{"id":1672080,"url":"https://alion.io/job/qualcomm-seniorstaff-ai-model-optimization-architect-hsinchutaipei","title":"Senior/Staff AI Model Optimization Architect (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":1038,"ghost_share":0.257,"stale_share":0.157,"repost_share":0.458,"time_to_fill_p50_days":74,"computed_at":"2026-11-04T06:34:25Z"}},"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":["Hsinchu, Taiwan","Taipei, Taiwan"],"countries":["TW"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":41000,"max_usd":93000,"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":"KV Cache","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","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":"2026-09-30","last_verified_at":"2026-11-04T21:17:05Z","board_verified":true,"closed_at":null,"days_open":36,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":36},"description":"Company:\nQualcomm Semiconductor LimitedJob Area:\nEngineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:\nQualcomm is leveraging its strengths in compute, connectivity, and AI acceleration to play a central role in the evolution of Cloud AI. The Qualcomm Cloud AI team develops hardware and software platforms enabling efficient inference of large-scale foundation models.\nWe are seeking a Staff level AI Model Optimization Architect to lead end-to-end model transformation and optimization for LLMs, VLMs, diffusion, and multimodal models on Qualcomm inference accelerators. This role works closely with compiler, performance, and accuracy teams to translate models into accelerator efficient execution while balancing throughput, latency, memory, and quality. The scope spans Day0 enablement through production deployment, with a strong emphasis on scaling optimizations to future architectures.\nKey Responsibilities\nArchitect and deliver model optimization strategies that transform PyTorch models for efficient inference on Qualcomm accelerators.\nDrive graph capture and deployment using PyTorch, ONNX, and torch.compile, including model rewrites and graph-level transformations.\nDesign and implement fusion kernels using DSL based approaches (e.g., Triton), enabling fused operations and performance critical algorithmic rewrites.\nPartner deeply with compiler, performance, and accuracy teams to co-design lowering strategies, kernel fusion, layout decisions, and runtime integration.\nProfile and optimize LLM/VLM/diffusion inference for throughput and latency across batch sizes, sequence lengths, and serving modes.\nOwn transformer specific optimizations including KVcache management, decoding behavior, and long context performance.\nEnable and optimize continuous batching (dynamic/iteration-level scheduling), understanding its impact on memory, scheduling, and tail latency.\nArchitect and scale distributed inference strategies (e.g., sharding and parallelism) across multi-core and multi-device systems.\nEstablish reusable approaches to scale model optimizations to new hardware architectures, creating robust patterns and tooling.\nDebug complex performance or stability issues to root cause and drive production ready solutions.\nRequired Qualifications\nExpert level expertise in PyTorch and inference focused model optimization; strong Python engineering skills.\nHands on experience with torch.compile / TorchDynamo or related graph capture and compilation workflows.\nDeep understanding of transformer architectures, attention mechanisms, MoEs, and performance trade-offs.\nPractical experience with KVcache behavior, serving time optimizations, and memory/performance tradeoffs.\nStrong foundation in computer architecture, ML accelerators, and distributed systems.\nProven ability to lead cross-functional technical efforts and influence design decisions.\nMS in Computer Science, Machine Learning, Computer Engineering, or Electrical Engineering, or equivalent experience.\nPreferred Qualifications\nExperience developing fusion kernels using Triton or similar DSLs, and collaborating with ML compiler teams.\nFamiliarity with LLM serving stacks and continuous batching systems.\nBackground in numerical methods, performance/accuracy trade-off analysis, or evaluation frameworks.\nPhD in a relevant field.\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. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.\nIf you would like more information about this role, please contact Qualcomm Careers.","description_format":"text","description_chars":5743,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Autonomous Driving","Energy Efficiency","Car Electronics"],"lifecycle":[{"event":"open","at":"2026-10-02T07:04:59Z"}],"visa":[],"liveness":{"score":80,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.892,"p_room":0.9,"age_days":35,"expected_fill_days":74,"reasons":["conf:4","velocity","win:mid","comp:brand"],"computed_at":"2026-11-04T06:34:25Z"},"pay":null,"html_url":"https://alion.io/job/qualcomm-seniorstaff-ai-model-optimization-architect-hsinchutaipei","json_url":"https://alion.io/job/qualcomm-seniorstaff-ai-model-optimization-architect-hsinchutaipei.json","meta":{"generated_at":"2026-11-05T01:38:23Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2077,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":94},"rest":"https://alion.io/mcp/rest/get_company?id=94"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fqualcomm-seniorstaff-ai-model-optimization-architect-hsinchutaipei"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fqualcomm-seniorstaff-ai-model-optimization-architect-hsinchutaipei"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fqualcomm-seniorstaff-ai-model-optimization-architect-hsinchutaipei"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/qualcomm-seniorstaff-ai-model-optimization-architect-hsinchutaipei\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fqualcomm-seniorstaff-ai-model-optimization-architect-hsinchutaipei"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1672080}},{"tool":"search_jobs","arguments":{"company":"qualcomm.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1672080},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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