MediaTek Internships - 115 jobs

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. We are looking for a VLSI CAD Timing Intern focused on Applied AI to lead end-to-end solution development - spanning data generation, model training, orchestration, and agentic automation - for timing and constraint analysis workflows. You will be part of a cross-disciplinary team building intelligent systems that learn from sign-off data, reason across flows, and assist engineers in achieving faster and more predictable closure. What You'll Be Doing: Learn and support static timing analysis (STA) flows using industry tools like PrimeTime and Tempus for advanced ASIC designs. Help develop and automate timing, constraints, and QoR validation flows using scripting and data-driven methods. Assist with analyzing timing reports, constraints, and design data across corners and modes to improve closure predictability. Collaborate with CAD, physical design, and methodology engineers on timing sign-off strategies and best practices. Contribute to early AI- or analytics-assisted approaches for timing analysis, constraint checking, or flow optimization. Explore how physical effects (e.g., IR drop, crosstalk, aging, thermal impact) influence timing and design decisions. What we need to see: Currently pursuing a Master's or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Exposure to Applied Agentic AI. Coursework or academic knowledge in VLSI/ASIC design, digital circuits, or computer architecture. Familiarity with the basics of static timing analysis, constraints, or digital design flows. Knowledge in scripting or programming (Python preferred). Comfort working with data, reports, and technical problem-solving in complex systems. Ways to stand out from the crowd: Academic projects, research, or internships related to VLSI, physical design, STA, or EDA tools. Exposure to machine learning, data analysis, or AI concepts applied to engineering problems. Exposure to TCL. Experience automating workflows, analyzing large datasets, or contributing to technical tools or open-source projects. NVIDIA is widely considered one of the technology world's most desirable employers. We employ some of the most forward-thinking and talented people in the world. Are you passionate about joining our life work to amplify human creativity and intelligence? If you are creative, collaborative, and have a real passion for design methodology and automation, we want to hear from you. Our 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 - 71 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

The landscape of GPU-accelerated AI, deep learning, and machine learning is rapidly evolving. As AI transitions from pioneering research to mainstream applications, every global enterprise is keen on leveraging it. From improving operational efficiencies to crafting exceptional user experiences, AI is truly making the world better. At NVIDIA, we're at the forefront of this change. We're seeking a self-driven Technical Product Manager Intern to join our Enterprise Product Group. You'll be working on groundbreaking NVIDIA technologies that cater to enterprises from edge computing to data centers and the cloud. Partner with brilliant minds in engineering, operations, and marketing to lead products through their entire life cycle. At NVIDIA, you will be part of a diverse, collaborative environment where everyone is inspired to do their best work. Join us and see how you can make a lasting impact on the world. NVIDIA's Enterprise Product Group is a small, dynamic, and highly motivated team behind DGX systems and DGX SuperPOD-the platforms that established NVIDIA as the gold standard in AI development and deployment. By delivering turnkey, integrated solutions, the team helped transform NVIDIA from a GPU hardware vendor into a full-stack AI and data-center company. We are looking for a proven product leader with a strong track record of delivering enterprise platforms and the expertise to drive continued adoption of these solutions across global enterprises. What you'll be doing: * Assist in various product management tasks, including market research, customer needs analysis, and idea generation for new products and features. * Default to action, identify product gaps and begin writing code to fix them using AI. * Develop novel use cases of existing products to show the art of the possible with NVIDIA Gen AI software libraries. * Conduct competitive and market analysis across AI infrastructure software ecosystems. * Update documentation based on user feedback, feature updates, etc. * Collaborate cross-functionally with design, product, and marketing to build great UX and landing surfaces. * Supervise customer feedback and product performance metrics. * Develop and update the product roadmap and relevant documentation. * Drive OSS contributions and cultivate community engagement with our open infrastructure libraries. What we need to see: * Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Information Science, Electrical Engineering, or a similar field. * Hands-on experience with Git, including basic command-line skills. * Strong interpersonal skills and the ability to work optimally in a collaborative environment * Completed at least one technical project (class, hackathon, or personal) involving AI, ML, data science, distributed systems, or backend infrastructure * Familiarity with cloud environments (AWS, GCP, or Azure), including deploying or maintaining small services or apps. * Proficiency in AI assisted code tooling like Cursor, Windsurf, Claude Code, etc. Ways to stand out from the crowd: * Genuine excitement towards the software you will be building. * Experience building AI models or workflows in a technical setting or product management * Experience in demonstrating or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry * Portfolio with projects that leverage Gen AI to solve real world problems * Relevant contributions to OSS projects Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family *********************** Our 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 - 71 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA's AI Factories rely on advanced physics-based digital twins to design, validate, and optimize cooling infrastructure for the next generation of accelerated computing. We are seeking a PhD-level intern to drive R&D in single-phase and two-phase cooling digital twin development, creating high-fidelity SimReady