NVIDIA

An applied research team within NVIDIA’s Networking Systems & Software Architecture group is solving some of AI’s hardest infrastructure problems. The team builds systems-level software that moves data between GPUs, nodes, and storage at the speed modern AI demands—spanning low-level transport optimization, hardware-software co-design, and communication frameworks that plug directly into production AI stacks. The team's charter expands into emerging domains including quantum computing interconnects. This Principal Architect role leads the research agenda and architectural direction for how NVIDIA’s AI systems communicate at scale—across GPUs, DPUs, NICs, and heterogeneous storage. It requires someone who defines project scope from scratch, publishes original work, and translates research breakthroughs into production-grade software that ships industry-wide! What you will be doing: - Setting the long-term technical vision for distributed AI communication systems—GPU-to-GPU, GPU-to-storage, and cross-node data movement. - Conducting original research and prototyping next-generation networking solutions over RDMA, NVLink, and GPUDirect. - Driving hardware-software co-optimization with GPU, DPU, NIC, and network switch. Investigating fundamental bottlenecks in communication runtimes for large-scale AI workloads (KV cache transfer, disaggregated prefill/decode, model parallelism). - Integrating networking capabilities into AI serving stacks such as vLLM, SGLang, and TensorRT-LLM. - Publishing findings, representing NVIDIA in industry forums and standards bodies, and mentoring senior engineers across the organization. What we need to see: - 15+ years in systems software and/or networking with deep expertise in high-performance networking (InfiniBand, RoCE, RDMA, NVLink), communication libraries (e.g. NIXL, NCCL, UCX, MPI, NVSHMEM), and GPU accelerated systems, with track record of defining and delivering complex, cross-team technical initiatives from research concept to production. - MS, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or a related field. - Deep understanding of computer architecture, memory hierarchies, DMA engines, and OS-level networking. - Understanding of ML systems concepts—transformer architectures, KV cache mechanics, model parallelism, or distributed training and inference patterns. - Proficiency in programming languages such as C, C++, Rust and Python. Ways to stand out from the crowd: - Knowledge of ML inference frameworks (vLLM, SGLang, TensorRT-LLM) and their communication requirements. - CUDA programming and NVIDIA GPU architecture expertise. - Proved experience influencing product strategy and technical roadmap at a senior level. - Major open-source contributions. With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world. Our teams are composed of some of the most forward‑thinking and driven engineers in the industry, and we continue to grow rapidly. If you are a senior data engineer passionate about building large‑scale, high‑impact data platforms, we’d love 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 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until April 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Quantum Information Science presents an exciting opportunity to transform the high performance computing landscape! NVIDIA is at the forefront of innovation in accelerated computing, solving the world's most important problems with a unique approach. We are looking for a Senior Product Marketing Manager to join us as we pioneer the future of computing and drive groundbreaking quantum computing solutions across diverse industry verticals and scientific fields. In this role, you will play a pivotal part in advancing the state of quantum computing and driving the adoption of NVIDIA's innovative technologies into the quantum computing partner and customer ecosystem. NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Our goal is to craft an environment where you can do your life's best work. If you're creative, self-motivated, and autonomous, with a passion for groundbreaking technology, we want to hear from you! What You’ll Be Doing: - Engage with NVIDIA technical teams to identify key value propositions for positioning and promotion. - Drive go-to-market launches for NVIDIA's quantum computing products, spanning hardware and software offerings. - Craft compelling technical marketing content such as white papers, presentations, blogs, demos, and customer success stories to communicate the value of NVIDIA quantum computing technologies. - Develop and Implement innovative ways to promote NVIDIA to both internal and external audiences, catering to both technical and business perspectives. - Foster a researcher and developer community around NVIDIA's quantum products What We Need To See: - Bachelor's degree in Computer Science, Electrical Engineering, a related technical field, or equivalent experience. - 6+ years of work experience, with strong background with technical product marketing or product management. Data center marketing preferred. - Strong mix of communication skills- demonstrably comfortable in engaging with marketing, engineering and product management teams - Effective writing and presentation skills with a proven ability to articulate a value proposition to technical and non-technical audiences Ways To Stand Out From The Crowd: - Exposure to quantum computing - Familiarity and experience with NVIDIA technology - Prior experience in product management or development of software applications for High-Performance Computing, Quantum Computing, or a related field. - Out-of-the-box thinking and an innovative/creative streak to marketing. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until May 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

