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We are now looking for an AI Computing Software Development Intern! NVIDIA invites skilled interns in artificial intelligence computing solutions to join our AI Compute team in Taiwan. This is your chance to work on one of the globe’s most advanced AI systems. You will help develop technologies for Large Language Models, Recommender Systems, and Generative AI, and push the limits of GPU performance for AI inference. What you will be doing: As an intern, you’ll focus on one of two specialized tracks: TensorRT-LLM – Inference Optimization (Python / PyTorch) or TensorRT Compiler – Graph Optimization (C++). For TensorRT-LLM: Build and enhance high‑performance LLM inference pipelines on key LLM models. Analyze and optimize LLM model execution, scalability, and memory use. Collaborate across framework and research teams to deliver efficient multi‑GPU model serving for Agentic AI workloads. For TensorRT Compiler: Work on the TensorRT compiler backend to improve graph transformations and code generation for NVIDIA GPUs. Develop compiler optimization passes, refine operator fusion, and optimize memory usage. Collaborate with CUDA and hardware architecture teams to accelerate Deep Learning inference computations. What we need to see: Pursuing a B.S., M.S., Ph.D., or equivalent in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or related fields. Excellent problem‑solving ability, curiosity for modern AI systems, and passion for GPU computing and deep learning software performance. TensorRT‑LLM: Strong Python programming and experience with PyTorch; solid understanding of underlying LLM inference operations and GPU acceleration. TensorRT Compiler: Proficient in C++, with experience in compiler or performance optimization. Join us and play a part in building the AI computing platforms that drive innovation across industries worldwide. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role. NVIDIA is seeking phenomenal engineers to improve our verification methodology, so we can validate the world’s largest design efficiently. 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 and the growing field of 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. We are now looking for a DFT Engineer in our Taiwan, Taipei/Hsinchu Office! What you’ll be doing: Develop in-house software to enable advanced testing on NVIDIA hardware. Create automation flows to support ATPG and DFT requirements. Optimize software performance and drive quality improvements. Collaborate closely with Design, DFT, and Test Engineering teams to ensure test quality, improve efficiency, and support silicon bring-up. What we need to see: Master’s degree in Electrical Engineering, Computer Engineering, or Computer Science. Strong programming skills in Python and C++ (required). Experience with TCL, Perl, Java, or other programming languages is a plus. Strong communication skills with the ability to work effectively in a team environment. Fluency in English (spoken and written). Ways to stand out from the crowd: Knowledge of Design for Testability (DFT) concepts, including Scan, ATPG, and JTAG.

By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role. NVIDIA is seeking phenomenal engineers to improve our verification methodology, so we can validate the world’s largest design efficiently. 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 and the growing field of 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. We are now looking for a DFT Engineer in our Taiwan, Taipei/Hsinchu Office! What you’ll be doing: Develop in-house software to enable advanced testing on NVIDIA hardware. Create automation flows to support ATPG and DFT requirements. Optimize software performance and drive quality improvements. Collaborate closely with Design, DFT, and Test Engineering teams to ensure test quality, improve efficiency, and support silicon bring-up. What we need to see: Master’s degree in Electrical Engineering, Computer Engineering, or Computer Science. Strong programming skills in Python and C++ (required). Experience with TCL, Perl, Java, or other programming languages is a plus. Strong communication skills with the ability to work effectively in a team environment. Fluency in English (spoken and written). Ways to stand out from the crowd: Knowledge of Design for Testability (DFT) concepts, including Scan, ATPG, and JTAG.

We are looking for a talented Senior System Software Engineer to help build NVIDIA Halos, our full-stack safety platform for physical AI: autonomous vehicles, humanoids, industrial robots, and intelligent machines that sense, decide, and act in the real world. This role sits at the intersection of embedded systems, rich operating systems, safety, security, virtualization, and accelerated computing. If you have a good understanding of System Software development on Real Time OS (RTOS), ARM architecture, Virtualization, strong C and/or Ada/SPARK programming skills, and experience with formal methods, we want to hear from you! We are a leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing, and autonomous vehicle and robotics safety platforms. NVIDIA gives automakers, tier-1 suppliers, automotive research institutions, and startups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for autonomous vehicles. Our unified computing architecture makes it possible to train deep neural networks in the data center on the NVIDIA DGX™, and then seamlessly run them on NVIDIA's Halos platform inside the vehicle. Leading vehicle manufacturers, tier 1 suppliers, mapping and simulation companies, software and sensor providers, and startups around the world are developing on the NVIDIA Halos® platform to deliver the best solutions for the new world of mobility. As a System Software Engineer, you will get an opportunity to work on high-performance NVIDIA edge AI platforms running complex mixed-criticality software stacks across QNX, Linux, hypervisors, safety partitions, accelerators, and real-time AI workloads, and work alongside industry experts in diverse teams and projects. What you’ll be doing: Design, develop and debug system software for NVIDIA Halos OS across QNX, Linux, and hypervisor-based environments. Design and develop BSP, boot, driver, device-management, diagnostics, and platform software for NVIDIA SoCs and edge AI platforms. Design & develop I/O Virtualization solutions for mixed-criticality systems Develop safe and secure software compliant with ISO 26262 and ISO 21434 standards. Bring up and optimize next-generation NVIDIA platforms, working closely with ASIC, firmware, OS, safety, security, and platform teams. Use Formal Methods to architect and develop high