assets and contributing to the next wave of intelligent AI Factory infrastructure. What You Will Be Doing: * Develop high-fidelity CFD and thermo-fluidic models for single-phase and two-phase cooling systems in data centers, including cold plates, immersion, air cooling, and facility liquid cooling systems. * Build SimReady geometries and metadata for use in NVIDIA's Omniverse platform using USD-based workflows. * Use Cadence, ANSYS Fluent, STAR-CCM+, Flownex, or equivalent tools to build and validate digital twin components. * Automate simulation workflows using Python, including parameter sweeps, sensitivity studies, multiphysics coupling, and surrogate model generation. * Chip in to multi-domain digital twins spanning thermal, mechanical, electrical, and control systems. * Integrate simulation data with Omniverse extensions and collaborate on R&D-grade digital twin workflows. * Work with the entire NVIDIA Data Center Engineering (DCE) team across cooling, power, controls, and architecture. * Validate simulations with lab and field data and define performance envelopes for cooling technologies. What We Need to See: * Pursuing PhD in Mechanical Engineering, Thermal Sciences, Computational Engineering, or closely related field. * Solid understanding of thermofluid dynamics, single- and two-phase heat transfer, and data center cooling systems. * Experience with CFD tools such as Cadence, Ansys Fluent, STAR-CCM+, or similar. * Experience with flow network modeling tools such as Flownex. * Strong programming ability in Python. * Experience with USD, SimReady standards, or Omniverse workflows. Ways to Stand Out from the crowd: * Experience in two-phase digital twin modeling familiarity with predictive digital twins or integrating ML/AI with physics-based models. * Experience developing custom Omniverse extensions or simulation automation tools. * Publications or research in thermal management or digital twins. NVIDIA is widely recognized as one of the technology industry's most desirable employers, with some of the most forward-thinking and dedicated people in the world. If you're creative, autonomous, and driven, we want to hear from you! Our 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 30 USD - 94 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What you do at AMD changes everything We care deeply about transforming lives with AMD technology to enrich our industry, our communities and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence, while being direct, humble, collaborative and inclusive of diverse perspectives. This is who we are at our best. One Company. One Team. AMD together we advance_ The System Validation team plays a key role in validation of complex SOCs in pre-silicon and post silicon. Our most recent project Versal ACAP, a fully software-programmable, heterogeneous compute platform that combines Scalar Engines, Adaptable Engines, and Intelligent Engines to achieve dramatic performance improvements with dual core ARM processing system and Programmable logic is known for Industry's first Heterogeneous architecture. We are looking for a passionate engineer to work with us on our latest SOC - Versal. We are looking for an aspiring Systems Design Engineer with a strong background in software to join the System-level Test team in San Jose. As a System Validation Engineering Intern, you will be involved in the silicon life cycle from testing of emulated next-generation RTL through to silicon verification and characterization. You will have a view of the full system but also will become an expert in certain IP down to the register-level. We are looking for someone who can span the range of able to develop device drivers in software to debug on hardware. As an intern on our team, you will gain real engineering experience in working with complex SOC and validation software and make a difference to the quality of our products. Responsibilities Assist in bringing up system level validation tool on new silicon Run regressions and experiments to help root cause issues Enhance existing test software for system-level validation and verification of existing and new FPGA features. Design, develop, implement, test, and verify systems based on FPGAs with embedded Micro Blaze or ARM processors Help to develop novel methods for system-level modeling and verification Help automate design, test, and build processes Qualificiations Must be a student enrolled in a bachelor's or master's degree program in Electrical / Computer Engineering with an emphasis on embedded system development and/or computer architecture Computer Architecture class(es) required Programming languages: C, Python, Verilog To support our group, we are looking for a intern that can commit to a full time (40 hr per week), 4-12-month internship starting in January 2023. You must be able to work onsite at are San Jose, CA Office. Located at 2100 Logic Dr, San Jose, CA 95124 Shorter internships will NOT be considered. Requisition Number: 185604 Country: United States State: California City: San Jose Job Function: Student/ Intern/ Temp Benefits offered are described here. AMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. AMD and its subsidiaries are equal opportunity employers. We consider candidates regardless of age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status. Please click here for more information.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Are you ready to demonstrate your financial expertise and embark on an exciting journey into the innovative realm of technology? Look no further than NVIDIA, the pioneer of accelerated computing that is taking on challenges no one else can solve. We are seeking a dynamic and detail-oriented Financial Analyst MBA Intern to join our experienced finance team supporting NVIDIA's global real estate portfolio. If you possess an unyielding passion for finance, being responsible for overseeing large-scale projects, and an unwavering dedication to excellence, this is the opportunity you've been waiting for! Join our team and be at the forefront of the future, where possibilities are limitless and groundbreaking achievements are within your grasp. Let's redefine the future together! What you'll be doing: * Conduct a comprehensive financial analysis of actual spending to identify trends, areas for investment, and opportunities for optimizing investments, support forecasting and improve efficiency in handling operational and capital expenses * Provide analyses