An applied research team within NVIDIA’s Networking Systems & Software Architecture group is solving some of AI’s hardest infrastructure problems. The team builds systems-level software that moves data between GPUs, nodes, and storage at the speed modern AI demands—spanning low-level transport optimization, hardware-software co-design, and communication frameworks that plug directly into production AI stacks. The team's charter expands into emerging domains including quantum computing interconnects. The Senior Architect role is to own modules and projects end-to-end—from scoping research questions to shipping production code. It calls for a recognized expert who drives technical decisions, pulls in ideas from research and industry, and regularly prototypes new approaches to prove a point. The work lives at the boundary of applied research and production engineering! What you will be doing: - Architecting and implementing high-performance communication and memory management libraries for distributed AI - Driving hardware-software co-optimization with GPU, DPU, NIC, and switch teams through GPUDirect RDMA, NVLink, and next-generation interconnects - Profiling and optimizing data movement across GPU memory, system DRAM, NVMe, and network fabrics - Integrating networking capabilities into AI serving stacks such as vLLM, SGLang, and TensorRT-LLM - Contributing to and maintaining open-source projects, mentoring engineers, conducting design reviews, and prototyping experimental technologies to evaluate their viability What we need to see: - 12+ years in systems software and/or networking with demonstrated ownership of complex projects. - MS, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or a related field. - Solid understanding of high-performance networking: InfiniBand, RoCE, RDMA, NVLink, GPUDirect. - Strong C/C++/Rust systems programming with comfort in performance profiling and low-level debugging. - Understanding of ML systems concepts—transformer architectures, KV cache mechanics, model parallelism, or distributed training and inference patterns. Ways to stand out from the crowd: - Knowledge of ML inference frameworks (vLLM, SGLang, TensorRT-LLM) and their communication requirements. - Knowledge of storage networking (NVMe-oF, GPUDirect Storage, S3). - Background of Reinforcement Learning systems. With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world. Our teams are composed of some of the most forward‑thinking and driven engineers in the industry, and we continue to grow rapidly. If you are a senior data engineer passionate about building large‑scale, high‑impact data platforms, we’d love 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 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until May 23, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a passionate AI research scientist with deep quantum computing expertise to path-find the future of fault-tolerant quantum systems powered by machine learning. Quantum computing is a strategic priority for NVIDIA, and our goal is to accelerate the entire ecosystem. As a Sr. Applied Research Scientist in Quantum Computing, you will architect and build AI solutions at the heart of fault-tolerant quantum computing—spanning quantum error correction, decoding, calibration, and beyond. You will research and develop open AI models, curated datasets, and rigorous benchmarks that advance the state of the art and empower the broader quantum community. Your research will help translate cutting-edge theory into practice by fine-tuning models for specific quantum error-correcting codes and hardware platforms, while collaborating with multi-functional teams across Product, Engineering, and Applied Research to integrate AI into next-generation Accelerated Quantum Supercomputers! Do you love developing new technology, enjoy working with collaborative people and teams around the world, and operating at the speed of light? If yes, we would love to hear from you! What you'll be doing: - Design and architect AI/ML models—including deep neural networks, graph neural networks, transformers, and reinforcement-learning agents—for quantum error correction, syndrome decoding, logical operation synthesis, and real-time calibration in fault-tolerant quantum systems. - Develop cutting-edge AI techniques for quantum computing that contribute to NVIDIA's open model efforts across the quantum ecosystem. - Help create high-quality, large-scale datasets for quantum error correction and quantum system characterization, including simulated and hardware-derived