integrity software Use GenAI and AI-assisted engineering tools to accelerate debugging, test development, code review, documentation, requirements analysis, and workflow automation. Design debugging, tracing, logging, and performance-analysis solutions that improve developer experience Handle complex issues requiring interactions between components partitioned across the large software stack Mentor junior engineers What we need to see: Bachelors/Masters or equivalent experience in Computer Science 5+ years of experience in System Software architecture and development for real time embedded systems Strong understanding of computer architecture and operating system fundamentals Experience in designing and developing solutions for complex system problems. Strong C and/or Ada/SPARK programming and debugging skills Practical experience using AI-assisted development tools for coding, debugging, testing, documentation, or workflow automation. Hands-on experience with debugging tools, performance analysis and system analyzer tools A dedicated, team and results oriented, self-motivated contributor with excellent analytical and interpersonal skills Ways to stand out from the crowd: In-depth knowledge of embedded systems and real time operating systems, like QNX and RT Linux skills Good understanding of ARM architecture and low level software development for ARM v8 based SOCs Prior hands-on experience in Ada/SPARK programming (including specification and formal verification) and TLA+ formal verification modeling Experience performing architectural safety analysis (FMEA/DFA) and security analysis (Threat modeling) Background in software development in compliance to ISO 26262 standard 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 www.nvidiabenefits.com/ We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are looking for a talented Senior System Software Engineer to help build NVIDIA Halos, our full-stack safety critical platform for physical AI: autonomous vehicles, humanoids, industrial robots, and intelligent machines that sense, decide, and act in the real world. This role is equally grounded in ISO 26262 functional safety engineering and embedded systems, rich operating systems, virtualization, accelerated computing. If you have a good understanding of System Software development on Real Time OS (RTOS), ARM architecture, Virtualization, and experience with ISO 26262 safety lifecycle, we want to hear from you! We are a leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing, and autonomous vehicle and robotics safety platforms. NVIDIA gives automakers, tier-1 suppliers, automotive research institutions, and startups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for autonomous vehicles. Our unified computing architecture makes it possible to train deep neural networks in the data center on the NVIDIA DGX™, and then seamlessly run them on NVIDIA's Halos platform inside the vehicle. Leading vehicle manufacturers, tier 1 suppliers, mapping and simulation companies, software and sensor providers, and startups around the world are developing on the NVIDIA Halos® platform to deliver the best solutions for the new world of mobility. As a System Software Engineer, you will get an opportunity to work on high-performance NVIDIA edge AI platforms running complex mixed-criticality software stacks across QNX, Linux, hypervisors, safety partitions, accelerators, and real-time AI workloads, and work alongside industry experts in diverse teams and projects. What you’ll be doing: Own and drive the ISO 26262 functional safety lifecycle for NVIDIA Halos platform components from safety plan to safety analysis for mixed-criticality software stacks. Architect, design and develop system software for NVIDIA Halos OS across QNX, Linux, and hypervisor-based environments. Use GenAI and AI-assisted engineering tools to accelerate debugging, test development, code review, documentation, requirements analysis, and workflow automation. Handle complex issues requiring interactions between components partitioned across the large software stack Mentor junior engineers What we need to see: Bachelors/Masters or equivalent experience in Computer Science 8+ years of experience in System Software architecture and development for real time embedded systems 4+ years of direct, hands-on ISO 26262 functional safety engineering experience. Strong understanding of computer architecture and operating system fundamentals Experience in designing and developing solutions for complex system problems. Practical experience using AI-assisted software development lifecycle. A dedicated, team and results oriented, self-motivated contributor with excellent analytical and interpersonal skills Ways to stand out from the crowd: Demonstrated experience owning ISO 26262 safety lifecycle activities: FMEA/DFA, CPA, safety case development, and working with independent assessors. In-depth knowledge of embedded systems and real time operating systems, like QNX and RT Linux Good understanding of ARM architecture and low level software development for ARM v8 based SOCs Prior hands-on experience in Ada/SPARK programming (including specification and formal verification) and TLA+ formal verification modeling 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 www.nvidiabenefits.com/ We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are seeking a passionate QA Engineer to join our FW testing team. This position will be part of our growing team, helping NVIDIA products meet industry-leading benchmarks for efficiency and quality. As a Firmware QA Engineer, you will be immersed in the latest advancements and actively contribute to developing world-class products. Your efforts will directly impact the performance and quality of our offerings, ensuring they consistently meet industry-leading standards. We are looking for ideal candidates who will actively test industry-leading features in the FW sector, quickly learn new features, conduct both manual and automated testing, and contribute to the development of automation systems. What you'll be doing: Review arch design and requirements documents for new features introduced in the Nvlink program Join the effort of QA shift left towards simulation for NVL7 generation Design, develop, and perform tests for the new features, as part of FW GA or update releases. Automate newly added tests in the existing automation framework, and add new capabilities and features to the framework. Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, and raise if not fixed. Fully collaborate with different external teams like : :product marketing, R&D, and verification. Define and build setups topologies for appropriate product coverage. What we need to see: Practical / BSc in Computer Science or Electrical/Electronics Engineering. 