is to assist in driving key decision making for executive leadership * Create insightful business dashboards and reports on key real estate matters What we need to see: * Pursuing your MBA degree (December 2026 to July 2027 graduation date) * Background in corporate finance, accounting, data science, business analytics, or other analytically focused positions * Advanced experience in building financial models and highly adept with Excel * Hands-on experience with financial software and BI reporting tools * Ability to incorporate new approaches and methodologies while dealing with complex data Ways to stand out from the crowd: * Prior work experience in real estate, construction, or facilities management. * Understanding of lease accounting standards (ASC 842) and the correlations and impacts related to lease terms and conditions * Experience driving systems & tool development, specifically in measuring operational performance and KPIs * SAP, BPC, Power BI, Tableau, or other finance applications such as Alteryx or visualization tools is a plus * Demonstrated expertise in SQL and data analysis Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family *********************** Our 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 27 USD - 82 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. We are seeking an energetic Financial Analyst MBA Intern to join our Data Center Compute FP&A team at NVIDIA. This is a great role for a highly motivated individual who can succeed in a fast-paced and rapidly changing environment! This role requires an individual who will thrive in an ambiguous environment and make a big impact. You will have a passion for providing data-based decision making, looking for areas of improvement and implementing automation to reduce your manual workload to focus on delivering insights to the business. What you'll be doing: * Provide in-depth financial analysis of sales pipelines and opportunities to drive insights on demand trends, regional market dynamics, and solutions adoption/transitions. * Prepare monthly and quarterly management reporting packages. * Assist in developing the forecasting models for customer regions and industry verticals across business lines to understand the dynamic demand environment. * Identify opportunities to drive new insights and process improvement leveraging systems and tools such as Salesforce, PowerBI, and advanced Excel financial modeling. * Detail oriented, highly analytical, and able to translate data and trends into powerful strategies and compelling messages. * Own financial data and reports to ensure they are both accurate and updated. * Provide analyses is to assist in driving key decision making for executive leadership. * Create insightful business dashboards and reports to monitor high-priority focus areas. What we need to see: * Currently pursuing an MBA degree * Proficiency in Power BI or Tableau, specifically creating automated dashboard * Ability to question the output of a financial model and consider options for improvement. * Detail oriented with the ability to perform with accuracy under deadlines. * Desire to learn new technologies and have a great intellectual curiosity. * Positive and upbeat attitude that thrives in a team environment. * Background in finance, business analytics, or other analytically focused positions Ways to stand out from the crowd: * Balance of strong academic and extracurricular activities. * Leadership positions. * Strong analytical skills and advanced financial modeling techniques. * Exemplary communication, written and verbal, and interpersonal skills. * Prior work experience in Finance in the Technology sector. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family *********************** Our 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 27 USD - 82 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

By submitting your resume, you're expressing interest in one of our 2026 Systems Software Engineering Internships. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Systems Software teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Throughout the 12-week minimum full-time internship, students will work on projects that have a measurable impact on our business. We're looking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field. Potential Internships in this field include: Systems Software * Defining, designing, and developing integrated (e.g., Jetson Orin) and discrete (e.g., Hopper H100) GPU system software components (e.g., runtime, math libraries) with focus on power and performance, as well as creating architecture and design specifications * Course or internship experience related to the following areas could be required: Operating Systems (Threads, Process Control, Memory/Resource Management, Virtual Memory), Multithreaded Debugging, Linux Kernel Development, RTOS Development on Embedded Platforms, Data Structures & Algorithms (time/space complexity), Computer Networking (TPC/IP, OSI Model, Sockets) Graphics Systems Software * Designing and implementing of OpenGL, OpenGL ES, and Vulkan graphics drivers, platform support, and conformance tests to support new hardware features in collaboration with other software, hardware, architecture, and support teams * Training and debugging various issues within the Tegra graphics software stack * Course or internship experience related to the following areas could be required: Computer Architecture, Operating Systems, Real-Time Systems Development, Device Driver Programming, Game Console Middleware, or other Low-Level Library Development, 3D/2D Graphics Theory, Implementation & Optimizations, Simulation or Emulation (writing & debugging tests) Compiler * Working at the center of deep-learning compiler technology, spanning architecture design and support through functional languages * Investigating problems or optimization opportunities within the Compiler backend by working with global compiler, hardware, and application teams to oversee improvements and problem resolutions * Course or internship experience related to the following areas could be required: Operating Systems Compiler, Compiler Construction, Advanced Algorithms and Data Structures, Computer Architecture, Compiler Development, Open Source Programming, High-Performance Computing (HPC), Automation Tools (XLA, TVM, Halide), Open Source Tools (CLANG, LLBM, gcc) Firmware & Embedded Software * Supporting development of firmware run on embedded microcontrollers