syndrome data, enabling the community to train and evaluate AI models at scale. - Collaborate with quantum hardware teams to collect and structure hardware-derived training data, enabling domain-adapted models that improve over time as hardware matures. - Co-design AI solutions with quantum hardware and software teams, ensuring decoders and calibration models meet latency and throughput requirements for real-time operation inside fault-tolerant feedback loops. - Communicate research findings through top-tier venues and collaborate with academic and industry partners to advance the field, while championing a culture of rapid innovation, technical depth, and creative problem solving. What we need to see: - Degree in Computer Science, Physics, Applied Mathematics, Electrical Engineering, or a related field (Ph.D. strongly preferred); equivalent demonstrated experience also considered. - 8+ years of combined experience in quantum computing and/or AI/ML research, with a track record of high-impact contributions in at least one of these domains. - Deep expertise in machine learning and deep learning—including model architecture design, training at scale, and evaluation—applied to scientific or engineering problems. - Strong background in Quantum Information Science, including quantum error correction, fault-tolerant protocols, and quantum noise models. - Excellent communication skills and the ability to collaborate effectively with multi-functional teams across research, engineering, and product. Ways to stand out from the crowd: - Hands-on experience developing learned decoders or AI-driven calibration systems for quantum hardware (superconducting qubits, trapped ions, or other platforms). - Experience with large-scale model training and fine-tuning—including parameter-efficient fine-tuning (LoRA, QLoRA, adapters) and domain adaptation for scientific AI models. - Proficiency with CUDA and NVIDIA GPU programming for accelerating quantum simulation, AI model training, or real-time decoding workloads. - Experience with high-performance computing (HPC) environments and distributed training frameworks (e.g., PyTorch Distributed, Megatron-LM, or JAX pmap) for large-scale quantum AI workloads. - Passion to drive AI innovations into NVIDIA software and hardware products that support the broader quantum computing ecosystem. 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/ 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 192,000 USD - 304,750 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until May 25, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

At NVIDIA, we address some of the world’s most exciting challenges with our unique approach to accelerated computing. As a Senior Quantum Algorithm Researcher you will help grow the adoption of our products and collaborate with Product, Engineering, and Research teams to drive innovation at the intersection of quantum computing applications and AI. Your work will contribute to NVIDIA quantum product in key areas such as AI methods for quantum algorithm discovery, advanced quantum simulations, and digital twins. NVIDIA’s Quantum group is a small, high-impact team visible both internally within NVIDIA and externally across the global quantum community. We’re looking for passionate quantum algorithm researchers who want to help define the future of the field. Do you have deep technical expertise in quantum algorithms and applications, and a drive to push the boundaries of technology? If yes, we’d love to hear from you! What You'll Be Doing: - Establish and lead technical collaborations with supercomputing centers (SCCs) on hybrid quantum-classical application development across multiple industry verticals. - Lead research pathfinding in AI for quantum algorithms. - Lead all aspects of and drive the execution of technical results for projects in collaboration with our strategic partnerships, including SCCs, leading QPU builders, and needle-moving researchers, ensuring alignment with strategic objectives and customer success. - Contribute to NVIDIA’s revenue stream through strategic technical engagement and the development of innovative solutions that support customer adoption and long-term partnerships. - Publish impactful research works and represent NVIDIA at relevant scientific, technical, and industry conferences. What We Need To See: - Ph .D. in Quantum Computing, Physics, Computer Science, or a related field (or equivalent experience). - Over 9 years of experience working on Quantum Algorithms and Applications. - Demonstrated leadership in technical collaborations with industry partners. Excellent programming skills in Python, C++, and a parallel programming model (e.g., CUDA). - World-class communication and interpersonal skills with a proven ability to articulate a value proposition to technical and non-technical audiences. - A track record of research excellence demonstrated in publications and presentations at leading conferences. Ways To Stand Out From The Crowd: - Recognized thought-leadership in the cross section of quantum applied research and high-performance computing. - Experience with the NVIDIA Quantum platform (cuQuantum or CUDA-Q)!

