{"id":67201,"url":"https://alion.io/job/intel-corporation-ai-infrastructure-engineer","title":"AI Infrastructure 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":"B","score":84,"open_postings":101,"ghost_share":0.02,"stale_share":0.584,"repost_share":0.04,"time_to_fill_p50_days":27,"computed_at":"2026-10-19T05:45:15Z"}},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States","Santa Clara, United States","Hillsboro, United States","Folsom, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":112000,"max_usd":226000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":620},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"HPC","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Mixture of Experts","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Quantization","optional":false},{"name":"SGLang","optional":false},{"name":"vLLM","optional":false},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"CUTLASS","optional":true},{"name":"llama.cpp","optional":true},{"name":"Speculative Decoding","optional":true},{"name":"Triton","optional":true}],"status":"live","first_seen_at":"2026-08-20T00:00:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-18T16:21:57Z","board_verified":true,"closed_at":null,"days_open":60,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":60},"description":"Job Details:\nJob Description:\nWe are looking for a performance-obsessed AI Infrastructure Engineer to push LLM inference to its absolute limits on Intel's next-generation GPU architectures.\nIn this role, you will dive deep into the inference stack and redefine peak performance. You will work end-to-end across the stack: profiling bottlenecks, writing custom GPU kernels, and upstreaming your optimizations directly into industry-standard serving frameworks like vLLM and SGLang. Your optimizations will be instrumental in unlocking the full potential of Intel hardware for state-of-the-art generative AI workloads.\nWhat You Will Do\nDrive Inference Performance: Own the end-to-end optimization pipeline for running state-of-the-art LLMs on Intel GPUs.\nDeep Stack Optimization: Profile, diagnose, and resolve cross-stack performance bottlenecks.\nKernel Development and Integration: Design, write, and optimize custom high-performance kernels for critical attention mechanisms, MoE, quantization, and operator fusions.\nOpen Source Leadership: Upstream your architectural improvements and hardware backends directly into open-source repositories like vLLM, SGLang, and PyTorch, acting as a bridge between the hardware teams and the open-source community.\nShape the Hardware Roadmap: Apply roofline analysis and systematic profiling to decompose bottlenecks. You will partner with our architecture and compiler teams to shape future GPU roadmaps based on real-world GenAI workload data.\nShow passion about AI infrastructure and performance optimization.\nQualifications:\nMinimum Qualifications\nBachelors Degree in Computer Science, Software Engineering, Artificial Intelligence/Machine Learning, or related field and 4+ years experience, Masters Degree and 3+ years, OR PhD.\n3+ years of relevant software engineering experience in GPU computing, AI systems, or high-performance computing (HPC).\nProficiency in modern C++ and Python. You are comfortable reading and modifying complex systems-level code.\nPreferred Qualifications\nUnderstanding of CPU/GPU architecture.\nUnderstanding of modern LLM architectures and inference paradigms: attention mechanisms, KV caching, continuous batching, speculative decoding, and prefill-decode disaggregation.\nPrior open-source contributions to inference engines (vLLM, SGLang, PyTorch, llama.cpp).\nHands-on experience writing and optimizing custom GPU kernels using Triton, SYCL, CUDA/CUTLASS, or other DSLs.\nExperience with scale-out inference orchestration across multi-node topologies.\nYou leverage AI coding agents daily to accelerate your own workflow and benchmark generation. Your expertise will play a vital role in advancing Intel's AI technology. We invite you to bring your skills, experience, and passion for AI to make an impact-apply today.\nJob Type:\nExperienced HireShift:\nShift 1 (United States of America)Primary Location:\nUS, California, Santa ClaraAdditional Locations:\nUS, California, Folsom, US, Oregon, Hillsboro, US, Texas, AustinPosting 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/ABenefits\nWe offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.\nAnnual Salary Range for jobs which could be performed in the US: $170,500.00-315,490.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.Work Model for this Role\nThis role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * 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":4931,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Semiconductor Manufacturing","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-08-20T00:00:00Z"},{"event":"close","at":"2026-09-12T15:06:45Z"},{"event":"reopen","at":"2026-10-11T13:05:21Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 2,014 · green card filings: 487","filings_12m":2014,"filings_prev_12m":3001,"green_card_filings_12m":487,"median_offered_wage_usd":134579,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":461}],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.385,"p_room":0.28,"age_days":60,"expected_fill_days":27,"reasons":["conf:13","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-19T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/intel-corporation-ai-infrastructure-engineer","json_url":"https://alion.io/job/intel-corporation-ai-infrastructure-engineer.json","meta":{"generated_at":"2026-10-19T06:38:56Z","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":4227,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"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-ai-infrastructure-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-ai-infrastructure-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-ai-infrastructure-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-ai-infrastructure-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fintel-corporation-ai-infrastructure-engineer"}]}