{"id":2985998,"url":"https://alion.io/job/intel-ai-model-optimization-engineer-3","title":"AI Model Optimization 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":124,"ghost_share":0.024,"stale_share":0.556,"repost_share":0.04,"time_to_fill_p50_days":24,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","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":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":172000,"max_usd":334000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":477},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"C++","optional":true},{"name":"Git","optional":true},{"name":"LLM","optional":true},{"name":"OpenCL","optional":true},{"name":"OpenVINO","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true},{"name":"Vision-Language-Action","optional":true},{"name":"VLM","optional":true},{"name":"Windows","optional":true}],"status":"live","first_seen_at":"2026-10-15T00:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-23T17:59:23Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Job Details:\nJob Description:\nThe Role and Impact\nIntel is seeking an AI Model Performance Optimization Engineer to help deliver high-performance AI solutions that enable the next generation of client computing experiences. In this role, you will enable, validate, benchmark, optimize, and debug AI models to ensure they run efficiently and accurately across Intel hardware platforms.\nWorking at the intersection of artificial intelligence, machine learning frameworks, software engineering, and hardware acceleration, you will collaborate with engineers across Intel to improve AI model performance, scalability, and adoption by customers and partners worldwide.\nThis is an exciting opportunity for engineers passionate about Generative AI, machine learning systems, model optimization, and performance engineering who want to influence technologies used by millions of people globally.\nWhat You Will Do\nKey responsibilities will include but not limited to:\nEnable, validate, benchmark, and optimize AI models on Intel platforms.\nAnalyze model performance and identify optimization opportunities.\nDebug issues across AI frameworks, software stacks, and hardware platforms.\nDevelop and execute tests to ensure model functionality, accuracy, and performance.\nCollaborate with software, hardware, compiler, and architecture teams to solve technical challenges.\nUtilize AI-assisted development tools to improve engineering productivity.\nContribute code, bug fixes, documentation, and test coverage to internal and open-source projects.\nWork effectively with globally distributed engineering teams.\nMentor junior engineers and share technical expertise across the team.\nBehavioral traits that we are looking for:\nCuriosity and Learning Agility: Demonstrates a passion for learning emerging AI technologies, frameworks, and development methodologies.\nProblem Solving: Approaches complex technical challenges with structured analysis and creative thinking.\nOwnership: Takes initiative, drives issues to resolution, and delivers high-quality results with accountability.\nCollaboration: Works effectively across software, hardware, architecture, and product teams to achieve shared objectives.\nAdaptability: Thrives in fast-paced environments where priorities and technologies evolve rapidly.\nCommunication: Communicates complex technical concepts clearly to both technical and non-technical audiences.\nGlobal Teamwork: Works effectively across geographically distributed teams and diverse perspectives.\nIntel invests in our people and offers a complete and competitive package of benefits employees and their families through every stage of life.\nSee Intel Benefits for more details. \nQualifications:\nYou must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.\nNote:\nFor information on Intel’s immigration sponsorship guidelines, please see\nIntel U.S. Immigration Sponsorship Information\nMinimum Qualifications and Experience:\nBachelor's degree in a Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related technical discipline with 3+ years of hands-on experience in AI frameworks, algorithms, and programming OR Master's degree in the same field with 1+ years of experience.\nYour experience described above must be in the following:\nProgramming in Python and/or C++.\nExperience with machine learning or deep learning frameworks such as PyTorch or TensorFlow.\nPerformance analysis, profiling and optimization.\nPreferred Qualifications and Experience:\nLinux and/or Windows operating systems.\nGit-based software development workflows.\nExperience with GenAI models (LLM, VLM, VLA) or OpenVINO.\nUnderstanding of parallel programming, preferably with experience in SYCL or OpenCL.\nPrevious publications or contributions to AI research.\nFamiliarity with OpenVINO or other AI inference frameworks.\nExperience contributing to open-source software projects.\nWhy Join Intel\nAt Intel, you'll help shape the future of AI by developing technologies that improve the performance and efficiency of AI applications used worldwide. You'll collaborate with industry-leading engineers, work across the AI software and hardware stack, and contribute to innovative solutions that power next-generation computing experiences.\nJob Type:\nExperienced HireShift:\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: $149,750.00-275,580.00 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. 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