within GPUs, while optimizing software to improve system robustness, performance, and security * Participating in testing new and existing firmware, and developing tools and infrastructure to improve our front-end design and verification process * Course or internship experience related to the following areas could be required: Operating Systems (Threads, Process Control, Memory/Resource Management, Virtual Memory), Embedded Systems (Processors, Firmware, Input/Output Devices and Memory), Real-Time Performance, Low-Level Development, Data Structures & Algorithms, Computer Architecture, Computer Systems Software, Linux Kernel Development, Multi-Threaded or Multi-Process Programming, RTOS Development on Embedded Platforms Software Security * Hardening and developing secure solutions across the software stack, spanning multi-node supercomputers down to microcontrollers and security co-processors * Building tools and infrastructure to scale security efforts across large organizations and codebases with millions of lines of code * Course or internship experience related to the following areas could be required: Operating Systems, Data Structures & Algorithms, Computer Networking, Network Security, Cryptography, Computer Systems Architecture, Microcontroller and Microprocessor fundamentals (Caches, Buses, Memory Controllers, DMA, etc.) What we need to see: Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship. Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: * C, C++, CUDA, x86, ARM CPU, GPU, Embedded C, Linux, Linux Kernel Development, Perl, Bash/Shell Scripting * Operating Systems (Threads, Process Control, Memory/Resource Management, Virtual Memory), Formal Verification Tools (Spark, Frama-C), Linux Kernel Development, Multi-Threaded or Multi-Process Programming, Computer Networking (TPC/IP, OSI Model, Sockets), Open Source Tools (CLANG, LLBM, gcc), Testing Production/Automation Tools (XLA, TVM, Halide), Microprocessor Fundamentals (Caches, Buses, Memory Controllers, DMA, etc.) Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors. Our 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 - 71 USD. You will also be eligible for Intern benefits. Applications are accepted on an ongoing basis. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA builds the most advanced data center GPUs in world that are utilized in a growing number of computing areas ranging from life sciences to deep learning to quantum chemistry. NVIDIA strives to deliver the best possible performance, which allows researchers and scientists to do more world-changing work than ever before. We are now looking for a Performance Engineer Intern focused on Deep Learning (DL) & High-Performance Computing (HPC) applications to join our diverse team. Our team is responsible for generating benchmark data across a rapidly growing catalog of Deep Learning & HPC frameworks/applications on Nvidia and as well as competitive products. The data that we collect drives marketing/sales collaterals as well as engineering studies for current and future products. In some instances, we'll write scripts that improve the team's ability to gather data through automation and designing efficient processes for testing a wide variety of applications and hardware. You will have the opportunity to work with multi-functional teams and in a dynamic environment where multiple projects will be active at once and priorities may shift frequently. Preferred duration of the internship: 8 months minimum What you'll be doing: Plan and execute GPU performance benchmarking across a wide range of HPC and DL frameworks and applications Aggregate, analyze, and generate written and visual reports with the testing data for internal sales, marketing, SW, and HW teams Develop Python scripts to automate the testing of DL & HPC-focused applications Work with internal engineering team to debug performance issues Learn to use the latest applications in the fields of Deep Learning and HPC Assist with the development of tools and processes that improve our ability to perform automated testing What we need to see: Pursuing bachelors degree in Computer Engineering, Computer Science or related technical field Excellent programming and debugging skills in a scripting language such as Python or Unix shell Advanced knowledge using Linux based systems (Ubuntu and CentOS strongly preferred) Proficient in compiling software from source code, including debugging errors encountered Excellent English verbal and written interpersonal skills to improve collaboration with coworkers Excellent data analysis skills and the ability to summarize findings in a written report Familiarity using a container platform such as Docker or Singularity Ways to stand out from the crowd: Experience using a GPU-enabled deep learning framework such as TensorFlow, PyTorch, MXNet, or TensorRT Experience using GPU-enabled HPC applications such as LAMMPS, GROMACS, Amber, RTM, etc… Experience with GPU/CPU benchmarking on cloud solutions from AWS, GCP, Azure GPU programming experience in CUDA, OpenACC, or OpenCL Familiarity with software compilers such as GNU, Intel Composer, or PGI Previous experience with computer clusters, Slurm, Kubernetes. We have some of the most forward thinking and hardworking people in the world working for us and our best-in-class engineering teams are rapidly growing. We are building a team that will help shape the future of data center computing. If you are passionate about new technologies, care about improving efficiency and quality, and want to be at the forefront of AI & HPC, we would love for you to join us. Our 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 - 71 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until January 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

