Architectural Internship jobs at NVIDIA

By submitting your resume, you're expressing interest in one of our 2026 Computer Architecture 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 Computer Architecture 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 required: Computer Architecture experience in one or more of these focus areas: Computer Graphics, Deep Learning, Ray Tracing, Parallel Programming, Memory Architecture, or High-Performance Computing Systems Digital Systems, VLSI Design, GPU or CPU Architecture, Computer Arithmetic, CMOS Transistors and Circuits, Computer Organization, Computer System Design Deep Learning, Modelling/Performance Analysis, Parallel Programming Hardware Control Programming, GPU Acceleration, Parallel Processing (CUDA), High-Performance Computing (HPC), Embedded Systems Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: Verilog, SystemVerilog, VHDL, Linux, C, C++, Python, Perl, Modern Graphics APIs (DirectX, OpenGL, Vulkan), GPU Computing (CUDA, OpenCL), Revision Control (Perforce, Git), HPC (MPI, OpenMP) 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. 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 Deep Learning Computer Architecture 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 Deep Learning Computer Architecture 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 required: Computer Architecture experience in one or more of these focus areas: GPU Architecture, CPU Architecture, Deep Learning, GPU Computing, Parallel Programming, or High-Performance Computing Systems GPU Computing (CUDA, OpenCL, OpenACC), GPU Memory Systems, Deep Learning Frameworks (PyTorch, TensorFlow, Keras, Caffe), HPC (MPI, OpenMP) Modelling/Performance Analysis, Parallel Processing, Neural Network Architectures, GPU Acceleration, Deep Learning Neural Networks, Compiler Programming Performance Modeling, Profiling, Optimizing, and/or Analysis Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: C, C++, Python, Perl, GPU Computing (CUDA, OpenCL, OpenACC), Deep Learning Frameworks (PyTorch, TensorFlow, Caffe), HPC (MPI, OpenMP) 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. 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.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category User Experience Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. We are hiring a Product Design Architect to help craft the future of our enterprise data platform. Product Design Architects are recognized as inspiring leaders that define product direction and set/hold the bar for best-in-class, innovative design. This is an opportunity to shape the user experience in ways that solve meaningful problems, design with a focus on inclusivity and accessibility, and make life better for all users and customers of our data platform. Behind each product is a team of talented UX designers and engineers, driven by the power of design to build integrated and ethical experiences that support strong relationships for our users and their customers. As a talented and seasoned Architect, this role will craft visions that enable the success of our customers working with complex data workflows and analytics. We're looking for someone who can define strategy, prototype product visions, and collaborate across Salesforce's product and design organization to bring the vision to market - all while setting the bar for design excellence and creating new patterns and paradigms for data experience design. Work on some of the world's biggest design challenges on a team that strongly values design-first thinking. Bring your skills, inspire your team, and create amazing experiences as you help us transform the way businesses interact with and derive insights from their data. About Our Data Platform Our enterprise data platform enables organizations to unify, manage, and activate their data at scale. This program focuses on making complex data operations intuitive and accessible, ensuring that users can seamlessly connect disparate data sources and perform advanced actions. The platform serves diverse user personas from data engineers and analysts to business users and executives, each with unique workflows and technical requirements. What you'll be doing * Collaborate with the most seasoned design, engineering, and product partners - including our GMs - to drive vision and strategy for our enterprise data platform development, via design. * Create prototypes that enable Salesforce to explore our data product visions with real data and complex data workflows. * Salesforce is organized into product pillars, each of which are responsible for large strategies and product surfaces. You will drive complex design initiatives that span across multiple pillars, with particular focus on data integration and cross-platform consistency. * Work with cross functional partners to define business goals and strategic vision at both the Salesforce data platform and pillar levels. * Communicate and reinforce product vision and business objectives in a way that all levels and roles understand and are inspired by. * Collaborate within the design team on systemic initiatives such as evolving our design system for data experiences, our design practices, and our prototyping process. * Establish and evangelize data experience design patterns, information architecture principles, and interaction paradigms that work across our data platform ecosystem. * Be an active mentor for other designers. * Be an active and prominent advocate for Salesforce design, help build our design community. * Help guide, improve, and implement design and feedback processes. * Attract top talent, interview candidates, and actively improve our inclusive design hiring process. What you should have * 12+ years of significant experience in a leading individual contributor role, on a product design team for data experience design * An outstanding portfolio, showcasing a foundation in applied design skills and idea generation * Experience working and collaborating with diverse teams in a dynamic environment * Substantial experience collaborating well with product managers and engineering, to develop vision, strategy and rationale, particularly for data-intensive products or platforms * A track record of mentoring designers and design teams towards excellence * Demonstrated experience with prototyping as a means to explore and convey design solutions * Experience designing for multiple user personas within the same product * Strong written and verbal communication skills * Preferred - proficient in data design patterns, cross-platform data consistency and working with data engineering teams Please submit a résumé with links and password to your portfolio. Submissions without portfolios or work samples will not be considered. