{"id":959855,"url":"https://alion.io/job/qualcomm-generative-ai-engineer-senior-staffmanager-llmvlm","title":"Generative AI Engineer (Up to Senior Staff level)","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":"C","score":69,"open_postings":1050,"ghost_share":0.25,"stale_share":0.149,"repost_share":0.456,"time_to_fill_p50_days":74,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ho Chi Minh City, Vietnam","Hanoi, Vietnam"],"countries":["VN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":69000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1279},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"DeepSpeed","optional":false},{"name":"FSDP","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Distillation","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"Rest-Assured","optional":true}],"status":"live","first_seen_at":"2026-01-14T00:00:00Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-11-01T15:14:19Z","board_verified":true,"closed_at":null,"days_open":291,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":291},"description":"Company:\nQualcomm Vietnam Company LimitedJob Area:\nEngineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:\nAbout this role:\nQualcomm AI Research is at the forefront of on-device generative AI - pushing the boundaries of what smartphones, autonomous vehicles, robotics, and IoT devices can do. As a Generative AI Engineer Leader, you'll work on state-of-the-art foundation models and deploy intelligence that reaches billions of people worldwide. If you're passionate about LLMs, VLMs, and making AI fast, smart, and efficient - this is where you belong.\nKey responsibilities:\nTrain and fine-tune large-scale LLMs and VLMs for multi-modal and agentic tasks.\nBuild end-to-end agentic AI prototypes for both on-device and cloud deployment.\nDrive model efficiency through quantization, pruning, and distillation - without sacrificing accuracy.\nCollaborate closely with hardware, software, and systems teams to bring research to real-world products.\nImplement experiments in Python and PyTorch; manage benchmarks across large-scale distributed setups.\nShare knowledge and best practices across teams, supporting the growth of junior engineers organically.\nMinimum requirements:\nBachelor's, Master's, or PhD in Computer Science, Machine Learning, or related field - what matters most is what you've built and shipped.\n3+ years of hands-on experience designing, training, or optimizing LLMs, VLMs, or foundation models in real-world settings.\nStrong grasp of generative AI, multi-modal architecture, and training strategies at scale.\nProficiency in Python and PyTorch; experience with distributed training frameworks (e.g., DeepSpeed, FSDP, or equivalent).\nTrack record applying quantization, pruning, or distillation to reduce model footprint without degrading quality.\nPreferred qualifications:\nPhD in Computer Science or Machine Learning\nFamiliarity with hardware-aware AI optimization and deploying models on edge devices.\nPublications at top ML/AI venues - NeurIPS, ICML, CVPR, ACL, etc.\nExperience mentoring engineers or leading cross-functional research initiatives.\nYour Impact\nYour work will power next-generation AI experiences on Qualcomm Snapdragon platforms - from the phone in your pocket to autonomous vehicles and industrial robots. You'll be part of a world-class team that turns research papers into products used by billions.\nMinimum Qualifications:\n• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.OR\nMaster's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.\nOR\nPhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.\nApplicants: 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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