0-3 years of proven experience Clear verbal and written communication, proficient in written and spoken English. Self-reliant individual, capable of planning and carrying out tasks within their assigned area. Personal: good interpersonal skills, quick learner, proactive, innovative, highly motivated, and committed. Ways to stand out from the crowd: Scripting skills and proven experience in Python or other programming languages Proven experience in QA - methodologies, and test design. Working in a fast-paced environment with multiple parallel running activities. Knowledge/experience in Networking protocols. Knowledge of Linux/Windows OS. 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! 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 seeking a passionate QA Engineer to join our FW testing team. This position will be part of our growing team, helping NVIDIA products meet industry-leading benchmarks for efficiency and quality. As a Firmware QA Engineer, you will be immersed in the latest advancements and actively contribute to developing world-class products. Your efforts will directly impact the performance and quality of our offerings, ensuring they consistently meet industry-leading standards. We are looking for ideal candidates who will actively test industry-leading features in the FW sector, quickly learn new features, conduct both manual and automated testing, and contribute to the development of automation systems. What you'll be doing: Review arch design and requirements documents for new features introduced in the Nvlink program Join the effort of QA shift left towards simulation for NVL7 generation Design, develop, and perform tests for the new features, as part of FW GA or update releases. Automate newly added tests in the existing automation framework, and add new capabilities and features to the framework. Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, and raise if not fixed. Fully collaborate with different external teams like : :product marketing, R&D, and verification. Define and build setups topologies for appropriate product coverage. What we need to see: Practical / BSc in Computer Science or Electrical/Electronics Engineering. 0-3 years of proven experience Clear verbal and written communication, proficient in written and spoken English. Self-reliant individual, capable of planning and carrying out tasks within their assigned area. Personal: good interpersonal skills, quick learner, proactive, innovative, highly motivated, and committed. Ways to stand out from the crowd: Scripting skills and proven experience in Python or other programming languages Proven experience in QA - methodologies, and test design. Working in a fast-paced environment with multiple parallel running activities. Knowledge/experience in Networking protocols. Knowledge of Linux/Windows OS. 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! 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 redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we are tapping into the unlimited potential of AI to define the next era of computing. As an NVIDIAN, you will address challenges spanning architecture, silicon, firmware, software, and production — and excellent judgment matters as much as technical depth! Every major NVIDIA silicon product family—from the chips powering AI and datacentre systems to gaming, professional, embedded, and automotive platforms—passes through our productization work on its way to production. NVIDIA’s Silicon Co-Design Productization team works from pre-silicon strategy and feature development through bring-up, characterization, correlation, and optimization. Our charter spans power & performance modelling, bring up & tuning of power & and thermal controllers; and system-level optimization that ultimately shape how NVIDIA products are configured, binned, specified, and shipped. What you'll be doing: Drive silicon power productization from pre-silicon planning through bring-up and production, including test strategy, feature readiness, characterization, and optimization. Partner with architecture and design teams to identify improvements, validate features, and help translate them into production-ready solutions. Characterize and tune controller behavior across workloads, operating conditions, silicon variation, and product power and thermal limits. Build power and performance models and characterization methodologies that decide silicon binning, product specifications, productization decisions, and customer guidance. Use AI/ML and data-driven methods to analyse characterization & telemetry data, identify anomalies & trends; and accelerate debug across silicon, board, power delivery, firmware, and software. What we need to see: Bachelors/ Masters in Electronics Engineering, Electrical Engineering, or a related field, or equivalent experience. 3+ years of proven experience in silicon bring-up, characterization, validation, productization, or a related hardware field. Understanding of silicon power and performance, including process technology, voltage, frequency, workloads, and operating conditions. Experience with system-level hardware debugging and interactions across silicon, board hardware, firmware & software. Data analysis and problem-solving skills—you can turn measurements into hypotheses and design experiments to test them. Ways to stand out from the crowd: Experience with Windows/Linux systems, low-power states, power controllers, silicon power, device physics, or power delivery. Contributions that improved silicon bring-up, characterization coverage, pre/post-silicon correlation, debug efficiency, or productization methodology. Experience with power modelling, silicon binning, productization. Experience applying AI/ML to engineering workflows, such as debug assistants, characterization analytics, or automated anomaly and trend detection. Each new process node and architecture brings power challenges that simulation alone cannot answer. This team works where architecture, design, silicon, systems, firmware, and software meet—with the opportunity to influence both how new silicon is built and how it ultimately ships. If you want to get close to new silicon, use data and AI tools to solve problems across engineering boundaries, and help turn first silicon into products at scale, we'd like to hear from you. With competitive salaries, generous benefits package and an outstanding culture, we are broadly recognized as one of the technology world’s most desirable employers. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, or disability status. #LI-Hybrid