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $230,700 - $351,800 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $251,900- $384,100 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: ******************************************* to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $230,700 - $351,800 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $251,900 - $384,100 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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. THE PERSON: This role is ideal for a strategic thinker who thrives in solving large-scale technical challenges without losing sight of execution realities. You are: * A visionary and a builder - someone who can define and improve DV frameworks that will last through generations of silicon. * A mentor and a unifier - guiding diverse teams across geographies and backgrounds, aligning them to a shared DV mission. * A strong communicator who brings clarity and confidence when navigating ambiguity or resolving conflicting technical perspectives. * Comfortable influencing without authority and leading through technical credibility * Motivated by impact - not just doing DV but transforming how it's done at scale. THE ROLE: At AMD, we believe in "We before Me" - and this role exemplifies that value. Success here means making those around you better through leadership, knowledge sharing, and collaboration. * We are building high-performance computing technologies that are powering the future - from gaming and AI to hyperscale data centers and beyond. To help us continue this trajectory of excellence and innovation, we're looking for a CPU Design Verification Architect to drive the strategic vision of DV for our next-generation CPU cores. * This is a technical leadership position focused on methodology design, infrastructure planning, and team enablement. You will set the standard for quality, coverage, and scalability across a wide array of processor verification efforts. * If you have multiple successful tape-outs, a vision for world-class DV strategy, and the ability to orchestrate technical teams toward measurable impact, this role is your opportunity to shape the core of AMD's processor roadmap. KEY RESPONSIBILITIES: * Define and own the overall DV architecture for high-performance CPU cores, ensuring scalability across variants and generations. * Collaborate closely with design, microarchitecture, emulation, and verification leads/architects to build aligned verification strategies. * Lead the evaluation and enhancement of AMD's DV infrastructure and methodologies, to drive RTL quality and project intercept. * Provide technical mentorship and strategic direction to DV leads and engineers across global AMD sites. * Anticipate architectural and verification risks early and drive systemic solutions before they impact delivery. * Influence cross-functional decision-making through a blend of technical insight and collaborative communication. * Champion long-term DV innovation by staying current on AI/ML techniques, formal verification, and emulation strategies - and knowing when to integrate them into project flow. PREFERRED EXPERIENCE: * Expertise in Design Verification with an emphasis on CPU architecture and core-level verification. * Proven tape-out experience across multiple CPU or processor projects. * Strong grasp of DV methodologies: coverage-driven verification, formal, and infrastructure strategy. * Solid understanding of computer architecture fundamentals: pipelines, caching, coherency, load/store, execution units, etc. * Strong documentation, planning, and cross-functional coordination skills. * Familiarity with x86 or ARM CPU cores. NICE TO HAVE: * Experience with formal verification or ML/AI-enhanced DV tools. * Track record of leading cross-site DV architecture initiatives in high-performance compute environments. ACADEMIC CREDENTIALS: Bachelors or Masters degree in computer engineering/Electrical Engineering LOCATION: Santa Clara #LI-DC1 #HYBRID 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.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Role summary Be the executive technical face of Firefly Foundry for Media & Entertainment. You'll partner with studio, streaming, network, sports, and gaming executives (CIO, CCO, CMO, CTO, Head of Post) to reinvent content pipelines with Firefly - taking initiatives from pilot to global rollout - using Firefly, Creative Cloud, and more importantly, groundbreaking new Foundry workflows and technologies. What you'll do * Own architecture for strategic M&E accounts: define target architectures for high-scale asset generation (key art, AV promos, trailers/teasers, localizations, episodic marketing), set go/no-go criteria, and chair C-suite design reviews. * Codify reference patterns: creative workflow blueprints for prompt/evaluation pipelines, variant generation at scale, approvals, and cost/performance guardrails - including end-to-end propagation of content and distribution. * Unblock the hardest problems: lead spikes for brand/style constraints, visual fidelity, latency/throughput for campaign bursts, multilingual quality, and watermarking/attribution. * Integrate the stack: design integrations