{"id":3450311,"url":"https://alion.io/job/texas-instruments-analog-circuit-design-engineer-aiml-methodology-2","title":"Analog Circuit Design Engineer - AI/ML methodology","company":{"id":36400,"name":"Texas Instruments","domain":"ti.com","url":"https://alion.io/company/texas-instruments","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":77,"open_postings":196,"ghost_share":0,"stale_share":0.939,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-11-10T06:52:35Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":18},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Design of Experiments","optional":true},{"name":"GCP","optional":true},{"name":"Hadoop","optional":true},{"name":"Matplotlib","optional":true},{"name":"NumPy","optional":true},{"name":"Pandas","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"SciPy","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-10-29T07:16:03Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-10T10:04:46Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"About the Opportunity\nAre you a data scientist who thinks in algorithms, mathematical proofs, and insights? Texas Instruments is looking for a Senior Data Scientist to join a first-of-its-kind team where advanced analytics, mathematical rigor, and machine learning meet semiconductor innovation. This is a rare opportunity to be part of a small, high-impact group that is actively shaping how data-driven decisions are made at one of the world's leading semiconductor companies.\nWhat You Will Work On\nAs a Senior Data Scientist, you will develop and deploy machine learning models and analytical solutions that accelerate semiconductor development and help bring new TI products to life. You will define, design, implement, and document data science solutions across the semiconductor development flow, including design automation, process technology optimization, device modeling, design verification, manufacturing yield enhancement, test data analytics, and reliability prediction.\nBeyond traditional data science, you will apply cutting-edge AI/ML techniques combined with strong mathematical foundations to solve complex challenges across the semiconductor development lifecycle-from circuit design and layout optimization to process control and parametric testing. You will leverage optimization theory, linear algebra, probability theory, and statistical inference to create robust, physics-informed models that enhance design efficiency, reduce development cycles, improve yield, and ensure product quality. You will own and drive the adoption of data science tools and methodologies across design, process development, test, and manufacturing teams, and you will have the creative freedom to develop novel ideas that can be patented and published. You will also gain deep exposure to Semiconductor Physics, IC Design, Process Technology, and Manufacturing Operations through formal learning, projects, and on-the-job experiences that will broaden your knowledge and accelerate your growth at TI.\nBring your data science expertise, mathematical prowess, and passion for semiconductor technology to this role and make an impact across the company!\n Minimum Requirements:\nBachelor’s or Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field\n3+ years of professional experience in data science or machine learning roles\nCumulative 3.0/4.0 GPA or higher (for recent graduates)\nStrong foundation in mathematical concepts including calculus, linear algebra, probability theory, and optimization\nPreferred Qualifications:\nStrong mathematical skills in linear algebra, multivariate calculus, optimization theory, probability, and statistical inference\nProven experience developing and deploying ML models in production or engineering environments\nAdvanced proficiency in Python and packages such as Pandas, NumPy, SciPy, PyTorch, TensorFlow, scikit-learn, and Matplotlib\nDeep knowledge of ML concepts including Neural Networks, Deep Learning, Regression, Clustering, and their mathematical foundations\n Ability to derive algorithms from first principles and apply mathematical modeling to physical systems\nExperience with big data technologies (Spark, Hadoop), cloud platforms (AWS, Azure, GCP), and SQL/NoSQL databases is a plus\n Familiarity with semiconductor EDA tools (Cadence, Synopsys) or design of experiments (DOE) techniques is a plus\nStrong communication skills with ability to present complex findings to cross-functional engineering teams\nDemonstrated problem-solving skills with strong mathematical reasoning\nAbility to work collaboratively across time zones and mentor junior team members\n Publication record in top-tier conferences or journals is a plus","description_format":"text","description_chars":3777,"description_truncated":false,"requirements":{"experience_years_min":3,"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","Electrical & Electronic Engineering","Consumer Electronics","Email Security"],"lifecycle":[{"event":"open","at":"2026-10-29T10:36:59Z"}],"visa":[],"liveness":{"score":57,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":0.9,"age_days":11,"expected_fill_days":31,"reasons":["conf:3","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-11-10T06:52:35Z"},"pay":null,"html_url":"https://alion.io/job/texas-instruments-analog-circuit-design-engineer-aiml-methodology-2","json_url":"https://alion.io/job/texas-instruments-analog-circuit-design-engineer-aiml-methodology-2.json","meta":{"generated_at":"2026-11-10T13:10:58Z","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":30676,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":36400},"rest":"https://alion.io/mcp/rest/get_company?id=36400"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftexas-instruments-analog-circuit-design-engineer-aiml-methodology-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Ftexas-instruments-analog-circuit-design-engineer-aiml-methodology-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Ftexas-instruments-analog-circuit-design-engineer-aiml-methodology-2"},{"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/texas-instruments-analog-circuit-design-engineer-aiml-methodology-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftexas-instruments-analog-circuit-design-engineer-aiml-methodology-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3450311}},{"tool":"search_jobs","arguments":{"company":"ti.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3450311},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}