{"id":1991233,"url":"https://alion.io/job/hipeac-ai-driven-multi-agents-for-eda-productivity-and-autonomous-dse","title":"AI-Driven Multi-Agents for EDA Productivity and Autonomous DSE","company":{"id":1803494,"name":"HiPEAC","domain":"hipeac.net","url":"https://alion.io/company/hipeac","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"A","score":89,"open_postings":23,"ghost_share":0,"stale_share":0.435,"repost_share":0,"time_to_fill_p50_days":44,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Hardware","role_family":"Hardware","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Madrid, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Digital Twin","optional":false},{"name":"OpenROAD Project","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Verilator","optional":false},{"name":"Verilog","optional":false},{"name":"VHDL","optional":false},{"name":"Yosys","optional":false},{"name":"C++","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"SystemVerilog","optional":true}],"status":"closed","first_seen_at":"2025-10-31T11:57:04Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-11-04T23:10:37Z","board_verified":false,"closed_at":"2026-11-04T23:10:37Z","days_open":369,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":368},"description":"HiPEAC The Center for Industrial Electronics (CEIMM) at Universidad Politécnica de Madrid (UPM) is offering two PhD positions within a new regional research initiative focused on applying AI-driven methodologies to Electronic Design Automation (EDA). These positions align with a synergistic effort to combine multi-agent learning, generative AI, and Digital Twin frameworks to enhance the efficiency, accuracy, and sustainability of semiconductor digital design flows.\nThe selected PhD candidates will investigate and develop novel multi-agent AI systems that guide various stages of the EDA flow, from RTL generation and optimization to physical design and layout. Each agent will specialize in a specific stage of the flow and interact with a shared Digital Twin representation that captures real-time simulation feedback, including physical constraints such as thermal or power-aware models. The goal is to enable a closed-loop optimization framework that is adaptable, explainable, and efficient.\nThe research will involve integrating open-source tools such as CircuitOps and OpenROAD, and creating structured datasets for AI training, with fallback plans for dataset generation through simulation or synthetic augmentation. Candidates will explore reinforcement learning, LLMs, and hybrid AI approaches for adaptive optimization of EDA processes. Special attention will also be given to sustainability concerns, including the energy cost of AI models and the environmental impact of design flows.\nCandidate Profile:\nMSc in Computer Engineering, Electronic Engineering, Embedded Systems, or related field\nKnowledge of HDL (VHDL/Verilog), logic synthesis, or EDA toolchains\nProgramming experience in Python and ML frameworks (e.g., PyTorch, TensorFlow)\nStrong interest in AI for hardware design and digital twin technologies\nFamiliarity with open-source EDA tools (Yosys, OpenROAD, Verilator)\nKnowledge of graph-based models, reinforcement learning, or LLMs\nBackground in hardware design workflows, optimization, or thermal/electrical simulation\nYour Job\nThe candidate will develop a hierarchical multi-agent AI framework, design adaptive control mechanisms for EDA flows, integrate and validate digital twin simulations, and prototype AI-driven feedback pipelines. The work will include collaborative research with academic and industrial partners, publication in high-impact venues, and the supervision of junior researchers. The candidate may also participate in teaching activities up to two semesters as a teaching assistant.\nSalary and Conditions\nBASIC QUALIFICATIONS: Master’s degree in Electrical /Electronics / Computer Engineering, Computer Science, Physics, or similar. Previous research activities in the fields of interest will be highly appreciated.\nPREFERRED SKILLS: Very good knowledge of digital hardware design and SystemVerilog/VHDL; High-level synthesis tools for FPGAs; C/C++ programming for embedded systems. Experience with RISC-V processors is also valuable. A high level of English is required; Spanish is optional.\nPOSITION AVAILABLE: The selection procedure will remain open until the position is covered. The starting date is flexible, but we prefer it to be ASAP.\nINFORMATION: If you are interested in this position and want to have more details about it, please contact Dr. José Miranda Calero () and Dr. Andrés Otero (), including the reference [PhD_AI4EDA] in the subject of your mail. For the application, the following documents will be required:\nCV\nAcademic transcript of courses followed and grades obtained provided by your institution.\nBrief letter describing your motivation and previous experience.\nAbout\nUniversidad Politécnica de Madrid (UPM)\nAlso known as: UPM\nThe Technical University of Madrid (UPM) is Spain's largest technical university, offering diverse programs, fostering international collaborations, and excelling in research and innovation across multiple disciplines.\nSummary\nThe Universidad Politécnica de Madrid offers two PhD positions in AI-driven methodologies for EDA, focusing on multi-agent systems to enhance semiconductor design efficiency and sustainability.","description_format":"text","description_chars":4170,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["E-learning","Virtual Events"],"lifecycle":[{"event":"open","at":"2026-10-07T06:30:38Z"},{"event":"close","at":"2026-11-04T23:10:37Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/hipeac-ai-driven-multi-agents-for-eda-productivity-and-autonomous-dse","json_url":"https://alion.io/job/hipeac-ai-driven-multi-agents-for-eda-productivity-and-autonomous-dse.json","meta":{"generated_at":"2026-11-06T19:23:49Z","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":2641,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"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":1803494},"rest":"https://alion.io/mcp/rest/get_company?id=1803494"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhipeac-ai-driven-multi-agents-for-eda-productivity-and-autonomous-dse"},{"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%2Fhipeac-ai-driven-multi-agents-for-eda-productivity-and-autonomous-dse"},{"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%2Fhipeac-ai-driven-multi-agents-for-eda-productivity-and-autonomous-dse"},{"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/hipeac-ai-driven-multi-agents-for-eda-productivity-and-autonomous-dse\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhipeac-ai-driven-multi-agents-for-eda-productivity-and-autonomous-dse"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1991233}},{"tool":"search_jobs","arguments":{"company":"hipeac.net","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1991233},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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