across Creative Cloud apps (e.g., Photoshop, Premiere Pro, After Effects, Substance 3D, Frame.io), Firefly APIs/Services, Workfront, and enterprise DAM/MAM; ensure a single source of truth from presales to delivery. * Partner ecosystem: co-create blueprints with customers; validate partner delivery against Firefly Foundry standards. * Executive storytelling: run C-suite workshops, publish POVs on content authenticity and responsible GenAI, and keynote customer forums and industry events. * Value & outcomes: translate creative and business priorities into measurable ROI/TCO and success metrics; influence expansions. What you'll bring Must-have * 12+ years architecting and shipping large-scale platforms or content/ML systems; 3+ years leading enterprise GenAI/AI programs. * Deep understanding of M&E production and marketing workflows (campaign bursts, trailer/versioning, localization, approvals, deliverables). * Proficiency in GenAI solution patterns: prompt design & evaluation, guardrails, observability/measurement, vectorized retrieval or style constraints where relevant, and cost governance. * Hands-on with at least one major cloud, Python/TypeScript, and modern data/AI tooling; ability to read code and guide design trade-offs. * Executive presence with studio leadership; exceptional written artifacts (1-pagers, decision records, reference designs). * Track record leading cross-functional pods (Solutions Architects, Forward Deployed Engineers, Product, Security/Privacy, Legal) from pilot to production. Nice-to-have * Background in broadcast/OTT, sports, gaming, or live events; familiarity with post-production pipelines and marketing tech stacks. * Prior Field CTO/Field Engineering leadership or consulting partner experience. * Expansions driven by reference patterns, and executive satisfaction (C-suite CSAT). Collaboration Partner daily with Firefly Foundry Engagement Managers, Solutions Architecture, Forward Deployed Engineering and Scientist, Product (Firefly/Express/Photoshop/Premiere/After Effects/Frame.io), Customer Success, Security/Privacy/Legal, and Partner/Alliances teams. Work setup * Travel: ~25% to ~40% for exec workshops, studio/post visits, and key industry events. * Hybrid/Remote: flexible. #FireflyGenAI Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $182,900 -- $334,500 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

We are now looking for a Senior Power Architecture and Optimization Engineer! NVIDIA prides ourselves in having energy efficient products. We believe that continuing to maintain our products' energy efficiency compared to competition is key to our continued success. Our team is responsible for analyzing fullchip and unit-level power data, and driving ASIC teams to improve their units' power efficiency; and is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient. Key responsibilities include developing techniques to model, analyze, and reduce power consumption of NVIDIA GPUs. As a member of this team, you will collaborate with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to study and implement power analysis and reduction techniques for NVIDIA's next generation GPUs and Tegra SOCs. Your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements. What You'll Be Doing: Use internally developed tools and industry standard pre-silicon gate-level and RTL power analysis tools, to help improve product power efficiency. Develop and share best practices for performing pre-silicon power analysis. Perform comparative power analysis, to spot trends and anomalies, that warrant more scrutiny. Interact with architects and RTL designers to help them interpret their power data and identify power bugs; drive them to implement fixes. Select and run a wide variety of workloads for power analysis. Prototype a new architectural feature in Verilog and analyze power. Automate flows, define new flows to fast-track Power anomaly detection. Use AI to come up with Power optimization solutions. What We Need To See: MS (or equivalent experience) with 3+ years of experience or PhD in related fields. Strong understanding of concepts of energy consumption, estimation, data movement and low power design. Familiarity with Verilog and ASIC design principles, including knowledge of Power Artist, PTPX (Prime Power RTL, RTL Architect). Good verbal/written English and interpersonal skills; much collaboration with design teams is expected. Strong coding/automation skills, preferably in Python, Perl, and C++. Desire to bring data-driven decision-making and analytics to improve our products. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 14, 2025.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.

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. NVIDIA's 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 - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement. In this position, you'll be responsible for developing and enhancing various features in the GPU architecture. What you will be doing: Contribute to advancing GPU Architecture Simulators, GPU testing infrastructure and metrics. Understand and model in C++ and python, features for future GPU graphics and parallel processing architectures. Develop test plans and testing infrastructure. Debug tests on architecture simulators. Develop tools to validate performance models and verify functional models. What we need to see: Pursuing or recently completed an MS or PhD (or equivalent experience) in CS, EE, math or related discipline. Strong programming ability in C, C++, and Python. Deep knowledge of computer architecture and parallel programming. Ways to stand out from the crowd: Experience in machine learning/deep learning and/or graphics algorithms, and/or signal processing. Prior architecture experience. Programming in CUDA and/or DX and Vulkan. 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! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 9, 2025.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.

