{"id":2985963,"url":"https://alion.io/job/intel-ai-model-optimization-engineer-2","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":90,"ghost_share":0.033,"stale_share":0.544,"repost_share":0.044,"time_to_fill_p50_days":30,"computed_at":"2026-11-02T06:13:15Z"}},"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":["George Town, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"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":"2026-10-19T00:00:00Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-11-02T07:34:56Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"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.\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. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.\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 2+ years of experience.\nProgramming in Python and/or C++.\nExperience with machine learning or deep learning frameworks such as PyTorch or TensorFlow.\nperformance analysis, profiling and optimization\nLinux and/or Windows operating systems.\nGit-based software development workflows.\nPreferred Qualifications and Experience:\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.\nJob Type:\nExperienced HireShift:\nShift 1 (Malaysia)Primary Location:\nMalaysia, PenangAdditional 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 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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