Quantum computing has been making significant steps over the last years and is gradually making it’s way towards becoming a reality. For Nvidia, it is necessary to prepare for this age and examine how our datacenters become ready for the introduction of this revolutionary technology. Nvidia Advanced Research Group is seeking a talented and dedicated student to join their quantum optics team to support Quantum Key Distribution (QKD) activities. The work will include establishing new optical setups, testing of future components, circuits and devices and engagement in adapting solutions for the post quantum future. What you will be doing: - Designing, realizing and testing of QKD and other optical setups in the labs - Assembling fiber based electro-optical (EO) setups - Testing and characterization of EO components  & Photonic Integrated Chip (PICs) - Drafting of laboratory measurement reports - Involvement in examination of cutting-edge technology for practical applications What we need to see: - MSc or PhD student in the field of Electro-optics, quantum optics, physics or similar - Hands-on lab experience with either free-space or fiber optical setups and related measurements instruments - Knowledge & understanding of EO components & working principles - At least 2-3 years left until graduation - Availability to work at least a 50 % position at Nvidia labs in Yokneam - Knowledge of Python, MATLAB, or other data analysis tools. - Good communication and interpersonal skills, with the ability to collaborate effectively with teams members - Drive, initiative, and independence Ways to stand out from the crowd: - Familiarity with quantum optics and QKD protocols. - Understanding of optical detection methods & detectors– SPADs, Coherent detection, etc - Lab  experience with electro-optic components such as modulators, VOA,  polarization correction methods, fiber coupling & RF probing

Quantum computing is a strategic priority for NVIDIA, and our goal is to help accelerate the entire ecosystem. In this role, you’ll join a rapidly growing Quantum Computing team and work with internal and external teams to define system requirements to enable fault-tolerant quantum computing. Do you love engineering complex systems for controlling a quantum computer and working at the speed of light with collaborative people and teams all around the world? If yes, we would love to hear from you! What you'll be doing: - Collaborate with internal product, research, and engineering teams and external partners to define system requirements to enable fault-tolerant quantum computing - Develop novel approaches to real-time quantum error correction and calibration supported by rigorous systems analysis for a variety of qubit modalities - Distill product requirements to technical requirements across hardware, software, and firmware - Develop test cases supporting technical requirements and review test implementations for correctness and completeness - Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving What we need to see: - Bachelor’s degree in Physics, Electrical Engineering, Computer Science, Applied Mathematics, or related engineering field or equivalent experience. Higher degrees also welcome. - 5+ overall years of post-bachelor’s experience including responsibility for engineering across multiple parts of a complex hardware and software system - Deep hands-on experience working with real qubits and quantum control systems software - Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing Ways to stand out from the crowd: - Experience with design of quantum control systems and techniques, including communication and networking - Experience with development of real-time systems and embedded software - Knowledge of methods of benchmarking quantum computers - Adoption of AI and ML techniques - Experience with CUDA and NVIDIA GPUs

At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a passionate scientist at the intersection of quantum device physics and advanced physics simulation and modeling. This role will path-find the future of high-fidelity, real-time models for fault-tolerant quantum hardware. At NVIDIA, we want to help accelerate the entire quantum ecosystem. As a Sr. Quantum Applied Research Scientist, you will help design and build high-fidelity models grounded in device physics, calibration experiments, decoding, and system performance. You will develop physics-informed data generation pipelines, advanced physics models, and advanced noise models. Your research will translate qubit physics into performant, accelerated modeling systems for fault-tolerant quantum computing for both offline and real-time use. You will collaborate with teams across Product, Engineering, and Applied Research to push the frontier of Accelerated Quantum Supercomputers! Do you love developing new technology, enjoy working with people and teams around the world, and operating at the speed of light? If yes, we would love to hear from you! What you'll be doing: - Research and develop advanced physics-based models and scalable simulation frameworks. - Build physics-informed synthetic data generation pipelines that leverage quantum device models, noise channels, and Hamiltonian characterization to produce high-quality datasets. - Develop detailed noise models of quantum hardware that capture device physics, decoherence, and drift behavior, enabling accurate performance prediction and parameter inference without full experimental overhead. - Develop GPU-accelerated implementations to ensure the full simulation and modeling pipeline scales. - Communicate research findings and collaborate with academic and industry partners to