{"id":2193308,"url":"https://alion.io/job/qualcomm-ai-ml-engineer-2","title":"AI ML Engineer","company":{"id":94,"name":"Qualcomm","domain":"qualcomm.com","url":"https://alion.io/company/qualcomm","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":74,"open_postings":1170,"ghost_share":0.193,"stale_share":0.106,"repost_share":0.449,"time_to_fill_p50_days":75,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":56000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":23},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"LLM","optional":false},{"name":"Quantization","optional":false},{"name":"Transformers","optional":false},{"name":"LiteRT","optional":true},{"name":"llama.cpp","optional":true},{"name":"MLX ML","optional":true},{"name":"ONNX Runtime","optional":true},{"name":"PyTorch","optional":true},{"name":"PyTorch C++","optional":true},{"name":"Rest-Assured","optional":true},{"name":"TensorFlow","optional":true},{"name":"TFLite","optional":true},{"name":"Windows","optional":true}],"status":"live","first_seen_at":"2026-07-21T00:00:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-11T00:43:29Z","board_verified":true,"closed_at":null,"days_open":82,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":82},"description":"Company:\nQualcomm India Private LimitedJob Area:\nEngineering Group, Engineering Group > Software Applications Engineering General Summary:\nJob Description\nMore details below:\nJoin the exciting Generative AI team at Qualcomm focused on integrating cutting edge GenAI models on Qualcomm chipsets.\nThe team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of GenAI models on-device without a need for connection to the cloud.\nOur inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power.\nUtilize this power efficient hardware and Software stack to run traditional models, Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds!\nResponsibilities:\nIn this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs.\nAs an AI inferencing expert, you'll push the limits of performance from large models.\nYour mastery in deploying large C/C++ software stacks using best practices will be essential.\nYou'll stay on the cutting edge of GenAI advancements, understanding LLMs/Transformers and the nuances of edge-based GenAI deployment.\nMost importantly, your passion for the role of edge in AI's evolution will be your driving force.\nRequirements:\nMaster’s/Bachelor’s degree in computer science or equivalent.\n3+ years of relevant work experience in software development. (Bachelors)\nStrong understanding of Generative AI models - LLM, LVM and LLMs and building blocks\nFloating-point, Fixed-point representations and Quantization concepts.\nExperience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU).\nStrong development skills in C/C++\nExcellent analytical and debugging skills.\nGood communication skills (verbal, presentation, written).\nAbility to collaborate across a globally diverse team and multiple interests.\nPreferred Qualifications\n· Strong understanding of SIMD processor architecture and system design.\n· Proficiency in object-oriented software development.\n· Familiarity with Linux and Windows environment\n· Strong background in kernel development for SIMD architectures.\n· Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus.\n· Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred.\n· Experience with parallel computing systems and Assembly is a plus.\nMinimum Qualifications:\nBachelor's degree in Engineering, Information Systems, Computer Science, or related field.\nThis was for a senior engineer role. Please modify experience for engineer role\nMinimum Qualifications:\n• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail  or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).\nQualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.\nTo all Staffing and Recruiting Agencies:Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. 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