By submitting your resume, you're expressing interest in one of our 2026 Hardware Physical Design / VLSI Internships. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Hardware teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Throughout the 12-week minimum full-time internship, students will work on projects that have a measurable impact on our business. We're looking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field. What we need to see: Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship. Course or internship experience related to the following areas could be : Synthesis, Static Timing Analysis, Clock/Power Distribution and Analysis, RC Extraction and Correlation, Place and Route, Circuit Design VLSI, Computer Architecture, Digital/Micro Electronics, Mixed-Signal Design, Digital Design, Logic Design CAD and Physical Design Methodologies (Flow and Tools Development), Chop Floorplan, Power/Clock Distribution, Packaging, P&R (Place and Route) and Timing Closure Chip Floor Plan, Power/Clock Distribution, Chip Assembly, Timing Closure, Power and Noise Analysis, and Back-End Verification EDA Vendor (Synopsys, Cadence, Mentor, etc.) tool suites such as: ICC2, PrimeTime, dc_shell, Innovus, SeaHawk Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: Perl, C, C++, TCL, SPICE, Linux, Verilog, SKILL, Make, ICC2, Design Compiler, PrimeTime (Synopsys, First Encounter), Innovus, Virtuoso (Cadence) Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors. Our 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 - 71 USD. You will also be eligible for Intern benefits. Applications are accepted on an ongoing basis. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

The landscape of GPU-accelerated AI, deep learning, and machine learning is rapidly evolving. As AI transitions from pioneering research to mainstream applications, every global enterprise is keen on leveraging it. From improving operational efficiencies to crafting exceptional user experiences, AI is truly making the world better. At NVIDIA, we're at the forefront of this change. We're seeking a self-driven Technical Product Manager Intern to join our Enterprise Product Group. You'll be working on groundbreaking NVIDIA technologies that cater to enterprises from edge computing to data centers and the cloud. Partner with brilliant minds in engineering, operations, and marketing to lead products through their entire life cycle. At NVIDIA, you will be part of a diverse, collaborative environment where everyone is inspired to do their best work. Join us and see how you can make a lasting impact on the world. NVIDIA's Enterprise Product Group is a small, dynamic, and highly motivated team behind DGX systems and DGX SuperPOD-the platforms that established NVIDIA as the gold standard in AI development and deployment. By delivering turnkey, integrated solutions, the team helped transform NVIDIA from a GPU hardware vendor into a full-stack AI and data-center company. We are looking for a proven product leader with a strong track record of delivering enterprise platforms and the expertise to drive continued adoption of these solutions across global enterprises. What you'll be doing: Assist in various product management tasks, including market research, customer needs analysis, and idea generation for new products and features. Default to action, identify product gaps and begin writing code to fix them using AI. Develop novel use cases of existing products to show the art of the possible with NVIDIA Gen AI software libraries. Conduct competitive and market analysis across AI infrastructure software ecosystems. Update documentation based on user feedback, feature updates, etc. Collaborate cross-functionally with design, product, and marketing to build great UX and landing surfaces. Supervise customer feedback and product performance metrics. Develop and update the product roadmap and relevant documentation. Drive OSS contributions and cultivate community engagement with our open infrastructure libraries. What we need to see: Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Information Science, Electrical Engineering, or a similar field. Hands-on experience with Git, including basic command-line skills. Strong interpersonal skills and the ability to work optimally in a collaborative environment Completed at least one technical project (class, hackathon, or personal) involving AI, ML, data science, distributed systems, or backend infrastructure Familiarity with cloud environments (AWS, GCP, or Azure), including deploying or maintaining small services or apps. Proficiency in AI assisted code tooling like Cursor, Windsurf, Claude Code, etc. Ways to stand out from the crowd: Genuine excitement towards the software you will be building. Experience building AI models or workflows in a technical setting or product management Experience in demonstrating or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry Portfolio with projects that leverage Gen AI to solve real world problems Relevant contributions to OSS projects Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family *********************** Our 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 - 71 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

The NVIDIA Math Libraries team is seeking interns in the area of quantum computing software development. We have extended NVIDIA's accelerated computing platform that has revolutionized HPC and AI, with the cu Quantum SDK. This exciting product helps researchers and framework builders in Quantum Computing (QC) tackle larger problems faster and increase the pace of innovation. During this internship you will work closely with engineering and research teams across NVIDIA to help design, develop, and optimize software to accelerate different elements of QC workflows. Ideal candidates will have a curiosity about developing proof-of-concept implementations quickly and a willingness to iterate on those. Are you passionate about groundbreaking technology? If so, we would love to learn more about you! What you'll be doing: * Assist with software engineering activities around proof-of-concept development of creative and innovative algorithms. * Collaborate with team members and specialists from other teams to understand software use cases and requirements * Help productize new functionality through design, development, debugging, testing, and documentation under the mentorship of senior engineers on your team * Analyze the performance of GPU or CPU implementations and find opportunities for algorithmic or implementation improvements * Present your results and findings throughout your internship What we need to see: * Pursuing a M.S. or Ph.D. degree in Computer Science, Applied Math, Physics, or other related science or engineering field * Experience with quantum algorithms, programming systems, or hybrid classical/quantum computations * Strong software development skills with C++ and Python * Strong fundamentals in algorithms and numerical methods, particularly linear algebra * Good teamwork, communication, and documentation skills Ways to stand out from the crowd: * Experience with Tensor Networks or State Vector or Quantum Error Correction methods for Quantum Circuit Simulations * Parallel programming experience using multi-threading * CUDA C++ programming experience NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working for us to provide capabilities which could not be imagined even a few years ago. If you're creative and love building the next generation of technologies that will be used throughout the world and have a real passion for technology, we want to hear from you. Our 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 - 71 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until January 16, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