We are now looking for a Senior Deep Learning Inference Performance Architect! NVIDIA is seeking a Senior Performance Architect - a creative engineer who loves to squeeze out every cycle of performance from deep learning software. The Inference Architecture team does groundbreaking hardware-software co-design work that focuses on accelerating AI Inference workloads. In this role, you will write performance optimized low level code on today's GPUs, evaluate and improve state-of-the-art performance techniques in production Large Language Model deployments, and help guide our future GPU architecture decisions. If you are someone who enjoys digging deep into GPU architecture details, are passionate about AI, and know where every cycle goes when you write highly tuned software, this role may be a great fit for you. What you'll be doing: * Develop innovative GPU and system architectures to extend the state of the art in AI Inference performance and efficiency * Model, analyze and prototype key deep learning algorithms and applications * Understand and analyze the interplay of hardware and software architectures on future algorithms and applications * Write efficient software for AI Inference, including CUDA kernels, framework level code, and application level code * Collaborate across the company to guide the direction of AI, working with software, research and product teams What we need to see: * A MS or PhD in a relevant discipline (CS, EE, Math) or equivalent experience, with 5+ years or relevant experience * Strong mathematical foundation in machine learning and deep learning * Expert programming skills in C, C++, and Python * Familiarity with GPU computing (CUDA or similar) and HPC (MPI, OpenMP) * Strong knowledge and coursework in computer architecture Ways to stand out from the crowd: * Background with systems-level performance modeling, profiling, and analysis * Experience in characterizing and modeling system-level performance, executing comparison studies, and documenting and publishing results * Experience in optimizing AI Inference workloads with CUDA kernel development NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our Inference Performance Architecture team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 1, 2025. 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.

We are now seeking a Senior Resiliency and Safety Architect! NVIDIA is a learning machine that constantly evolves by seeking exciting opportunities that matter to the world, and that only we can solve. We attract the world's best people, so we can achieve our highest aim: building a company that lets us do our life's work, at the highest level of our craft. NVIDIA is looking for a Resiliency and Safety Architect to support the development of GPU (graphical processing units) and Tegra SoC hardware and software resiliency and safety features. In this role, you will be a key member of a team of innovators, challenging the status quo and pushing beyond boundaries. You will have the opportunity to impact the industry's leading GPUs and SoCs impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. What you'll be doing: * Collaborate with the Software and Hardware teams to architect new safety and resiliency features and guide future development. * Optimize hardware & software features to improve system robustness, performance, and security. * Model and analyze RAS metrics like Failures in Time and Availability; and Safety metrics like Diagnostic Coverage and PMHF * Run simulations to analyze Architectural Vulnerability Factor and Liveness of on-die memory * Develop diagnostics software components for Resiliency and Safety to run on NVIDIA GPUs. * Participate in testing new and existing resiliency and safety hardware and software features. * Work on compliance of products with functional safety standards (ISO 26262 and ASPICE (Automotive SPICE)). This includes defining requirements, architecture, and design with end-to-end traceability, performing safety analyses - FMEA/DFA/FTA and ensuring compliance of software to MISRA and Cert-C standards. What we need to see: * Master's or PhD degree in Computer Science, Computer Engineering, Electrical Engineering or closely related degree or equivalent experience. * At least 5+ years of relevant experience. * Familiarity with computer system architecture, microprocessors, and microcontroller fundamentals (caches, buses, direct memory access, etc.). * Proficiency in C/C++. * Scripting and automation with Python or similar. * Understanding of the software development process, from requirements to testing closure and maintenance. * Experience with resiliency and/or functional safety. * Excellent interpersonal skills and ability to collaborate with on-site and remote teams. * Strong debugging and analytical skills. * Be self-driven and results oriented. Ways to stand out from the crowd: * Familiarity with general HW concepts, Verilog RTL coding and simulations/debug, GPU and SOC Architectures, and Machine Learning/Deep Learning concepts * Programming with CUDA * Experience in embedded software development. NVIDIA's invention of the GPU 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 - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company". Do you love the challenge of crafting the highest-performance silicon possible? If so, we want to hear from you! Come, join our Accelerated and Resilient Compute Systems team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 29, 2025. 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.

