{"id":2985976,"url":"https://alion.io/job/intel-senior-ai-software-development-engineer","title":"Senior AI Software Development 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":88,"ghost_share":0.034,"stale_share":0.523,"repost_share":0.045,"time_to_fill_p50_days":30,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Folsom, United States","Santa Clara, United States","Hillsboro, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":168000,"max_usd":322000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1268},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Apache TVM","optional":true},{"name":"C++","optional":true},{"name":"CUDA","optional":true},{"name":"llama.cpp","optional":true},{"name":"LLVM","optional":true},{"name":"MLIR","optional":true},{"name":"ONNX Runtime","optional":true},{"name":"OpenCL","optional":true},{"name":"OpenVINO","optional":true},{"name":"PyTorch","optional":true},{"name":"Quantization","optional":true},{"name":"TensorRT","optional":true},{"name":"vLLM","optional":true},{"name":"XLA","optional":true}],"status":"live","first_seen_at":"2026-10-16T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-24T03:51:18Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Job Details:\nJob Description:\nWhy Join Us\nJoin a team shaping the future of AI on Intel platforms. You will work on cutting-edge technologies that accelerate Large Language Models, Generative AI, and other advanced AI workloads on next-generation Intel GPUs. This role offers the opportunity to collaborate with experts across hardware architecture, compilers, runtime systems, and AI frameworks while developing skills that span the full AI software stack. Your work will have direct impact on delivering industry-leading AI performance and enabling the next generation of AI applications.\nIntel is seeking a Senior AI Systems Software Engineer to drive optimization strategy and technical leadership across the AI software stack. In this role, you will lead the development of high-performance software solutions that accelerate AI inference workloads, including Large Language Models (LLMs), Generative AI, and emerging machine learning applications on Intel GPU platforms.\nYou will work across software, compilers, runtimes, frameworks, and hardware architecture teams to deliver breakthrough AI performance and influence future product direction.\nWhat You’ll Do\nKey responsibilities will include but not limited to:\nLead optimization initiatives for AI inference workloads on Intel GPUs.\nDefine and drive performance optimization strategies across compilers, runtimes, and GPU kernels.\nArchitect software solutions that improve scalability, efficiency, and performance.\nProfile, benchmark, and analyze complex AI workloads to identify system bottlenecks.\nInfluence hardware and software co-design decisions through performance characterization and workload analysis.\nDrive cross-functional technical initiatives spanning architecture, compiler, framework, and runtime teams.\nMentor engineers and provide technical leadership across projects.\nEvaluate emerging AI technologies and identify future optimization opportunities.\nBehavioral traits that we are looking for:\nDemonstrates exceptional technical judgment and the ability to solve complex, high-impact challenges.\nThinks strategically across the software and hardware stack, identifying opportunities to improve performance, scalability, and efficiency.\nLeads through influence, building alignment and driving outcomes across cross-functional organizations.\nCommunicates effectively with both technical and business audiences, translating complex concepts into actionable insights.\nOperates with a strong sense of ownership and accountability, driving initiatives from strategy through execution.\nUses data, experimentation, and measurable results to inform decisions and guide technical direction.\nDevelops and elevates talent through mentorship, collaboration, and technical leadership.\nBrings an innovation mindset and a passion for advancing the future of AI computing.\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 Computer Science, Computer Engineering, Electrical Engineering, or a related technical field with 5+ years or experience. Or a Master's degree in the same field with 3+ years of experience or a PhD in the same filed with 1+ years of experience.\nYour experience described above must be in the following:\nExperience in software development, AI systems, or performance engineering.\nC++ software development and debugging\nExperience with performance analysis, profiling, and optimization of compute-intensive applications.\nExperience with modern neural network architectures and their execution on hardware accelerators.\nPreferred Qualifications and Experience:\nGPU architectures, AI accelerators, or parallel computing systems.\nExperience optimizing end-to-end AI inference workloads in production environments.\nFamiliarity with AI inference frameworks such as llama.cpp, vLLM, OpenVINO, PyTorch, TensorRT, ONNX Runtime, or similar technologies.\nExperience with graph compilation and optimization technologies such as MLIR, LLVM, TVM, XLA, or related compiler frameworks.\nExperience with GPU programming models such as Vulkan Compute, OpenCL, SYCL, CUDA, HIP or equivalent technologies.\nKnowledge of neural network optimization techniques, quantization, kernel fusion, memory optimization, and performance tradeoffs.\nExperience across multiple layers of the AI software stack, including:AI inference runtimes and serving frameworks\nGraph compilers and optimization frameworks\nGPU kernels and performance-critical compute code\nExperience contributing to open-source software projects is a plus.\n\nWhy Join Intel\nYou'll help shape the future of AI computing by solving some of the industry's most challenging performance problems. Working alongside leading experts in AI, GPU architecture, compilers, and systems software, you'll have the opportunity to influence next-generation technologies that power AI at scale.\nJob Type:\nExperienced HireShift:\nShift 1 (United States of America)Primary Location:\nUS, California, FolsomAdditional Locations:\nUS, California, Santa Clara, US, Oregon, HillsboroPosting 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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