{"id":3780573,"url":"https://alion.io/job/nvidia-vlsi-timing-methodology-intern-summer-2027","title":"VLSI Timing Methodology Intern - Summer 2027","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":806,"ghost_share":0.026,"stale_share":0.587,"repost_share":0.06,"time_to_fill_p50_days":42,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Perl","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-11-04T00:00:00Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-10T12:16:05Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to resolve, that only we can seek, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.\nIf you enjoy combining multiple interests across VLSI design, device modeling, Static timing Analysis, software development, accelerated computing and AI, you’ll love the kind of work we do. Our team combines advances in both high-performance software and VLSI hardware design to craft large scale internal CAD tools and silicon projection methodologies for delivering outstanding computing hardware. If you are passionate about innovation in these areas, let’s talk about many possible projects.\nWhat you’ll be doing:\nResearch and develop compact device and system models to predict silicon, both time-0 and aged, timing behavior in pre-silicon simulation world\nUse Machine Learning and analytical techniques to speed up device and system timing characterization.\nDevelop tools, and methodologies to predict and improve silicon performance and reliability beyond what industry standard tools can offer alone.\nExplore how physical effects (e.g., IR drop, crosstalk, aging, thermal impact) influence timing and design decisions.\nWhat we need to see:\nCurrently enrolled and pursuing a Master's degree or higher in Electrical Engineer, Computer Engineering, or related field.\nKnowledge in digital circuit design , MOSFET device physics and Static Timing Analysis.\nExperience in VLSI backend design.\nGood understanding of Machine Learning and statistics.\nShown knowledge or experience with scripting in Python, Perl, or Tcl.\nWays to stand out from the crowd:\nPrior VLSI working experience or internships is a plus.\nFamiliarity with BSIM or other device compact models.\nCoursework or academic projects in VLSI Design or CAD Design.\nNVIDIA is widely considered to be one of the technology world’s most desirable employers. We encourage you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of an outstanding team supporting the latest in GPU and AI technology? If so, we want to hear from you.\nOur internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 20 USD - 94 USD.You will also be eligible for Intern benefits.\nApplications for this job will be accepted at least until November 8, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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