{"id":100791,"url":"https://alion.io/job/intel-corporation-platform-power-thermal-performance-engineer","title":"Platform Power Thermal Performance Engineer","company":{"id":35,"name":"Intel","domain":"intel.com","url":"https://alion.io/company/intel","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":91,"ghost_share":0.033,"stale_share":0.505,"repost_share":0.044,"time_to_fill_p50_days":30,"computed_at":"2026-10-29T05:49:05Z"}},"role":"DevOps","role_family":"DevOps","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":["Shanghai, China"],"countries":["CN"],"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":"C++","optional":true},{"name":"CUDA","optional":true},{"name":"Linux","optional":true},{"name":"Machine Learning","optional":true},{"name":"OpenCL","optional":true},{"name":"Python","optional":true},{"name":"ROCm","optional":true}],"status":"live","first_seen_at":"2026-08-12T00:00:00Z","employer_posted_date":"2026-08-12","last_verified_at":"2026-10-29T13:07:32Z","board_verified":true,"closed_at":null,"days_open":79,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":79},"description":"Job Details:\nJob Description:\nWe are looking for motivated graduate candidates who are interested in platform performance engineering for AI server platforms. In this role, you will learn and contribute to GPU-as-an-I/O-device performance validation and optimization, working across CPU host architecture, I/O subsystems, GPU device interactions, and server-level performance analysis. You will work with experienced engineers to develop validation methodologies, execute performance experiments, analyze results, and support technical issue investigation across reference designs and customer-oriented systems. This role provides a strong opportunity to build hands-on expertise in modern AI infrastructure, from single-server performance tuning to cluster-scale design concepts.Roles and Responsibilities\nLearn and contribute to topology validation and performance analysis for AI server platforms, covering CPU host, GPU, memory, storage, and network interactions.\nSupport validation plan development, benchmark execution, data collection, and result analysis for CPU host and GPU I/O performance studies.\nWork with senior engineers to debug performance issues, summarize findings, and propose practical improvement ideas from the host platform perspective.\nCollaborate with cross-functional teams to communicate test progress, document technical observations, and support issue closure under guidance.Qualifications:\nThis role is designed for graduate candidates who want to grow into platform performance engineers. You will have opportunities to develop practical expertise in AI server architecture, CPU host performance, GPU I/O behavior, benchmarking methodology, and at-scale platform optimization concepts. We value strong technical fundamentals, curiosity, hands-on learning ability, and clear communication.\n1. Solid fundamentals in computer architecture, operating systems, or computer systems, with interest in CPU, memory, and I/O subsystem behavior.\n2. Basic understanding of GPU computing, parallel programming, or accelerator-based systems; related coursework, research, or project experience is a plus.\n3. Interest in AI infrastructure and at-scale system concepts, including server architecture, scale-up/scale-out design, networking, and storage.\nCandidates should be upcoming graduates with a Master of Science degree, or higher, in Electrical Engineering, Computer Science, Computer Engineering, or a related technical field. The ideal candidate is passionate about learning new technologies, solving complex system problems, and improving validation efficiency through structured analysis and automation.\nSolid understanding of computer architecture and system fundamentals; exposure to concepts such as PCIe/CXL, coherency, IOMMU, NUMA, or host-device data movement is a plus.\nBasic knowledge of GPU architecture, GPU programming, or AI accelerator software stacks; experience with CUDA, ROCm, OpenCL, SYCL, or related frameworks is a plus.\nInterest in AI server and cluster-level system design, including GPU scale-up, server scale-out, networking, storage, and performance bottleneck analysis.\nFamiliarity with benchmark methodology, performance metrics, and experiment design; hands-on lab, coursework, internship, or research project experience is preferred.\nGood programming and scripting skills, such as Python, C/C++, or shell scripting, with the ability to automate tests, process data, and support performance analysis.\nExperience in system validation, performance testing, Linux-based development, machine learning/deep learning workloads, networking, storage, or GPU computing through internship, research, or academic projects is a plus.\nStrong learning agility, problem-solving mindset, teamwork, and ability to work in a fast-changing technical environment.\n• Good verbal and written English communication skills, with the ability to document technical findings clearly.\nJob Type:\nCollege GradShift:\nShift 1 (China)Primary Location:\nPRC, ShanghaiAdditional Locations:\nPosting Statement:\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of Trust\nN/AWork Model for this Role\nThis role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.*\nADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.","description_format":"text","description_chars":5060,"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":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Semiconductor Manufacturing","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-08-12T00:00:00Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.237,"p_room":0.28,"age_days":78,"expected_fill_days":30,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/intel-corporation-platform-power-thermal-performance-engineer","json_url":"https://alion.io/job/intel-corporation-platform-power-thermal-performance-engineer.json","meta":{"generated_at":"2026-10-30T00:31:56Z","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":587,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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":35},"rest":"https://alion.io/mcp/rest/get_company?id=35"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fintel-corporation-platform-power-thermal-performance-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%2Fintel-corporation-platform-power-thermal-performance-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%2Fintel-corporation-platform-power-thermal-performance-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/intel-corporation-platform-power-thermal-performance-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fintel-corporation-platform-power-thermal-performance-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":100791}},{"tool":"search_jobs","arguments":{"company":"intel.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":100791},"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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