{"id":1760181,"url":"https://alion.io/job/qualcomm-gpu-performance-analysis-engineer-2","title":"GPU Performance Analysis 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":72,"open_postings":1182,"ghost_share":0.22,"stale_share":0.121,"repost_share":0.468,"time_to_fill_p50_days":75,"computed_at":"2026-10-17T05:46:00Z"}},"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":["Shanghai, China"],"countries":["CN"],"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":"C++","optional":false},{"name":"GLSL","optional":false},{"name":"HLSL","optional":false},{"name":"Python","optional":false},{"name":"SPIR-V","optional":false},{"name":"Java","optional":true},{"name":"Rest-Assured","optional":true}],"status":"live","first_seen_at":"2026-09-24T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-17T07:53:04Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":23},"description":"Company:\nQualcomm China\nJob Area:\nEngineering Group, Engineering Group > Software Engineering General Summary:\nThis role requires understanding of GPU bottlenecks. This also requires understanding how rendering for games work (their graphics pipelines) as well as to be able to write small rendering applications using the gpu using graphics APIs such as vulkan and hlsl/glsl/spirv. For this role you need to be able to analyze performance silicon measurements in Android.\nResponsibilities:\nIn this role, your work will have critical impact in influencing next generation GPUs to be more efficient and to maintain competitive edge in Qualcomm Graphics solutions.\nYou will be contributing to performance analysis at GPU level for Graphics and Raytracing workloads such as benchmark/games by exploiting different SW/HW/Architectural knobs to find opportunities to improve perf.\nBe engaged and contribute to competitive perf/power analysis for popular benchmark/games and to identify or be able to explain the gaps with reasonable evidence which could lead to next generation architecture/HW/SW enhancement opportunities.\nDevelop tools for efficient, streamlined and scalable debug/validation tasks.\nSupport presilicon workload enablement efforts for the analyzed workloads and games\nMinimum Skills\nUnderstanding of GPU architecture\nRendering knowledge and the ability to write rendering applications with vulkan and other graphics APIs\nStrong knowledge of python and C++\nPerformance analysis experience\nSharp analytical skillset\nFluency in usage of latest AI tools for coding/debugging to solve system level problem\nMinimum of Bachelor degree required\nFluent English communication skill\nPreferred Skills\nMasters degree or PhD\n3-7 years of relevant experience\nAndroid experience\nGFXR capture/playback for vulkan. Render doc capture and interpretation of the data.\nExperience in competitive performance for GPU centric use cases\nPost-si debugging experience\nMinimum Qualifications:\n• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.OR\nMaster's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.\nOR\nPhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.\n• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.\nQualcomm 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":4305,"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":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Autonomous Driving","Energy Efficiency","Car Electronics"],"lifecycle":[{"event":"open","at":"2026-10-03T12:24:10Z"}],"visa":[],"liveness":{"score":85,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.846,"p_room":1,"age_days":23,"expected_fill_days":75,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/qualcomm-gpu-performance-analysis-engineer-2","json_url":"https://alion.io/job/qualcomm-gpu-performance-analysis-engineer-2.json","meta":{"generated_at":"2026-10-17T10:42:16Z","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":13915,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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-gpu-performance-analysis-engineer-2"},{"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-gpu-performance-analysis-engineer-2"},{"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-gpu-performance-analysis-engineer-2"},{"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-gpu-performance-analysis-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fqualcomm-gpu-performance-analysis-engineer-2"}]}