{"id":2562854,"url":"https://alion.io/job/texas-instruments-analog-circuit-design-engineer-aiml-methodology","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":75,"open_postings":172,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Hardware","role_family":"Hardware","seniority":"junior","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":13000,"max_usd":33000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":684},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Cadence Virtuoso","optional":true},{"name":"Machine Learning","optional":true},{"name":"Matplotlib","optional":true},{"name":"Pandas","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-05-21T06:58:30Z","employer_posted_date":"2026-05-21","last_verified_at":"2026-10-26T04:22:23Z","board_verified":true,"closed_at":null,"days_open":157,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":156},"description":"About the Opportunity\nAre you an engineer who thinks in circuits and code? Texas Instruments is looking for an Analog Design Engineer to join a first-of-its-kind team where classical analog IC design meets artificial intelligence. This is a rare opportunity to be part of a small, high-impact group that is actively shaping how analog products are built at one of the world's leading semiconductor companies.\nWhat You Will Work On\nAs an Analog Design Engineer, you will create integrated circuit designs that help bring new TI products to life and make our customers' visions a reality. You will define, design, model, implement, and document analog integrated circuits (ICs) across a wide range of end equipment, including audio, imaging, high-speed, interface, clocking, medical, high volume linear, automotive, storage, power supply, battery management, and linear power applications.\nYou will work on state-of-the-art wafer processes, learning from and collaborating with industry experts in a unique interdisciplinary team with a fast-paced, startup-like environment. Your day-to-day work will include designing and drawing schematics, simulating for functionality and parametric performance, and assisting in IC layout and post-layout extracted simulations.\nBeyond traditional analog design, you will apply AI/ML-enabled tools and flows to accelerate product development and create novel circuits. You will own and drive the adoption of these tools and flows across TI product teams, and you will have the creative freedom to develop novel ideas that can be patented and published. You will also gain exposure to Design Verification and Digital Design through formal learning, projects, and on-the-job experiences that will broaden your knowledge and accelerate your growth at TI.\nBring your programming and AI/ML skills to this role and make an impact across the company!\n Minimum requirements:\nBachelor's in Electrical Engineering, Computer Engineering, Electrical and Computer Engineering, or a related field \n2 to 5 years experience\nCumulative 3.0/4.0 GPA or higher\nPreferred qualifications:\nStrong fundamentals in analog circuit design concepts with relevant coursework and design projects\nCourse project or internship experience in the design, simulation, and layout of one or more analog IPs, such as band-gap reference, ADC, DAC, amplifier, oscillator, comparator, IO cells, and power-management blocks like LDO and DCDC.\nFamiliarity with corners, statistical analysis, and post-layout concepts is a plus.\nWorking knowledge of Cadence Virtuoso ADE, including Maestro and SPECTRE simulator\nFoundational proficiency in Python and one or more packages such as Pandas, PyTorch, TensorFlow, scikit-learn, and Matplotlib\nFoundational knowledge of machine learning concepts such as Neural Networks, Graphs, Clustering and Regression techniques, and Decision Trees\nStrong verbal and written communication skills\nDemonstrated analytical and problem-solving skills, especially in new domains\nAbility to work in teams across time zones and collaborate effectively with people in different functions\nAbility to take initiative and drive for results in a timely 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