We are now seeking a Senior Deep Learning Performance Architect! NVIDIA is looking for outstanding Performance Architects with a background in performance analysis, performance modeling, and AI/deep learning to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications. What you'll be doing: * Develop innovative architectures to extend the state of the art in deep learning performance and efficiency * Analyze performance, cost and power trade-offs by developing analytical models, simulators and test suites * Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications * Develop, analyze, and harness groundbreaking Deep Learning frameworks, libraries, and compilers * Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW What we need to see: * MS or PhD in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience * 6+ years of meaningful work experience * Strong background in GPU or Deep Learning ASIC architecture for training and/or inference * Experience with performance modeling, architecture simulation, profiling, and analysis * Solid foundation in machine learning and deep learning * Strong programming skills in Python, C, C++ Ways to stand out from the crowd: * Background with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, JAX, TensorRT) * Experience with relevant libraries, compilers, and languages - CUDNN, CUBLAS, CUTLASS, MLIR, Triton, CUDA, OpenCL * Experience with the architecture of or workload analysis on other DL accelerators * Demonstration of self-motivation, with a knack for critical thinking and thinking outside the box Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. NVIDIA's GPUs run AI algorithms, simulating human intelligence, and act as the brains of computers, robots and self-driving cars that can perceive and understand the world. Increasingly known as "the AI computing company", NVIDIA wants you! Come, join our Deep Learning Architecture team, where you can help build real-time, efficient computing platforms driving our success in this exciting and rapidly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 28, 2025. 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.

We are now looking for a Senior Deep Learning Performance Architect! NVIDIA is seeking extraordinary architects to develop processor and system architectures that accelerate machine learning, data analytics and high-performance computing applications. This position offers the chance to create a meaningful impact in a dynamic, technology-focused company. What you will be doing: * As a member of our deep learning architecture team, you will craft high performance energy efficient system and processor architectures to extend the state of the art in deep learning. * Prototype key deep learning and data analytics algorithms and applications. * Analyze trade-offs in performance, cost and power developing analytical models, simulators and test suites. * Analyze architecture performance and/or energy efficiency considering deep learning workloads, modeling and prototyping. * Collaborate across the company to guide the direction of machine learning, working with software, research and product teams. What we need to see: * Master's or PhD in Computer Science, Electrical Engineering or Computer Engineering, or equivalent experience. * 4+ years of relevant work or research experience. * A strong foundation in machine learning and deep learning fundamentals to complement your expertise in computer architecture. * A strong background in high performance power efficient designs, energy efficient high performance computing, performance analysis and profiling to identify performance bottlenecks. * Fluency in programming languages such as Python, C, C++. * Experience and familiarity with GPU computing and parallel programming models. * You have firsthand work experience with analytical performance modeling, profiling, and analysis. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Today, NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as "the AI computing company." 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. Are you creative and seeking new challenges? If so, we want to hear from you! Come, join our DL Architecture team and help build the real-time, cost-effective AI computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 20, 2025. 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.

We are now looking for a Senior Deep Learning Performance Architect! NVIDIA is seeking outstanding Performance Analysis Architects with a background in performance and energy modeling, architecture simulation, and profiling to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications. What you'll be doing: * Develop innovative architectures to extend the state of the art in deep learning performance and efficiency * Prototype key deep learning algorithms and applications * Analyze performance, cost and energy trade-offs by developing analytical models, simulators and test suites * Characterize power and performance on silicon parts and translate the learnings to architecture features and simulators. * Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications * Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW What we need to see: * A Masters Degree (or equivalent experience) and 6+ years of meaningful relevant experience or PhD and 3+ years of experience in Computer Science, Electrical Engineering, Computer Engineering, or related field * Strong foundation in Deep Learning model architectures and performance tradeoffs * Experience with performance and energy modeling, power architecture, architecture simulation, profiling, analysis, and visualizations * Strong programming skills in Python, C, C++ * Experience with the architecture of, or workload analysis on, DL accelerators Ways to stand out from the crowd: * Background with GPU Computing and parallel programming models such as CUDA * Experience with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, JAX) Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU-accelerated Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. NVIDIA's GPUs run AI algorithms, simulating human intelligence, and act as the brains of computers, robots and self-driving cars that can perceive and understand the world. Increasingly known as "the AI computing company", and widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. Are you a creative, motivated deep learning architect with a passion for performance and always up for a challenge? If so, we want to hear from you! Come, join our Deep Learning Architecture team, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 29, 2025. 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.

