{"id":1672062,"url":"https://alion.io/job/qualcomm-sr-engineer-embedded-ai-architecture-and-systems-engineer","title":"Sr Engineer: Embedded AI Architecture and Systems 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":1175,"ghost_share":0.222,"stale_share":0.123,"repost_share":0.468,"time_to_fill_p50_days":74,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Hardware","role_family":"Hardware","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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":18},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Edge AI","optional":false},{"name":"Embedded C","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"Rest-Assured","optional":false},{"name":"C","optional":true}],"status":"live","first_seen_at":"2026-09-30T00:00:00Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-21T12:49:04Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":21},"description":"Company:\nQualcomm India Private LimitedJob Area:\nEngineering Group, Engineering Group > Systems Engineering General Summary:\nAs part of Qualcomm’s Audio and Low-Power AI (LPAI) Architecture group, you will architect, analyze, and optimize DSP and embedded NPU (eNPU) performance across Snapdragon platforms. Your focus will be on architectural analysis, optimization, and deployment of machine learning software, enabling efficient on-device intelligence, including scheduling, memory hierarchy, compression/quantization strategies, to enable efficient on-device AI for audio, camera, sensors, and always-on use cases. You will build system models, conduct performance/power trade studies, and drive architectural recommendations that scale across mobile, XR, compute, IoT, and automotive tiers\nKey Responsibilities\nAnalyze, design, and optimize Machine learning kernels on ML HW accelerator for performance, power, and area efficiency in value tier chipsets.\nConduct architectural analysis and benchmarking of ML subsystems, identifying bottlenecks and proposing solutions for improved throughput and efficiency.\nCollaborate with hardware and software teams to define and implement enhancements in ML HW microarchitecture, memory hierarchy, and dataflow.\nDevelop and validate performance models for AI workloads, including signal processing and ML inference, on embedded platforms.\nPrototype and evaluate new architectural features for ML HW, including quantization, compression, and hardware acceleration techniques.\nSupport system-level integration, performance testing, and demo prototyping for commercialization of optimized ML solutions.\nDocument architectural analysis, optimization strategies, and performance results for internal and external stakeholders.\nRequirements\nSolid background in DSP architecture, embedded NPU design, and low-power AI systems.\nProven experience in performance analysis, benchmarking, and optimization on any embedded processors (DSP, ARM, RISC-V, NPU).\nStrong programming skills in Embedded C/C++, Python \nExperience with embedded platforms, real-time operating systems, and hardware/software co-design.\nExpertise in both fixed-point and floating-point implementation, with a focus on ML/AI workloads.\nExcellent communication, presentation, and teamwork skills; ability to work independently and across global teams.\nStrong fundamentals of Power modeling and Power analysis\nEducational Qualifications\nMaster’s or PhD degree in Engineering, Electronics and Communication, Electrical, Computer Science, or related field\nMinimum Qualifications:\n• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.OR\nMaster's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.\nOR\nPhD in Engineering, Information Systems, Computer Science, or related field.\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":4760,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"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"},{"event":"close","at":"2026-10-07T01:53:27Z"},{"event":"reopen","at":"2026-10-08T02:17:30Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.901,"p_room":1,"age_days":21,"expected_fill_days":74,"reasons":["conf:2","velocity","win:early","comp:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/qualcomm-sr-engineer-embedded-ai-architecture-and-systems-engineer","json_url":"https://alion.io/job/qualcomm-sr-engineer-embedded-ai-architecture-and-systems-engineer.json","meta":{"generated_at":"2026-10-21T16:39:39Z","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":23502,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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-sr-engineer-embedded-ai-architecture-and-systems-engineer"},{"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-sr-engineer-embedded-ai-architecture-and-systems-engineer"},{"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-sr-engineer-embedded-ai-architecture-and-systems-engineer"},{"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-sr-engineer-embedded-ai-architecture-and-systems-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fqualcomm-sr-engineer-embedded-ai-architecture-and-systems-engineer"}]}