{"id":49756,"url":"https://alion.io/job/qualcomm-technical-lead-ai-systems-architecture","title":"Technical Lead – AI Systems & Architecture","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":71,"open_postings":1166,"ghost_share":0.225,"stale_share":0.125,"repost_share":0.466,"time_to_fill_p50_days":75,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","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":29000,"max_usd":76000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":34},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Fine-tuning","optional":false},{"name":"HPC","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"Model Distillation","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Transformers","optional":false},{"name":"AWS","optional":true},{"name":"ETL/ELT","optional":true},{"name":"LangChain","optional":true},{"name":"Rest-Assured","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-07-01T00:00:00Z","employer_posted_date":"2026-07-01","last_verified_at":"2026-10-20T02:08:48Z","board_verified":true,"closed_at":null,"days_open":111,"trust":{"level":"ok","repost_count":2,"flags":["repost"],"days_open":110},"description":"Company:\nQualcomm India Private LimitedJob Area:\nEngineering Group, Engineering Group > Hardware EngineeringGeneral Summary:\nOur team is focused on applying state-of-the-art AI and ML technologies to solve complex business problems in the chip design, qualification, and debug engineering processes. We aim to enhance engineering efficiency through intelligent automation, data-driven insights, and innovative tool development.\nWe are looking for a passionate and technically strong engineer to join our team focused on developing advanced data analytics and machine learning models that drive innovation in chip design, qualification, and debug engineering. This role involves building scalable data pipelines, developing custom ML models, and applying statistical and deep learning techniques to extract actionable insights from complex datasets.\nKey Responsibilities:\nDesign and implement end-to-end data analytics workflows tailored to semiconductor engineering use cases.\n\nDevelop, train, and optimize ML models using supervised, unsupervised, and deep learning techniques.\n\nPerform feature engineering, model evaluation, and hyperparameter tuning to improve model performance.\n\nBuild scalable data ingestion and transformation pipelines using Python and cloud-native tools.\n\nApply statistical analysis and visualization techniques to derive insights from large datasets.\n\nConduct time series analysis using methods such as ANOVA and other statistical techniques.\n\nExperiment with GenAI platforms, LLMs, and RAG techniques to enhance model capabilities.\n\nCollaborate with cross-functional teams to integrate ML models into engineering workflows and tools.\n\nDocument methodologies and provide technical guidance to internal teams.\n\nMinimum Qualifications:\nBachelor's/Master’s degree in Computer Science, Data Science, or a related field with minimum 7+ years of work experience.\n\nStrong programming skills in Python or C++.\n\nSolid understanding of data structures, algorithms, and software design principles.\n\nStrong analytical and problem-solving skills.\n\nHands-on experience with supervised and unsupervised learning techniques (e.g., classification, clustering, dimensionality reduction).\n\nExperience with deep neural network architectures including RNNs, and Transformers.\n\nExperience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch.\n\nGenAI, LLMs, RAG Optimization. LLM Finetuning, Distillation Experience.\n\nProficiency in data analysis using Pandas, NumPy, and Matplotlib.\n\nStatistical Analysis & Visualization\n\nFeature Engineering & Model Evaluation\n\nUnderstanding of GPU, CUDA & High performance Computing Frameworks & Methods.\n\nPreferred Qualifications:\nPHD in Computer Science, Data Science, or a related field.\n\nExperience in large Model Development & Training from the Scratch.\n\nFamiliarity with time series analysis methods including ANOVA, ARIMA, and seasonal decomposition.\n\nFamiliarity with SQL databases, ETL frameworks, and cloud platforms (e.g., AWS).\n\nKnowledge of LLM integration frameworks (e.g., LangChain).\n\nHands-on experience with distributed computing and cloud-scale data processing.\n\nSoftware Design & Architecture\n\nMinimum Qualifications:\n• Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.OR\nMaster's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience.\nOR\nPhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.\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":5481,"description_truncated":false,"requirements":{"experience_years_min":7,"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","Processors, MCUs & AI Chips","RF & Wireless Hardware","Car Electronics"],"lifecycle":[{"event":"open","at":"2026-07-01T00:00:00Z"},{"event":"close","at":"2026-09-10T17:53:29Z"},{"event":"reopen","at":"2026-09-11T02:22:19Z"},{"event":"close","at":"2026-09-11T05:42:15Z"},{"event":"reopen","at":"2026-09-11T23:28:00Z"},{"event":"close","at":"2026-09-12T02:28:18Z"},{"event":"reopen","at":"2026-09-13T14:50:35Z"},{"event":"close","at":"2026-09-13T17:50:41Z"},{"event":"reopen","at":"2026-09-15T03:57:42Z"}],"visa":[],"liveness":{"score":22,"band":"cold","label":"Long shot","p_open":1,"p_active":0.51,"p_room":0.44,"age_days":110,"expected_fill_days":75,"reasons":["conf:3","repost:2","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-19T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/qualcomm-technical-lead-ai-systems-architecture","json_url":"https://alion.io/job/qualcomm-technical-lead-ai-systems-architecture.json","meta":{"generated_at":"2026-10-20T04:21:26Z","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":4793,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"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-technical-lead-ai-systems-architecture"},{"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-technical-lead-ai-systems-architecture"},{"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-technical-lead-ai-systems-architecture"},{"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-technical-lead-ai-systems-architecture\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fqualcomm-technical-lead-ai-systems-architecture"}]}