We are now looking for a Senior Deep Learning Performance Architect! NVIDIA is seeking outstanding Performance Analysis Architects with a background in performance and energy modeling, architecture simulation, and profiling to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications. What you'll be doing: Develop innovative architectures to extend the state of the art in deep learning performance and efficiency Prototype key deep learning algorithms and applications Analyze performance, cost and energy trade-offs by developing analytical models, simulators and test suites Characterize power and performance on silicon parts and translate the learnings to architecture features and simulators Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW What we need to see: A Masters Degree (or equivalent experience) and 6+ years of meaningful relevant experience or PhD and 3+ years of experience in Computer Science, Electrical Engineering, Computer Engineering, or related field Strong foundation in Deep Learning model architectures and workload analysis with emphasis on LLM decode architectures and performance tradeoffs Experience with performance and energy modeling, power architecture, architecture simulation, profiling, analysis, and visualizations Strong programming skills in Python, C++ Ways to stand out from the crowd: Background with GPU Computing and parallel programming models such as CUDA Experience with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, JAX) Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU-accelerated Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. NVIDIA's GPUs run AI algorithms, simulating human intelligence, and act as the brains of computers, robots and self-driving cars that can perceive and understand the world. Increasingly known as “the AI computing company”, and widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. Are you a creative, motivated deep learning architect with a passion for performance and always up for a challenge? If so, we want to hear from you! Come, join our Deep Learning Architecture team, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 29, 2025.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.

We are now looking for a Senior Hardware SoC Architect! Do you want to be a part of Artificial Intelligence Revolution? Would you like to work with world-class systems architects and deep learning experts to define the next generation SoC? NVIDIA is developing processor and system architectures that are at the forefront of accelerating machine learning, automotive and high-performance computing applications. We are building the most advanced SoC's in the world for these applications and are looking for SoC architects to join our effort. In this position, you will have the chance to define future aspects of our architectures that bring together NVIDIA GPUs, custom processors and accelerators into a single chip. Your role will be cross-disciplinary, working with software, ASIC design, verification, physical design, VLSI and platform teams. Our SoC architects excel at pushing the state of the art, while making the best engineering trade-offs. The NVIDIA SoC's Architecture team is seeking a high-quality architect for our Clock and Reset Architecture Team. This position requires an interest in clocks, resets and power management for SOCs. It will also require a strong background in System C-modeling and scripting and an interest in improving methodologies and automations for improving team efficiency. What you'll be doing: In this position, you will have the opportunity to work with a diverse set of teams to define clock and reset architecture, based on IP and product requirements. This involves working with other IP architects, designers, verification, Physical Design, Software, DFT, Security, Automotive Safety and others. You will be required to capture these requirements in various architecture documents clearly and drive their reviews. You will be required to develop and improve architectural C-models and support the teams that use them. You will also be required to review both upstream and downstream specifications and verification plans. Additionally, you would be involved in implementing methodologies that would help improve the efficiency of the team and the quality of our outputs. What we need to see: MS in EE/CE or equivalent experience 3+ years industry experience Deep knowledge of clock generation and distribution First hand work experience with reset generation and distribution Good knowledge of ASIC design/verification/implementation flows Excellent written, verbal and negotiation skills, to work with others and build consensus Expert analytical and independent problem-solving skills Strong scripting skills in languages such as Perl or Python Strong C++/SystemC experience Ways to stand out from the crowd: Experience with Clock and Reset Generation or Architectural C-Models Detailed knowledge at least one of: 1) PLLs, DLLs, etc, 2) clock-related signal integrity effects, or 3) platform power and reset sequencing Automotive Functional Safety working experience with ISO26262 standard 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, autonomous and love a challenge, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 25, 2025.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.

