{"id":669109,"url":"https://alion.io/job/qualcomm-ai-solution-software-engineer","title":"AI Solution Software 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":79,"open_postings":1297,"ghost_share":0.13,"stale_share":0.091,"repost_share":0.403,"time_to_fill_p50_days":76,"computed_at":"2026-10-01T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":{"min_usd":44000,"max_usd":112000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1507},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Java","optional":true},{"name":"Linux","optional":true},{"name":"Python","optional":true},{"name":"Rest-Assured","optional":true}],"status":"live","first_seen_at":"2026-01-13T00:00:00Z","employer_posted_date":"2026-05-25","last_verified_at":"2026-09-24T02:55:38Z","board_verified":false,"closed_at":null,"days_open":261,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":261},"description":"Company:\nQualcomm China\nJob Area:\nEngineering Group, Engineering Group > Software EngineeringGeneral Summary:\nRole Summary\nWe are seeking a AI solution Software Engineer focused on end-to-end latency optimization across heterogeneous compute IPs (GPU, NPU, ISP, CPU).\nYou will play a key role in designing, profiling, and optimizing using low latency cross-IP signaling protocol(Synx) for AI, camera, and graphics pipelines. This position involves close collaboration with camera, GPU, DSP, AI, and kernel teams to deliver low-latency, power-efficient solutions for leading OEMs\nKey Responsibilities\n Own cross-IP synchronization architecture (GPU/DSP/ISP/CPU), designing Synx flows and HW fence interop to minimize cross IP(ISP/NSP/GPU/EVA.etc)communication latency.\nWork with global team todo Synx solution optimization and China OEM Feature request development\n Design & integrate Synx interop (e.g., ICP↔NSP, EVA↔NSP) including queueing, signaling, error/flush/SSR handling, and async execution models for AI nodes, shepherd feature commercialization.\n Partner with kernel, camera (CamX), GPU, and AI teams to co-design buffer lifecycle and synchronization semantics (DirectLink or native Synx) to avoid unnecessary copies, RPC overheads, and wakeups.\nGuide OEMs to optimize their customized use cases using Qualcomm’s cross-IP synchronization mechanism.\nBasic Qualifications\nMS or higher in Computer Science, Electrical/Computer Engineering, or related field, with 8+ years of relevant software/embedded experience; or equivalent industry experience.\nStrong programming skills in C/C++. And Solid understanding of computer architecture and real-time OS and concurrency: scheduling, threads, locks, interrupt handling, memory hierarchy, DMA/IO, and HW/FW interactions.\nStrong knowledge of synchronization primitives (fences, semaphores, mailboxes), shared-memory transports, and inter-processor signaling (e.g., IPCC/IPCC-Lite, RPMsg/OpenAMP or comparable).\nStrong self-motivation and ability to drive tasks independently.\nExcellent communication skills in English (and Chinese a plus); ability to work with global teams and Tier-1 OEMs.\nPreferred Qualifications\nFamiliarity with Qualcomm SoC architecture (ISP, NSP/CDSP, GPU, interconnect/QoS, IOMMU) or similar heterogeneous platforms.\nFamiliarity with Qualcomm Camera pipeline & AI algorithm integration with QNN\nExperience with Kernel driver work on camera/graphics/NPU subsystems (DMA-BUF, fencing, IOMMU); hands-on buffer lifecycle management and zero-copy designs.\nExperience with performance profiling and debugging on Android/Linux (e.g., ftrace/systrace, perf, camera/GPU traces, HW counters).\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":5009,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","RF & Wireless Hardware","Car Electronics"],"lifecycle":[{"event":"open","at":"2026-09-10T22:14:10Z"},{"event":"close","at":"2026-09-11T02:22:19Z"},{"event":"reopen","at":"2026-09-11T05:42:15Z"},{"event":"close","at":"2026-09-11T16:54:35Z"},{"event":"reopen","at":"2026-09-12T16:53:34Z"},{"event":"close","at":"2026-09-12T19:53:34Z"},{"event":"reopen","at":"2026-09-13T05:40:27Z"},{"event":"close","at":"2026-09-13T08:50:22Z"},{"event":"reopen","at":"2026-09-14T09:46:52Z"}],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":0.7,"p_active":0.525,"p_room":0.28,"age_days":261,"expected_fill_days":76,"reasons":["conf:170","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/qualcomm-ai-solution-software-engineer","json_url":"https://alion.io/job/qualcomm-ai-solution-software-engineer.json","meta":{"generated_at":"2026-10-01T18:19:38Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":601,"day_limit":5000,"remaining_today":4399,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}