{"id":1672081,"url":"https://alion.io/job/qualcomm-seniorstaff-ai-performance-engineer-cloud-ai-hsinchutaipei","title":"AI Performance Engineer, Cloud AI (Multiple Levels: Entry-Level to Senior Staff) (Hsinchu/Taipei)","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":1032,"ghost_share":0.257,"stale_share":0.155,"repost_share":0.459,"time_to_fill_p50_days":74,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hsinchu, Taiwan","Taipei, Taiwan"],"countries":["TW"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Diffusion Models","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"ONNX","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Triton","optional":false},{"name":"VLM","optional":false},{"name":"Rest-Assured","optional":true}],"status":"live","first_seen_at":"2026-09-30T00:00:00Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-11-03T10:51:01Z","board_verified":true,"closed_at":null,"days_open":34,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":34},"description":"Company:\nQualcomm Semiconductor LimitedJob Area:\nEngineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:\nQualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of Cloud AI. We are investing in several supporting technologies including Deep Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration.\nWe are hiring an AI Performance Engineers (Cloud AI Engineering) at multiple levels to join our dynamic, collaborative team. This role spans the full product lifecycle-from cutting-edge research and development to commercial deployment-and demands strategic thinking, strong execution, and excellent communication skills.\nThis role involves the following activities:\nConvert, optimize and deploy models for efficient inference using PyTorch, ONNX. \nWork at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities. \nPerformance analysis and optimization of LLM, VLM, and diffusion models for inference. Scale performance for throughput and latency constraints. \nMapping the next generation AI workloads on top of current and future hardware designs. \nWork closely with customers to drive solutions by collaborating with internal compiler, firmware and platform teams. \nAnalyze complex performance or stability issues to work towards final root cause of underlying problems. \nCreate engineering solutions to deliver continuous insights into performance of AI workloads guiding the improvements over time. \nDesign and implement high-level kernels, e.g. in Triton, with a focus on generating efficient, low-level code.\nCandidates for this position will demonstrate the following:\nHands-on experience in building and optimizing language models, notably in PyTorch, ONNX, preferably in production-grade environments. \nDeep understanding of transformer architectures, attention mechanisms and performance trade-offs. \nExperience in workload mapping strategies exhibiting sharding or various parallelisms. \nStrong Python programming skills. \nProactive learning about the latest inference optimization techniques. \nUnderstanding of computer architecture, ML accelerators, in-memory processing and distributed systems. \nStrong communication, problem-solving skills and ability to learn and work effectively in a fast-paced and collaborative environment. \nMS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering. \nBonus Skills:\nBackground in neural network operators and mathematical operations, including linear algebra and math libraries. \nUnderstanding of machine learning compilers. \nExperience in converging accuracy and its evaluation methods. \nKnowledge of torch.compile or torchDynamo. \nPhD in Computer Science, Computer Engineering or Machine Learning\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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