By submitting your resume, you're expressing interest in one of our 2026 Generative AI focused Research Internships. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Generative AI teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Learn more about Research at NVIDIA. What you will be doing: Design and implement algorithms that push the boundaries of generative AI, computer vision, robotics, and other technology domains relevant to NVIDIA's business. Collaborate with other team members, teams, and/or external researchers. Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products, and/or publishing original research. What we need to see: Must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship. Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies: Python, C++, CUDA, Deep Learning Frameworks (PyTorch, JAX, Tensorflow, etc.) Strong background in research with publications at top conferences. Excellent communication and collaboration skills. Experience with large-scale model training is a plus. Potential internships require research experience in at least one of the following areas: Multimodal Foundation Models Diffusion Models World Models Image, Video, or Audio Generation Large Language Models Vision-Language Models Action-Based Transformers Long Context Methods Physics-Based Simulation Flow Based Generative Models Synthetic Data Generation AI for Science Protein/Molecule Generation Climate Modeling and Weather Forecasting Partial Differential Equations (PDEs) Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors. Our 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 30 USD - 94 USD. You will also be eligible for Intern benefits. Applications are accepted on an ongoing basis. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. We are seeking an energetic Financial Analyst MBA intern to join our Hardware Engineering FP&A team at NVIDIA. In this role, you'll partner closely with engineering and operations teams to build cost models, analyze technology shifts, and provide visibility into program economics that influence strategic decisions. The role requires an individual who will thrive in an ambiguous environment and make a big impact. You should have a passion for providing data-based decision making, and are constantly looking for areas of improvement and implementing automation to reduce manual workload to focus on delivering insights to the business. What you'll be doing: Support financial analysis and reporting for engineering programs, including cost modeling and forecasting. Assist in building and maintaining models to provide visibility into program costs and investment drivers. Analyze spending trends and find opportunities for optimization across OPEX and CAPEX categories. Collaborate with cross-functional teams to integrate cost insights into broader financial planning processes. Prepare management reporting packages and deliver clear, actionable insights to leadership. Contribute to process improvements and automation initiatives to enhance efficiency and accuracy. What we need to see: Currently pursuing an MBA with a concentration in Finance, Economics, or a related quantitative field. Advanced proficiency in Excel with the ability to build, question, and improve complex financial models and cost projections from scratch. Applied knowledge of cost modeling principles, specifically regarding Bill of Materials (BOM) structures, NRE (Non-Recurring Engineering) tracking, and Opex forecasting. Demonstrated understanding of data center infrastructure, server architecture, and hardware components to identify material cost drivers. Ability to synthesize large datasets using tools like SQL, Tableau, or Power BI to integrate cost insights into executive-level reporting. Strong collaborative skills with the ability to partner with Engineering and Operations teams to align technical roadmaps with financial board-level processes. Ways to stand out from the crowd: Experience or coursework in cost modeling, BOM analysis, or technology hardware economics. Leadership experience in academic or extracurricular activities. Prior finance experience in the technology or hardware sector. Demonstrated ability to automate processes or improve efficiency. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family *********************** Our 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 27 USD - 82 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until January 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. As an AMD intern, you'll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You'll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you're an undergrad or a PhD student, your contributions matter-and your experience here will be a launchpad for what comes next. JOB DETAILS: * Location: San Jose, CA * Onsite/Hybrid: This role requires the student to work full time (40 hours a week), onsite 5 days/week work structure throughout the duration of the intern term. * Duration: May 18, 2026 through August 7, 2026 WHAT YOU'LL BE DOING: DFE Technology team develops high performance and low-cost digital front end (DFE) Radio designs for 5G/6G and future base stations with AMD's unique RFSoC and Versal products and influences future device architectures. As a DSP and ML Engineer Intern, you will have the opportunity to work with experienced team members on: * Tx/Rx RF modeling in MATLAB for RF Amplifier non-linear responses using advanced ML algorithms * Explore various network structures for training and inference engines WHO WE'RE LOOKING FOR: You are currently enrolled in a US based University into a PhD degree program If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply - * Completed Electromagnetic Theory, Matrix Theory, Digital Signal Processing and Digital Communications coursework * Completed coursework in machine learning and various neural networks * Background in non-linear system analysis * Background in RNN, LSTM and other advanced long memory network * Background in Wireless Communications * PhD Candidate - Wired/Wireless Communications background * Strong organizational skills * Strong written & verbal communications * Drive to succeed - we expect our team members to engage with a passion! Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you. Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. We are seeking an energetic Financial Analyst MBA Intern to join our Data Center Compute FP&A team at NVIDIA. This is a great role for a highly motivated individual who can succeed in a fast-paced and rapidly changing environment! This role requires an individual who will thrive in an ambiguous environment and make a big impact. You will have a passion for providing data-based decision making, looking for areas of improvement and implementing automation to reduce your manual workload to focus on delivering insights to the business. What you'll be doing: Provide in-depth financial analysis of sales pipelines and opportunities to drive insights on demand trends, regional market dynamics, and solutions adoption/transitions. Prepare monthly and quarterly management reporting packages. Assist in developing the forecasting models for customer regions and industry verticals across business lines to understand the dynamic demand environment. Identify opportunities to drive new insights and process improvement leveraging systems and tools such as Salesforce, PowerBI, and advanced Excel financial modeling. Detail oriented, highly analytical, and able to translate data and trends into powerful strategies and compelling messages. Own financial data and reports to ensure they are both accurate and updated. Provide analyses is to assist in driving key decision making for executive leadership. Create insightful business dashboards and reports to monitor high-priority focus areas. What we need to see: Currently pursuing an MBA degree Proficiency in Power BI or Tableau, specifically creating automated dashboard Ability to question the output of a financial model and consider options for improvement. Detail oriented with the ability to perform with accuracy under deadlines. Desire to learn new technologies and have a great intellectual curiosity. Positive and upbeat attitude that thrives in a team environment. Background in finance, business analytics, or other analytically focused positions Ways to stand out from the crowd: Balance of strong academic and extracurricular activities. Leadership positions. Strong analytical skills and advanced financial modeling techniques. Exemplary communication, written and verbal, and interpersonal skills. Prior work experience in Finance in the Technology sector. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family *********************** Our 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 27 USD - 82 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

By submitting your resume, you're expressing interest in one of our 2026 Hardware ASIC Design Internships. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Hardware teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Throughout the 12-weekminimum full-time internship, students will work on projects that have a measurable impact on our business. We're looking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field. What we need to see: Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship. Course or internship experience related to the following areas could be : Digital Systems, Digital Design, VLSI Design, RTL Design, Chip Blueprint, Power and Performance Optimization, Testbench Creation Computer Architecture, Computer Arithmetic, Object-Oriented Programming, CMOS Transistors, Circuits, Infrastructure Development Architectural Tradeoff Analysis, Power and Noise Analysis, Silicon Instrumentation and Measurement CAD and Physical Design Methodologies (Flow and Tools Development), Chop Floorplan, Power/Clock Distribution, Packaging, P&R and Timing Closure Performance, Verification, and Emulation Methodology Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: SystemVerilog, Verilog, VHDL, UVM, Perl, Python, TCL, C, C++, Linux, Testbench Tools Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors. Our 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 - 71 USD. You will also be eligible for Intern benefits. Applications are accepted on an ongoing basis. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! What you will be doing: Conduct user experience studies analyzing road users behavior to inspire product decisions Closely work with product and engineering teams to define the product based on the studies Drive execution across eng and operation teams Tie the issues to root causes and solutions in issue management system (JIRA) What we need to see: Pursuing an MBA (graduating in Dec 2026 or spring 2027) Deep knowledge of issue management tools (i.e. JIRA) 3+ years of experience in software engineering or automotive engineering Knowledge or experience with AV products Ways to stand out from the crowd: Deep knowledge of L2/3 autonomous driving systems Deep understanding of categorizing incoming product level issues into useful categories Deep knowledge of driving product engineering stack Previous experience working in or closely with a Product Management team. NVIDIA is widely considered to be one of the technology world's most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you. Our 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 27 USD - 82 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