advance the field, while championing rapid innovation, technical depth, and creative problem solving. What we need to see: - Masters Degree in Physics, Computer Science, Electrical Engineering, Applied Mathematics, or a related field (Ph.D. strongly preferred); or equivalent experience. - 8+ years of combined experience and high impact in quantum systems, physics-based modeling, simulation, or related research areas. - Hands-on expertise in developing high-fidelity models of physical systems, including numerical simulation and model validation. - Strong background in quantum device physics and information science, including noise models, error mechanisms, and fault-tolerant quantum systems across one or more qubit modalities. - Broad understanding of quantum control, such as pulse-level hardware interfaces and classical feedback through software abstractions. - Experience with scalable computing or accelerated systems for simulation, numerical methods, or modeling workflows. - Excellent communication and collaboration skills. Ways to stand out from the crowd: - Hands-on experience developing simulation frameworks or digital twins of quantum systems and deploying them in calibration or control workflows, with awareness of fidelity, latency, and scalability tradeoffs. - Deep expertise in modeling, extracting, and validating noise processes, including system identification, parameter estimation, and uncertainty quantification. - Experience with physics-informed or generative approaches to synthetic data generation, including noise simulation, Hamiltonian learning, or data augmentation for scientific workflows. - Experience with modeling of more than one qubit modality, including neutral atom qubits. - Proficiency with CUDA and NVIDIA GPU programming for accelerating quantum simulation, numerical modeling, or large-scale scientific workloads. 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/ 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 192,000 USD - 304,750 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 12, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.

At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a passionate scientist at the intersection of quantum device physics, quantum calibration, and machine learning. This role will path-find the future of intelligent, real-time models for fault-tolerant quantum hardware. At NVIDIA, we want to help accelerate the entire quantum ecosystem. As a Sr. Quantum Applied Research Scientist, you will help design and build real-time models that learn from device physics, calibration experiments, decoding, and system performance. You will develop physics-informed data synthesis pipelines, post-trainable model architectures, and practical benchmarks that the quantum community can build on. Your research will translate qubit physics and the quantum control stack into performant AI systems for fault-tolerant quantum computing. The work will span synthetic training data generation, surrogate modeling, and co-optimized calibration-decoding pipelines. You will collaborate with teams across Product, Engineering, and Applied Research to push the frontier of Accelerated Quantum Supercomputers! Do you love developing new technology, enjoy working with people and teams around the world, and operating at the speed of light? If yes, we would love to hear from you! What you'll be doing: - Research and develop open AI models for quantum system calibration to advance the state of the art and empower the quantum community to build on shared foundations. - Build physics-informed synthetic data generation pipelines that leverage quantum device models, noise channels, and Hamiltonian characterization to produce high-quality training data for upstream calibration and decoding model development. - Develop surrogate models of quantum hardware that capture device physics and drift behavior, enabling rapid performance prediction and parameter inference without full experimental overhead. - Architect performant real-time AI systems that jointly account for calibration state and decoding requirements, co-designing model latency, throughput, and update cadence to meet the demands of fault-tolerant feedback loops. - Apply reinforcement learning and online learning methods to calibration policy optimization, enabling models that improve continuously from hardware feedback and generalize across device families and modalities. - Develop GPU-accelerated implementations to ensure the full pipeline scales. - Communicate research findings and collaborate with academic and industry partners to advance the field, while championing rapid innovation, technical depth, and creative problem solving. What we need to see: - Masters degree in Physics, Computer Science, Electrical Engineering, Applied Mathematics, or a related field (Ph.D. strongly preferred); or equivalent experience. - 8+ years of combined experience and high impact in quantum systems and AI/ML research. - Hands-on expertise in machine learning and deep learning for science or physics, including model architecture design, training at scale, fine-tuning, and evaluation. - Strong background in quantum device physics and information science, including noise models, error mechanisms, and fault-tolerant quantum systems across one or more qubit modalities. - Broad understanding of quantum control, such as pulse-level hardware interfaces and classical feedback through software abstractions. - Excellent communication and collaboration skills. Ways to stand out from the crowd: - Hands-on experience developing learned calibration or decoding models and deploying them within real-time quantum control feedback loops, with direct awareness of latency and throughput constraints. - Deep expertise in reinforcement learning—including policy optimization, reward shaping, and sim-to-real transfer—applied to physical systems or closed-loop control problems. - Experience with physics-informed or generative approaches to synthetic data generation, including noise simulation, Hamiltonian learning, or data augmentation for scientific AI models. - Experience with large-scale model training and fine-tuning—including parameter-efficient methods (LoRA, QLoRA, adapters) and domain adaptation. - Proficiency with CUDA and NVIDIA GPU programming for accelerating quantum simulation, AI model training, or real-time inference workloads at scale. 