{"id":2284393,"url":"https://alion.io/job/intel-corporation-ai-frameworks-engineer-intern","title":"AI Frameworks Engineer - Intern","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":86,"open_postings":91,"ghost_share":0,"stale_share":0.527,"repost_share":0.044,"time_to_fill_p50_days":27,"computed_at":"2026-10-12T06:55:09Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Gdańsk, Poland"],"countries":["PL"],"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":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Mixture of Experts","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"Triton","optional":false},{"name":"vLLM","optional":false},{"name":"C++","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"GitHub","optional":true},{"name":"OpenCL","optional":true},{"name":"PyTorch","optional":true},{"name":"PyTorch C++","optional":true}],"status":"live","first_seen_at":"2026-10-08T00:00:00Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-12T06:05:22Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Details:\nJob Description:\nThe Role and Impact\nIntel is building the open software stack that makes large language models run fast on Intel GPUs. As an intern, you will join the engineering team that develops and optimizes LLM inference frameworks. You will work in vLLM and in the GPU kernel libraries beneath it with experienced engineers who will review your code and mentor you. This is a hands-on engineering internship, not a side project. You will write and test kernels, measure where performance goes, and see your changes land in open-source projects used across the AI industry.\nOur internships usually last 12-24 months, and you will work with us part-time alongside your university degree. All applicants must be current university students and must remain students for the length of the internship. Candidates must be based in Poland on the internship start date and for its full duration.\nKey Responsibilities\n- Develop and optimize AI framework software for LLM inference on Intel GPUs, under the guidance of senior engineers, with contributions going upstream to open-source projects such as vLLM.\n- Implement, port, and tune compute kernels (e.g., Triton, SYCL) for core transformer building blocks such as attention, sampling, normalization, mixture-of-experts, and quantization.\n- Run benchmarks and profile inference workloads to find performance bottlenecks, measure them, and report findings to the team.\n- Write and extend unit tests, correctness checks, and performance regression tests so that framework and kernel code stays reliable as upstream moves.\n- Investigate and debug failures across the stack, from Python framework code down to kernel behaviour on the hardware.\n- Collaborate with framework, compiler, and kernel engineers across global teams, and take part in code review and technical discussion with the open-source community.\nQualifications:\nMinimum Qualifications\nNo professional experience is required.\n- Currently pursuing a BS or MS degree in Computer Science, Computer Engineering, AI, Mathematics, Physics, or a related field. Student status is required for the whole internship, preferably for the next two years and for at least 12 months.\n- Good Python programming skills.\n- Understanding of deep learning and neural networks, including the basics of transformer architecture and LLM inference. \n- Familiarity with Linux environments from a user perspective.\n- Strong analytical thinking and problem-solving skills.\n- Eagerness to learn, an open mind, and the ability to work in a team.\n- Ability to communicate clearly and concisely in English.\nPreferred Qualifications\n- Hands-on experience with PyTorch.\n- Exposure to GPU programming (Triton, CUDA, SYCL, OpenCL, or similar), for example through coursework or personal projects.\n- Working knowledge of C or C++.\n- Experience testing and debugging Python code, including unit testing.\n- Familiarity with vLLM or another LLM inference serving framework.\n- Contributions to open-source projects, or a public portfolio of code (e.g., GitHub).\n- Coursework or interest in computer architecture, parallel programming, or numerical methods.\nBring your passion for AI, your curiosity, and your engineering drive to Intel, and help shape how the next generation of AI workloads runs on Intel hardware.\nJob Type:\nStudent / InternShift:\nShift 1 (Poland)Primary Location:\nPoland, GdanskAdditional 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/AEU Salary\nWe offer a total compensation package that ranks among the best in the industry.\nThe minimum Annual Salary for this job which could be performed in Poland is: 68 880,00 zł\n\nThe job posting reflects the minimum base compensation for this role. Our standard internship rates are aligned with the specific job role and degree level. As part of our total compensation approach, the final offer may also include additional pay components and benefits. Your recruiting team will provide the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.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.*","description_format":"text","description_chars":4752,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Semiconductor Manufacturing","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-11T13:05:21Z"}],"visa":[],"liveness":{"score":59,"band":"ok","label":"Likely open","p_open":1,"p_active":0.592,"p_room":1,"age_days":4,"expected_fill_days":27,"reasons":["conf:0","stale_co","win:early","comp:junior,brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/intel-corporation-ai-frameworks-engineer-intern","json_url":"https://alion.io/job/intel-corporation-ai-frameworks-engineer-intern.json","meta":{"generated_at":"2026-10-12T09:27:44Z","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":14389,"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":35},"rest":"https://alion.io/mcp/rest/get_company?id=35"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fintel-corporation-ai-frameworks-engineer-intern"},{"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-frameworks-engineer-intern"},{"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-frameworks-engineer-intern"},{"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-frameworks-engineer-intern\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fintel-corporation-ai-frameworks-engineer-intern"}]}