{"id":755088,"url":"https://alion.io/job/qualcomm-director-engineering","title":"Director, Engineering","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":74,"open_postings":1170,"ghost_share":0.193,"stale_share":0.106,"repost_share":0.449,"time_to_fill_p50_days":75,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":67000,"max_usd":187000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":39},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ExecuTorch","optional":false},{"name":"Machine Learning","optional":false},{"name":"Triton","optional":false},{"name":"vLLM","optional":false},{"name":"C++","optional":true},{"name":"CI/CD","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"cuDNN","optional":true},{"name":"MLIR","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"PyTorch C++","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Rest-Assured","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true}],"status":"live","first_seen_at":"2026-05-25T00:00:00Z","employer_posted_date":"2026-06-18","last_verified_at":"2026-10-11T18:51:17Z","board_verified":true,"closed_at":null,"days_open":139,"trust":{"level":"ok","repost_count":2,"flags":["repost"],"days_open":139},"description":"Company:\nQualcomm India Private LimitedJob Area:\nEngineering Group, Engineering Group > Software Test EngineeringGeneral Summary:\nJob Overview:\nThe Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. We are seeking ambitious, bright, and innovative engineers with experience in machine learning framework development. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction daily so good communication, planning and execution skills are a must.\nKey Responsibilities\nAnalyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs.\n\nAnalyze and identify system level issues, interface with the software development, integration, and test teams\n\nLead high performing teams towards system design and deliverables.\n\nProven track record of leading teams in Machine learning software engineering.\n\nStrong foundation of Mathematical modeling of problems and linear algebra, coupled with state of the art algorithms in ML/AI space.\n\nImprove and optimize key Deep Learning models on Qualcomm AI 100.\n\nBuild deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories.\n\nCollaborate and interact with internal teams to analyze and optimize training and inference for deep learning.\n\nBuild software tools and ecosystem around AI SW Stack.\n\nWork on vLLM, Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.\n\nOptimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems.\n\nOptimize the entire deep learning pipeline including graph compiler integration.\n\nApply knowledge of software engineering best practices.\n\nDesirable Skills and Aptitudes\nDeep Learning experience or knowledge - LLMs, Natural Language Processing, Vision, Audio, Recommendation systems.\n\nKnowledge of the structure and function of different components of Pytorch, TensorFlow software stacks.\n\nExcellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design.\n\nAbility to work independently, define requirements and scope, and lead your own development effort.\n\nWell versed with open-source development practices.\n\nStrong developer with a research mindset - strives to innovate.\n\nAvid problem solver - should be able to find solutions to key engineering and domain problems.\n\nKnowledge of tiling and scheduling a Machine learning operator is a plus.\n\nExperience in using C++ 14 (advanced features)\n\nExperience of profiling software and optimization techniques\n\nHands on experience writing SIMD and/or multi-threaded high-performance code is a plus.\n\nExperience of ML compiler, Auto-code generation (using MLIR) is a plus.\n\nExperiences to run workloads on large scale heterogeneous clusters is a plus.\n\nHands-on experience with CUDA, CUDNN is a plus.\n\nQualifications:\nBachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.\n\n15+ years Software Engineering or related work experience.\n\n15+ years’ experience with Programming Language such as C++, Python.\n\n Minimum Qualifications:\n• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Test Engineering or related work experience.OR\nMaster's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Test Engineering or related work experience.\nOR\nPhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Test Engineering or related work experience.\n• 5+ year of work experience with Software Test or System Test, developing and automating test plans, and/or tools (e.g., Source Code Control Systems, Continuous Integration Tools, and Bug Tracking Tools). \nJob Overview:\nThe Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. We are seeking ambitious, bright, and innovative engineers with experience in machine learning framework development. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction daily so good communication, planning and execution skills are a must.\nKey Responsibilities\nAnalyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs.\n\nAnalyze and identify system level issues, interface with the software development, integration, and test teams\n\nLead high performing teams towards system design and deliverables.\n\nProven track record of leading teams in Machine learning software engineering.\n\nStrong foundation of Mathematical modeling of problems and linear algebra, coupled with state of the art algorithms in ML/AI space.\n\nImprove and optimize key Deep Learning models on Qualcomm AI 100.\n\nBuild deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories.\n\nCollaborate and interact with internal teams to analyze and optimize training and inference for deep learning.\n\nBuild software tools and ecosystem around AI SW Stack.\n\nWork on vLLM, Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.\n\nOptimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems.\n\nOptimize the entire deep learning pipeline including graph compiler integration.\n\nApply knowledge of software engineering best practices.\n\nDesirable Skills and Aptitudes\nDeep Learning experience or knowledge - LLMs, Natural Language Processing, Vision, Audio, Recommendation systems.\n\nKnowledge of the structure and function of different components of Pytorch, TensorFlow software stacks.\n\nExcellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design.\n\nAbility to work independently, define requirements and scope, and lead your own development effort.\n\nWell versed with open-source development practices.\n\nStrong developer with a research mindset - strives to innovate.\n\nAvid problem solver - should be able to find solutions to key engineering and domain problems.\n\nKnowledge of tiling and scheduling a Machine learning operator is a plus.\n\nExperience in using C++ 14 (advanced features)\n\nExperience of profiling software and optimization techniques\n\nHands on experience writing SIMD and/or multi-threaded high-performance code is a plus.\n\nExperience of ML compiler, Auto-code generation (using MLIR) is a plus.\n\nExperiences to run workloads on large scale heterogeneous clusters is a plus.\n\nHands-on experience with CUDA, CUDNN is a plus.\n\nQualifications:\nBachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.\n\n10+ years Software Engineering or related work experience.\n\n10+ years’ experience with Programming Language such as C++, Python.\n\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":9165,"description_truncated":false,"requirements":{"experience_years_min":15,"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":["Processors, MCUs & AI Chips","RF & Wireless Hardware","Car Electronics"],"lifecycle":[{"event":"open","at":"2026-09-11T16:54:35Z"},{"event":"close","at":"2026-09-11T19:54:38Z"},{"event":"reopen","at":"2026-09-13T05:40:27Z"},{"event":"close","at":"2026-09-13T08:50:22Z"},{"event":"reopen","at":"2026-09-13T11:50:26Z"},{"event":"close","at":"2026-09-13T14:50:35Z"},{"event":"reopen","at":"2026-09-13T17:50:41Z"},{"event":"close","at":"2026-09-13T20:50:48Z"},{"event":"reopen","at":"2026-09-15T13:38:16Z"}],"visa":[],"liveness":{"score":21,"band":"cold","label":"Long shot","p_open":1,"p_active":0.587,"p_room":0.36,"age_days":138,"expected_fill_days":75,"reasons":["conf:1","repost:2","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/qualcomm-director-engineering","json_url":"https://alion.io/job/qualcomm-director-engineering.json","meta":{"generated_at":"2026-10-11T19:05:46Z","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":5578,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-12T00:00:00Z"}},"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-director-engineering"},{"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-director-engineering"},{"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-director-engineering"},{"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-director-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fqualcomm-director-engineering"}]}