{"id":1760216,"url":"https://alion.io/job/qualcomm-engineer-staff-embedded-ai-inference-preferred-release-engineer","title":"Engineer, Staff-Embedded, AI inference ( preferred ) Release 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":73,"open_postings":1257,"ghost_share":0.212,"stale_share":0.108,"repost_share":0.472,"time_to_fill_p50_days":74,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Hardware","role_family":"Hardware","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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":61000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":539},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"C++","optional":false},{"name":"Edge AI","optional":false},{"name":"Java","optional":false},{"name":"Kanban","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Rest-Assured","optional":true}],"status":"live","first_seen_at":"2026-09-09T00:00:00Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-14T12:57:33Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"description":"Company:\nQualcomm India Private LimitedJob Area:\nEngineering Group, Engineering Group > Software EngineeringGeneral Summary:\nAs a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.\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.\nAI/ML SW Product Release Manager\nJob Overview\nJoin a new and growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning.\nThe team uses Qualcomm chips’ extensive heterogeneous computing capabilities and engineers them to\nallow the running of trained neural networks on device without a need for connection to the cloud. Our\ninference engine is designed to help developers run neural network models trained in a variety of frameworks\non Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. See your work\ndirectly impact billions of mobile devices around the world.\nAs an AI SW Product Release Manager, you will play a key role in ensuring the successful delivery of our\ncutting-edge AI inference engine SDK. You will be responsible to the AI SW product team for ensuring the continuity of\neffective delivery of product and will collaborate closely with development teams, QA teams, and stakeholders to\ndrive efficient software releases. Your role involves helping to resolve issues that could otherwise impede the\nprogress of the release. Your focus will be on timely releases, quality assurance, and seamless coordination across teams.\nResponsibilities:\nRelease Planning and Coordination:Work closely with product leads, development & QA teams to plan and schedule SDK releases.\nCoordinate release activities, ensuring alignment with project timelines.\n\nCross-Functional Collaboration:Collaborate with product leads, development, and testing teams to ensure smooth execution of SDK releases.\n\nRisk Management and Quality Assurance:Identify potential risks and obstacles that may impact release schedules and communicate them with product leads and other stakeholders.\nImplement strategies to mitigate risks and ensure high-quality deliverables.\nMonitor and track release progress, addressing any deviations promptly.\n\nDeployment and Communication:Oversee the deployment of SDK releases, ensuring they meet quality standards.\nCommunicate release status, updates, and any critical information to relevant teams.\nMaintain clear documentation related to each release.\n\nProcess Optimization:Continuously improve processes, aiming for efficiency and effectiveness.\nExplore opportunities for automation and streamlined workflows.\n\nAgile Methodologies and Best Practices:Apply agile methodologies to manage releases effectively.\nFoster a culture of continuous improvement within the team.\n\nQualifications:\nBachelor’s/Master's degree in a relevant field (Computer Science, Engineering, or equivalent).\nProven experience as a Release Manager, Delivery Manager, or similar role.\nExperience working in agile delivery teams including scrum or Kanban based delivery activities.\nExperience of leadership of team delivering software development\nWorking knowledge of Software Development Lifecycle\nPrior development skills in C++, Python environments and well versed in version control tools like git and familiarity with DevOps practices and tools.\nExperience & understanding of embedded systems SW development or equivalent.\nUnderstanding of Deep Learning fundamentals and knowledge of AI technologies and SDK development is a plus.\nExcellent communication skills (verbal, presentation, written)\nAbility to collaborate across a globally diverse team and multiple interests.\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":6490,"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":"2026-10-03T12:24:10Z"}],"visa":[],"liveness":{"score":74,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.822,"p_room":0.9,"age_days":35,"expected_fill_days":74,"reasons":["conf:2","velocity","win:mid","comp:brand"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/qualcomm-engineer-staff-embedded-ai-inference-preferred-release-engineer","json_url":"https://alion.io/job/qualcomm-engineer-staff-embedded-ai-inference-preferred-release-engineer.json","meta":{"generated_at":"2026-10-14T14:58:48Z","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":18744,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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-engineer-staff-embedded-ai-inference-preferred-release-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-engineer-staff-embedded-ai-inference-preferred-release-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-engineer-staff-embedded-ai-inference-preferred-release-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-engineer-staff-embedded-ai-inference-preferred-release-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fqualcomm-engineer-staff-embedded-ai-inference-preferred-release-engineer"}]}