkeysight-ai-platform-engineer"}]}