{"id":1642974,"url":"https://alion.io/job/intel-corporation-ai-software-technical-intern","title":"AI Software Technical Intern","company":{"id":35,"name":"Intel Corporation","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":62,"ghost_share":0,"stale_share":0.613,"repost_share":0.032,"time_to_fill_p50_days":29,"computed_at":"2026-10-03T05:45:00Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":60000,"max_usd":102000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":145},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Accelerate","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"C++","optional":false},{"name":"CMake","optional":false},{"name":"Copilot","optional":false},{"name":"DirectX","optional":false},{"name":"Git","optional":false},{"name":"HPC","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenCL","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"SystemC","optional":false},{"name":"Unix","optional":false},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"Google Test","optional":true},{"name":"Prompt Engineering","optional":true}],"status":"live","first_seen_at":"2026-10-01T22:38:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-03T23:41:49Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Details:\nJob Description:\nRole Overview\nWe are seeking a driven and curious Technical Intern to join our AI Software and Hardware Architecture team. In this role, you will work at the intersection of next-generation GPU architecture, performance simulation, and modern AI engineering.\nOur team develops architectural models and virtual platforms (VPs) to project, evaluate, and optimize the performance of future high-performance computing (HPC) and AI GPU architectures before silicon is taped out. As part of this mission, you will actively integrate the latest generative AI capabilities-including GitHub Copilot, custom Large Language Model (LLM) agents, and developer tooling integrations-directly into our architectural modeling, automated testing, and performance analysis pipelines.\nThis internship offers an opportunity to gain hands-on experience with production-scale architectural simulators while pioneering modern, AI-augmented hardware engineering practices.\nKey Responsibilities\n Virtual Platform Development and Architecture Simulation\nCollaborate with senior architects to develop, calibrate, and validate cycle-approximate or cycle-accurate Virtual Platform (VP) models for future GPU architectures (compute engines, memory fabric, cache hierarchies, and interconnects). \nImplement functional and performance simulation components in modern C++ and SystemC/TLM frameworks. \nAssist in porting, configuring, and executing graphics and compute workloads (e.g., PyTorch, SYCL, OpenCL, Vulkan/DirectX) across simulated environments.\n AI-Augmented Workflow Integration and Automation\nAccelerate development and debugging efficiency by leveraging GitHub Copilot and state-of-the-art LLM capabilities across team repositories. \nPrototype and deploy agentic AI workflows and tools (e.g., Model Context Protocol [MCP] integrations, automated log and trace summarization, error diagnosis). \nBuild AI-assisted test generation tools and validation scripts using Python and unit testing frameworks (e.g., GoogleTest).\nPerformance Analysis and Telemetry\nCollect, profile, and analyze trace-driven simulation data to pinpoint memory subsystem bottlenecks, cache miss penalties, and pipeline stalls. \nCreate automated visualization dashboards and reporting scripts to present performance trade-offs to senior architecture and design teams. \nInvestigate anomaly detection in large-scale simulation telemetry using machine learning and statistical analysis techniques.\nQualifications:\nMinimum Qualifications\nCurrently enrolled in an accredited Master's or Ph.D. program in Computer Science, Computer Engineering, Electrical Engineering, or a closely related discipline. \nStrong proficiency in C++ (modern C++17/20 preferred) and Python. \nSolid foundational knowledge of computer architecture principles (cache hierarchies, memory coherence, pipelining, and vector/SIMD processing).\nExperience with Linux/Unix environments, version control systems (Git), and modern build pipelines (CMake, Ninja).\nFamiliarity with utilizing AI developer tooling (e.g., GitHub Copilot, Anthropic APIs, or local LLM runtimes) for software engineering.\nPreferred Qualifications\nPrior coursework or project experience in:\nGPU architecture, parallel programming, or accelerated computing (CUDA, SYCL, OpenCL, or GPU compute APIs). \nVirtual Platforms, architectural simulators (e.g., gem5, SystemC/TLM, or proprietary simulator platforms). \nSoftware testing and test-driven development (TDD) using frameworks like GoogleTest (gtest). \nExperience building LLM-assisted developer agents, prompt engineering pipelines, or custom developer automation tooling. \nFamiliarity with hardware/software co-design concepts and performance modeling methodologies.\nWhat we offer\nMentorship from industry-leading Principal Engineers and Architects in GPU architecture and AI system design.\nExposure to pre-silicon hardware validation methodologies used across world-class compute products.\nAn innovative environment where you are encouraged to experiment with and deploy the latest generative AI paradigms into traditional systems engineering.\nCompetitive intern compensation, technical networking events, and career development sessions\nWe invite you to join us in shaping the future of AI technology and making a meaningful impact on the world. This role offers an exciting opportunity to grow, innovate, and contribute to Intel's mission of delivering world-class solutions for a connected and intelligent future.\nPlease note, this is a 6-month internship opportunity located in Santa Clara, CA. Target start date is January - 2027.\nJob Type:\nStudent / InternShift:\nShift 1 (United States of America)Primary Location:\nUS, California, Santa ClaraAdditional 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/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: $133,498.00-170,602.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role 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":6612,"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":[]},"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":"2026-10-01T22:38:00Z"}],"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":"2026-10-03T21:08:04+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":0}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":1,"expected_fill_days":29,"reasons":["conf:1","stale_co","velocity","win:early","comp:junior,brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/intel-corporation-ai-software-technical-intern","json_url":"https://alion.io/job/intel-corporation-ai-software-technical-intern.json","meta":{"generated_at":"2026-10-04T01:32:11Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2000,"day_limit":5000,"remaining_today":3000,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}