{"id":1898695,"url":"https://alion.io/job/nvidia-nvidia-2027-ignite-internships-hardware-engineering","title":"NVIDIA 2027 Ignite Internships: Hardware Engineering","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":"A","score":86,"open_postings":434,"ghost_share":0.014,"stale_share":0.493,"repost_share":0.032,"time_to_fill_p50_days":28,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Hardware","role_family":"Hardware","seniority":null,"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":{"min":20,"max":56,"currency":"USD","period":"hour","gross":null,"usd_annual":112000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"OpenCL","optional":false},{"name":"Perl","optional":false},{"name":"Python","optional":false},{"name":"SolidWorks","optional":false},{"name":"SystemVerilog","optional":false},{"name":"Verilog","optional":false},{"name":"VHDL","optional":false}],"status":"live","first_seen_at":"2026-10-05T09:40:58Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-13T10:37:20Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"By submitting your resume, you acknowledge that your Ignite Internships: Software Engineering application will be processed in accordance with NVIDIA’s Applicant Privacy Policy and you agree to our Terms of Service. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.\nThe NVIDIA Ignite Application will be open from 10/5/2026 - 10/18/2026\nThe NVIDIA Ignite program gives you everything you need to start building your career-a whole lot earlier than you might expect. This inclusive, 12-week summer pre-internship program was created to give current first and second year undergrad students, from a variety of backgrounds, a chance to work hands-on with real technical experts on real projects. It’s a fully immersive experience covering the products, culture, and ecosystem that makes NVIDIA a truly unique place to ignite your career. The 12-week Ignite Internship is located on-site at Santa Clara, CA. NVIDIA will cover one-time round trip expense for students traveling over 50 miles to Santa Clara and provide a supplemental housing stipend to assist with living expenses over the summer.\n\nPotential Internships in this field include:\nAI Developer Technology\nASIC Physical Design and Timing\nGPU Verification and Design\nHardware ASIC\nHardware CPU Infrastructure\nHardware Infrastructure Content/Performance\nPower Architect \nWhat we need to see:\nMust be a first-year (class of 2030) or second year (class of 2029) undergraduate pursuing a bachelor’s degree at a four-year university in the United States in either of the following: EE, CE, CS, Mathematics, or a related field\nAnticipated graduation date (month and year) must be clearly indicated on your resume to be considered \nDemonstrate passion through involvement in relevant clubs, leadership roles, extracurricular projects, and more \nEnrolled in courses in computing and engineering, specifically geared towards Hardware basics \nBasic knowledge of one or more of the following programming languages C, C++, Python, Perl, MATLAB \nCreativity and problem-solving mentality; willingness to develop new skills; ability to adapt to new experiences \nThe desire to learn new concepts and tools in a growing and evolving workspace \nWays to stand out from the crowd:\nStudents seeking their first relevant industry or corporate internship experience \nDemonstrated initiative to learn about technology, computers, artificial intelligence, machine learning, computer vision, robotics, parallel computing, etc. \nBasic knowledge of one of the following CAD Skills: Catia, SiemensNX, Solidworks Creo \nUnderstanding of VLSI Design, Computer Architecture, Computer Arithmetic, CMOS Transistors, and Circuits \nBasic knowledge of Verilog, SystemVerilog, or VHDL \nBackground in modern GPU API’s (CUDA, OpenCL) \nWhy NVIDIA? We’re all about redefining the future. You can see it in our AI and visual computing technologies, from the data center and self-driving cars to gaming and robots. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most dedicated and passionate people on the planet working for us. Apply now to begin your life’s work!\nOur internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 56 USD.\nYou will also be eligible for Intern benefits.\nApplications are accepted on an ongoing basis.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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