By submitting your resume, you're expressing interest in one of our 2026 Systems Software Engineering Internships. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Systems Software teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Throughout the 12-week minimum full-time internship, students will work on projects that have a measurable impact on our business. We're looking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field. Potential Internships in this field include: Systems Software Defining, designing, and developing integrated (e.g., Jetson Orin) and discrete (e.g., Hopper H100) GPU system software components (e.g., runtime, math libraries) with focus on power and performance, as well as creating architecture and design specifications Course or internship experience related to the following areas could be : Operating Systems (Threads, Process Control, Memory/Resource Management, Virtual Memory), Multithreaded Debugging, Linux Kernel Development, RTOS Development on Embedded Platforms, Data Structures & Algorithms (time/space complexity), Computer Networking (TPC/IP, OSI Model, Sockets) Graphics Systems Software Designing and implementing of OpenGL, OpenGL ES, and Vulkan graphics drivers, platform support, and conformance tests to support new hardware features in collaboration with other software, hardware, architecture, and support teams Training and debugging various issues within the Tegra graphics software stack Course or internship experience related to the following areas could be : Computer Architecture, Operating Systems, Real-Time Systems Development, Device Driver Programming, Game Console Middleware, or other Low-Level Library Development, 3D/2D Graphics Theory, Implementation & Optimizations, Simulation or Emulation (writing & debugging tests) Compiler Working at the center of deep-learning compiler technology, spanning architecture design and support through functional languages Investigating problems or optimization opportunities within the Compiler backend by working with global compiler, hardware, and application teams to oversee improvements and problem resolutions Course or internship experience related to the following areas could be : Operating Systems Compiler, Compiler Construction, Advanced Algorithms and Data Structures, Computer Architecture, Compiler Development, Open Source Programming, High-Performance Computing (HPC), Automation Tools (XLA, TVM, Halide), Open Source Tools (CLANG, LLBM, gcc) Firmware & Embedded Software Supporting development of firmware run on embedded microcontrollers within GPUs, while optimizing software to improve system robustness, performance, and security Participating in testing new and existing firmware, and developing tools and infrastructure to improve our front-end design and verification process Course or internship experience related to the following areas could be : Operating Systems (Threads, Process Control, Memory/Resource Management, Virtual Memory), Embedded Systems (Processors, Firmware, Input/Output Devices and Memory), Real-Time Performance, Low-Level Development, Data Structures & Algorithms, Computer Architecture, Computer Systems Software, Linux Kernel Development, Multi-Threaded or Multi-Process Programming, RTOS Development on Embedded Platforms Software Security Hardening and developing secure solutions across the software stack, spanning multi-node supercomputers down to microcontrollers and security co-processors Building tools and infrastructure to scale security efforts across large organizations and codebases with millions of lines of code Course or internship experience related to the following areas could be : Operating Systems, Data Structures & Algorithms, Computer Networking, Network Security, Cryptography, Computer Systems Architecture, Microcontroller and Microprocessor fundamentals (Caches, Buses, Memory Controllers, DMA, etc.) What we need to see: Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship. Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: C, C++, CUDA, x86, ARM CPU, GPU, Embedded C, Linux, Linux Kernel Development, Perl, Bash/Shell Scripting Operating Systems (Threads, Process Control, Memory/Resource Management, Virtual Memory), Formal Verification Tools (Spark, Frama-C), Linux Kernel Development, Multi-Threaded or Multi-Process Programming, Computer Networking (TPC/IP, OSI Model, Sockets), Open Source Tools (CLANG, LLBM, gcc), Testing Production/Automation Tools (XLA, TVM, Halide), Microprocessor Fundamentals (Caches, Buses, Memory Controllers, DMA, etc.) Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors. Our 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 - 71 USD. You will also be eligible for Intern benefits. Applications are accepted on an ongoing basis. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. We are seeking an energetic Financial Analyst intern to join our Software Engineering FP&A team at NVIDIA. This is a great role for a highly motivated individual who can function in a fast-paced and rapidly changing environment! This role requires an individual who will thrive in an ambiguous environment and make a big impact. You will have a passion for providing data-based decision making and looking for areas of improvement and implementation to reduce manual workload to focus on delivering insights to the business. What you'll be doing: Provide in-depth financial analysis of actual spending to drive insights into trends, investment areas, and opportunities to optimize investments. Assist with forecasting OPEX & CAPEX, actual vs forecast analyses and summarize spending trends. Prepare monthly and quarterly management reporting packages. Assist in developing the forecasting models for various spend categories to understand the financial health of various departments. Detail oriented, highly analytical, and able to translate data and trends into powerful strategies and compelling messages. Own financial data and reports to ensure they are both accurate and updated. Collaborate cross functionally with key business partners. What we need to see: Pursuing an Bachelor's degree with a concentration in Accounting, Finance, Economics, or a related field. Able to critically assess financial model outputs and identify potential improvements. Demonstrates high attention to detail and accuracy, especially when working under tight deadlines. A strong desire to learn new technologies and an eagerness for intellectual growth are valued. Possesses a solid understanding of AV operations and can build cost models, with strong critical thinking and problem-solving abilities. Works well in collaboration with Engineering and Operations teams to ensure alignment on project roadmaps. Positive attitude and contributes as a supportive team player. Ways to stand out from the crowd: Balance of strong academic and extracurricular activities. Leadership positions. Strong analytical skills and advanced financial modeling techniques. Exemplary communication, written and verbal, and interpersonal skills. Prior work experience in Finance in the Technology sector. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family *********************** Our 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 - 71 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.