{"id":2284377,"url":"https://alion.io/job/intel-corporation-gpu-software-engineer-2","title":"GPU Software 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":83,"open_postings":72,"ghost_share":0,"stale_share":0.639,"repost_share":0.042,"time_to_fill_p50_days":29,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Folsom, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":155000,"max_usd":299000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":413},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"Assembly","optional":true},{"name":"C++","optional":true},{"name":"CI/CD","optional":true},{"name":"DirectX","optional":true},{"name":"KV Cache","optional":true},{"name":"LLM","optional":true},{"name":"ONNX Runtime","optional":true},{"name":"OpenCL","optional":true},{"name":"OpenGL","optional":true},{"name":"OpenVINO","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"PyTorch C++","optional":true},{"name":"Quantization","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true},{"name":"WinDbg","optional":true}],"status":"live","first_seen_at":"2026-10-08T00:00:00Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-11T23:05:14Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Details:\nJob Description:\nAbout the Role\nJoin Intel's graphics software team and help deliver high-quality GPU experiences in AI domain.\nAs a GPU Software Engineer, you will develop, validate, debug, and optimize graphics software and GPU driver solutions across Intel platforms. You will work at the intersection of software and hardware, partnering with engineering teams to bring new graphics capabilities to market and solve complex system-level issues.\nThis is an opportunity to develop hands-on expertise across GPU architecture, graphics drivers, validation, debugging, performance, compute, and AI workloads.\nWhat You’ll Do\nKey responsibilities will include but not limited to:\nDevelop and execute end-to-end validation solutions for GPU software, graphics drivers, and applications.\nDebug and resolve complex software, driver, and system-level issues impacting GPU functionality, quality, and performance.\nTriage defects, perform root-cause analysis, and collaborate with software and hardware engineering teams to drive issues to resolution.\nDevelop and maintain software, automation, and debugging tools that improve validation efficiency and product quality.\nAnalyze cross-component interactions and identify potential quality, performance, and compatibility issues.\nPerform validation, triage, and debugging of GPU compute drivers, runtime layers, and AI framework integration failures across software and hardware teams.\nIntegrate latest AI features into end-to-end validation flows and analyze cross-component interactions to develop robust test scenarios.\nDevelop and maintain automation tools, benchmarking suites, and frameworks to improve validation and debug efficiency across AI compute and runtime components.\nOptimize software performance, memory efficiency, and quality for emerging AI workloads, deep learning inference, and agentic applications.\nEnable and validate forthcoming AI hardware acceleration capabilities for Intel's GPU platforms.\nCollaborate on cross-OS software development and validation for GPU-accelerated AI and machine learning workloads.\nBehavioral traits that we are looking for:\nTechnical curiosity: Motivated to understand how software, GPU hardware, drivers, operating systems, and applications interact.\nProblem-solving: Uses structured analysis and data to troubleshoot complex technical issues and identify root causes.\nProactive ownership: Identifies potential issues or opportunities early, takes initiative, and follows problems through to resolution.\nCollaboration: Works effectively across software, hardware, validation, and architecture teams to solve cross-functional problems.\nCommunication: Clearly communicates technical findings, risks, and recommendations to technical stakeholders.\nLearning agility: Quickly learns new GPU architectures, graphics technologies, tools, APIs, and development environments.\nQuality mindset: Demonstrates attention to detail and considers product quality, reliability, performance, and the end-user experience when making technical decisions.\nAdaptability: Effectively manages changing requirements and priorities in a fast-paced engineering environment\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 field with 3+ years of relevant experience; OR \nMaster's degree in the field with 1+ years of relevant experience.\nYour experience described above must be in the following:\nSoftware development using C, C++, or Python.\nExperience with AI validation workloads such as LLM inference evaluation, and agentic framework integration.\nHands-on experience with machine learning frameworks and runtimes such as PyTorch, OpenVINO, ONNX Runtime, or TensorFlow.\nExperience with industry-standard APIs and frameworks such as DirectX, OpenGL, OpenCL, or Vulkan.\nPreferred Qualifications and Experience:\nExperience with validation, triage, or debugging computer graphics hardware and software.\nProven expertise in optimizing GPU compute software for throughput and latency (e.g., operator fusion, KV-cache optimization, low-bit quantization like INT4/INT8/FP8).\nFamiliarity with cross-OS profiling and debug tools such as WinDbg, GPUView, GDB, Intel VTune, emulators, or JTAG-debuggers.\nExperience with CI/CD practices, automated validation frameworks, and containerized cross-platform testing environments.\nStrong collaboration skills and passion for staying updated on emerging AI algorithms and hardware acceleration technologies.\nWhy Join Intel?\nHelp shape the future of GPU computing by developing and validating graphics technologies that power gaming, content creation, media, and emerging AI experiences. You'll solve challenging problems across hardware and software while working with engineers bringing next-generation Intel graphics capabilities from development to real-world products.\nJob Type:\nExperienced HireShift:\nShift 1 (United States of America)Primary Location:\nUS, California, FolsomAdditional 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: $111,030.00-211,200.00 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 require an on-site presence. * 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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