We are looking for a Senior GPU PCIe and Boot architect. NVIDIA is seeking outstanding engineers to design the architecture and infrastructure for boot, PCIe/CXL enumeration, and capability discovery. This position offers the opportunity to have a real impact in a dynamic, technology-focused company affecting product lines ranging from consumer graphics, self-driving cars, and artificial intelligence. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing! What you'll be doing: As a member of the architecture team, you will be responsible for understanding how the GPU sub-system modules interoperate and interact with overall system You will architect and plan features in concert with software, hardware, and verification teams across the globe to implement the next iteration of GPUs Create functional and performance models, often in C++, along with test plans to validate the features you design Actively support post-silicon validation activities Constantly learning and growing! What we need to see: BS or MS in compute architecture, Computer Science, or Electrical Engineering (or related degree) or equivalent experience 8+ years of experience crafting production code in C or C++ Course work or industry experience in Computer Architecture, Operation systems, and/or system architecture Ways to stand out from the crowd: Knowledge of Advanced interconnects (PCIe, AXI, nvlink, or similar) Experience with scripting languages such as Perl Understanding of modern security constructs and/or encryption Knowledge of RiscV architecture and microcode development NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous? Do you love the challenge of creating the highest performance chips in the industry? If so, we want to hear from you! #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 24, 2025.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. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. What You'll Be Doing: The software architecture group at NVIDIA has openings for a Deep Learning Communication Architect. We scale the DNN models and training/inference frameworks to systems with hundreds of thousands of nodes. Optimizing communication performance: Identify and eliminate bottlenecks in data transfer and synchronization during distributed deep learning training and inference. Designing efficient communication protocols: Develop and implement communication algorithms and protocols tailored for deep learning workloads, minimizing communication overhead and latency. Hardware and software co-craft: Collaborate with hardware and software teams to craft systems that effectively apply high-speed interconnects (e.g., NVLink, InfiniBand, SPC-X) and communication libraries (e.g., MPI, NCCL, UCX, UCC, NVSHMEM). Exploring innovative communication technologies: Research and evaluate new communication technologies and techniques to enhance the performance and scalability of deep learning systems. Developing and implementing solutions: Build proofs-of-concept, conduct experiments, and perform quantitative modeling to validate and deploy new communication strategies. What We Need to See: A Ph.D., Masters, or BS in Computer Science (CS), Electrical Engineering (EE), Computer Science and Electrical Engineering (CSEE), or a closely related field or equivalent experience. 6+ years of experience in Building DNNs, Scaling of DNNs, Parallelism of DNN frameworks, or deep learning training and inference workloads. Experience in evaluating, analyzing, and optimizing LLM training and inference performance of state-of-the-art models on cutting-edge hardware. Deep understanding of parallelism techniques, including Data Parallelism, Pipeline Parallelism, Tensor Parallelism, Expert Parallelism, and FSDP. Understanding of the emerging serving architectures like Disaggregated Serving and inference servers like Dynamo and Triton Proficiency in developing code for one or more deep neural network (DNN) training and Inference frameworks, such as PyTorch, TensorRT-LLM, vLLM, SGLang. Strong programming skills in C++ and Python. Familiarity with GPU computing, including CUDA and OpenCL, and familiarity with InfiniBand and RoCE networks. CUDA and OpenCL, and familiarity with InfiniBand and RoCE networks. Ways to Stand Out from the Crowd: Prior contributions to one or more DNN training and Inference frameworks as part of your previous work experience. Deep understanding and contributions to the scaling of LLMs on large-scale systems. With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 13, 2025.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.

We are now seeking a Senior Datacenter Resiliency (RAS) Architect! NVIDIA is a learning machine that constantly evolves by seeking exciting opportunities that matter to the world, and that only we can solve. We attract the world's best people, so we can achieve our highest aim: building a company that lets us do our life's work, at the highest level of our craft. NVIDIA is seeking a Resiliency Architect to support the development and validation of GPU (graphical processing units) hardware and software resiliency features. In this role, you will be a key member of a team of innovators, challenging the status quo and pushing beyond boundaries. You will have the opportunity to impact the industry's leading Datacenter GPUs and SOCs powering product lines for the growing field of artificial intelligence (AI) and high-performance computing (HPC). What you'll be doing: Architect hardware and software Resiliency features to improve system Reliability, Availability, Serviceability (RAS), and performance in the Datacenter. Model and analyze RAS metrics like Failures in Time for permanent and transient errors, and Availability from GPU to Rack to Datacenter. Use models to identify gaps and drive RAS improvements. Collaborate with architects, unit designers and software engineers to ensure alignment of verification requirements. Develop and implement comprehensive architecture verification testplans for resiliency features Execute Architecture Testplan by developing test content, working with Software and Architecture teams to enable, run, and debug tests on Architecture models. Support test debug on RTL, emulation, and silicon. Run simulations to analyze Architectural Vulnerability Factor and Liveness of on-die memory, flip-flops, and latches. Develop CUDA software diagnostics kernels for to run on clusters of NVIDIA GPUs and identify potential hardware issues. Develop and automate fault models to simulate various fault types (e.g., transient faults, stuck-at faults) in gate-level netlist, RTL, architectural model, silicon and other environments. What we need to see: Master's or PhD degree in Computer Engineering, Electrical Engineering or closely related degree or equivalent experience. At least 5+ years of relevant experience. Familiarity with GPU and Networking Architectures, Computer Architecture basics (including caches, coherence, buses, direct memory access, etc.); Machine Learning/Deep Learning concepts. Strong knowledge and industry expertise in either GPU hardware architecture or RAS features or both. Proficiency in developing Architecture models. Scripting and automation with Python or similar. Proficiency in C/C++. Excellent interpersonal skills and ability to collaborate with on-site and remote teams. Strong debugging and analytical skills. Be self-driven and results oriented. Ways to stand out from the crowd: Experience with resiliency and datacenter RAS. Proficiency in Verilog/System Verilog RTL simulations and debug. Ability to set up test benches and integrate various components. Programming with CUDA NVIDIA's invention of the GPU 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 - with the GPU acting as the brain of AI factories, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. Do you love the challenge of crafting the highest-performance silicon possible? If so, we want to hear from you! Come, join our Accelerated and Resilient Compute Systems team and help build the resilient, highly available, cost-effective computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 29, 2025.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.

