{"id":2284420,"url":"https://alion.io/job/intel-corporation-gpu-software-development-engineer-3","title":"GPU 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":"A","score":86,"open_postings":91,"ghost_share":0,"stale_share":0.527,"repost_share":0.044,"time_to_fill_p50_days":27,"computed_at":"2026-10-12T06:55:09Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":59000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":27},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Claude","optional":false},{"name":"Keras","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Fine-tuning","optional":true},{"name":"LLM","optional":true},{"name":"LoRA","optional":true},{"name":"PEFT","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"RAG","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-10-07T00:00:00Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-12T13:24:48Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Job Details:\nJob Description:\nAre you passionate about software validation, developing tools and AI Solutions, automating software validation process at scale . Then GPU IP Graphics team has opportunities for you. Our Graphics validation team is creating AI solutions, complex test tools and automated tests for Kernel Mode driver, Memory Managers, Virtualization graphics and compute apps automation at scale. We deliver Intel's Software Graphics, media, display driver solutions across client, server and embedded markets. This position requires involvement in all phases of design from pre-silicon emulation/simulation through post-silicon product launch, covering aspects of functionality, power and performance and debuggability. You will also get opportunities to work on innovation projects utilizing modern GenAI technologies to implement advanced AI solutions to domain specific content. In this position, you will have the opportunity to work with multiple teams such as OS Microsoft, BIOS, HW, Customer Engineering, multiple Graphics SW teams etc. The candidate should have passion for technology and software, outstanding communication and teamwork skills. In this position you will be responsible for working across Hardware and Software Architecture, Design, Simulation, development and Validation throughout the product lifecycle to deliver high performing, scalable and power efficient hardware and software solutions.Qualifications:\nMinimum QualificationsBachelor's degree with 8+ years of experience or Master's degree with 7+ years of software development or validation experience.\nDegree should be Computer Engineering or Computer Science\nHands on experience with one or more programming languages (C/C++) and/or scripting languages (Python)\nProficient in AI/ML frameworks (TensorFlow, PyTorch, Keras, scikit-learn)\nExperience in defining validation strategy and test plans, developing automated tests, driving debug for issue resolution\nA good understanding of Generative AI and LLMs: Possess knowledge of Generative AI and LLMs like Claude, GPT, Opus, with proven ability to train these models for information retrieval and Agentic/Skill Workflow applications to design and deploy GPU Driver Val test content\nStrong experience with graphic drivers, GPU hardware and low level GPU programming\nAbility to understand Intel Graphics HW and relevant specifications needed to develop/validate the software\nExperience working in systems (hardware/software) product development teams\nStrong attention to technical details, data analysis, documentation, problem solving and influencing skills, along with ability to work with different geographical locations\nStrong written and verbal communication skills\nDesire and ability to quickly learn and gain new knowledge\nPreferred Qualifications:\nExperience in Kernel Mode driver development, power management, memory management, scheduler, virtualization, and other components of kernel mode driver including Operating System Concepts\nStrong development experience in C/C++/Python\nFamiliarity with customization techniques at any level of the RAG pipeline such as model fine tuning, retrieval re-ranking, and hierarchical node parsing\nProven skills in using AI/ML techniques using structured and unstructured data\n• Knowledge of LLM fine tuning techniques like LoRA, PEFT, usage of pipelines, and other techniques like RAG, Prompt Engineering, Agentic and Skill based workflows automation\nJob Type:\nExperienced HireShift:\nShift 1 (India)Primary Location:\nIndia, BangaloreAdditional 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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