We are now seeking a Senior Resiliency and Safety Architect! NVIDIA is a learning machine that constantly evolves by seeking exciting opportunities that matter to the world, and that only we can solve. We attract the world's best people, so we can achieve our highest aim: building a company that lets us do our life's work, at the highest level of our craft. NVIDIA is looking for a Resiliency and Safety Architect to support the development of GPU (graphical processing units) and Tegra SoC hardware and software resiliency and safety features. In this role, you will be a key member of a team of innovators, challenging the status quo and pushing beyond boundaries. You will have the opportunity to impact the industry's leading GPUs and SoCs impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. What you'll be doing: Collaborate with the Software and Hardware teams to architect new safety and resiliency features and guide future development. Optimize hardware & software features to improve system robustness, performance, and security. Model and analyze RAS metrics like Failures in Time and Availability; and Safety metrics like Diagnostic Coverage and PMHF Run simulations to analyze Architectural Vulnerability Factor and Liveness of on-die memory Develop diagnostics software components for Resiliency and Safety to run on NVIDIA GPUs. Participate in testing new and existing resiliency and safety hardware and software features. Work on compliance of products with functional safety standards (ISO 26262 and ASPICE (Automotive SPICE)). This includes defining requirements, architecture, and design with end-to-end traceability, performing safety analyses - FMEA/DFA/FTA and ensuring compliance of software to MISRA and Cert-C standards. What we need to see: Master's or PhD degree in Computer Science, Computer Engineering, Electrical Engineering or closely related degree or equivalent experience. At least 5+ years of relevant experience. Familiarity with computer system architecture, microprocessors, and microcontroller fundamentals (caches, buses, direct memory access, etc.). Proficiency in C/C++. Scripting and automation with Python or similar. Understanding of the software development process, from requirements to testing closure and maintenance. Experience with resiliency and/or functional safety. Excellent interpersonal skills and ability to collaborate with on-site and remote teams. Strong debugging and analytical skills. Be self-driven and results oriented. Ways to stand out from the crowd: Familiarity with general HW concepts, Verilog RTL coding and simulations/debug, GPU and SOC Architectures, and Machine Learning/Deep Learning concepts Programming with CUDA Experience in embedded software development. NVIDIA's invention of the GPU 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 - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. Do you love the challenge of crafting the highest-performance silicon possible? If so, we want to hear from you! Come, join our Accelerated and Resilient Compute Systems team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 29, 2025.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 is seeking an exceptional Power Architect to help us build power efficient and performance leading SOC's. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars, to the growing field of artificial intelligence. We have built a team of extraordinary people, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. What you'll be doing: Optimizing power and performance across technical, product, and usage constraints for Nvidia SoCs in driving, robotics, multimedia, edge computing, and other embedded applications. Working with teams throughout the company (RTL, PD, Circuit, SI, Thermal, SW, Platform, Operations, Marketing, etc...) to deliver outstanding power solutions. Guiding HW Design teams in evaluating and improving power efficiency of their implementations. Creating power models of key SoC units to evaluate architectural tradeoffs in DL/ML (training/inference), CPU, GPU, and multimedia workloads. What we need to see: Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience) 5+ years of additional relevant work experience focused on computer architecture and power. Understanding of the many factors influencing power efficiency at chip, system, and product levels. Strong interpersonal and teamwork skills. A drive to continuously learn and expand architectural breadth and depth. Ways to stand out from the crowd: Experience with modeling and optimization of power and/or performance. Prior experience in power architecture and design 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, autonomous and love a challenge, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 23, 2025.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.