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/ 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 192,000 USD - 304,750 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 12, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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 looking for an outstanding senior software engineer to join our endeavor to accelerate quantum chemistry on NVIDIA GPUs: cuEST . Launched in March 2026, cuEST is a CUDA-X math library. It provides accelerated APIs for essential functions related to electronic structure computations. The library starts with Gaussian-basis quantum chemistry. We are constantly working to improve the feature set, performance, and technology stack of cuEST, and are looking for new teammates to help drive the next generation of cuEST development. This role will enable you and your colleagues to expand the frontiers of electronic structure theory. It will provide incredible performance for applications ranging from drug discovery to semiconductor process development. At one level, you will be engaged with the day-to-day engineering activities of a high-performance math libraries engineering team building and shipping cuEST. At another level, you will continually innovate and develop new algorithms that improve the flexibility of practical quantum chemistry. What you will be doing: - You and your teammates will own every part of the engineering mission of cuEST - from idea to shipped CUDA-X library. - You will architect, implement, optimize, productize, and deploy production-grade GPU solutions for quantum chemistry library primitives in a collaborative environment. This includes technical leadership of specific code modules and general team-based contribution to engineering projects. - Collaborating across broader engineering, product, and program organizations, you will take the developed products to market with a strong focus on partner and customer engagement. - Engaging with the broader quantum chemistry community, contributing knowledge that helps drive adoption of GPU-accelerated quantum chemistry and carrying new developments from the field back to your teammates to accelerate our work. What we need to see: - 10+ years of experience in developing high performance numerical methods for scientific computing - 5+ years of experience in developing production-grade quantum chemistry packages - PhD or equivalent experience in computational physics, computational chemistry, computer science, or related technical fields - Expert knowledge of GPU software development and performance optimization - Proficiency in C++, CUDA, and common quantum chemistry tools - Adept with lean team-based software engineering, including familiarity with the use of agentic AI to boost the speed and quality of delivered software products Ways to stand out from the crowd: - Outstanding knowledge of high-performance Gaussian quantum chemistry primitives in extended simulation conditions, such as periodic boundary conditions, response properties, larger molecular systems, or Gaussian integral technology. - Experience with high-performance accelerator algorithm design, including use of tensor cores, floating point emulation, and mixed precision algorithms to unlock the potential of each accelerator. 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 June 16, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.

At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a senior engineer at the intersection of quantum computing, distributed systems, and advanced data platforms. This role will help path-find the future of high-fidelity, real-time system modeling and co-design for quantum computing platforms. At NVIDIA, we want to help accelerate the entire quantum ecosystem. As a Senior Software Engineer, you will design and build data interfaces, orchestration layers, and system foundations that connect applications, simulation environments, AI models, and emerging computing systems. You will develop scalable data architectures, synthetic data generation pipelines, and agentic systems that enable advanced prediction, analysis, and co-design across complex systems. You will collaborate across Product, Engineering, and Applied Research to explore new platform capabilities for accelerated computing. Do you enjoy building new system abstractions, working across disciplines, and operating at the frontier of software, AI, and physics? If yes, we would love to hear from you! What you'll be doing: - Build and evolve scalable data platforms and interfaces that integrate heterogeneous system data, simulation outputs, AI model inputs/outputs, and application workflows. - Design and implement agentic orchestration frameworks to support modeling, prediction, and coordination across complex computing systems. - Develop synthetic data generation pipelines and supporting infrastructure for training, validation, and evaluation of AI-driven models. - Implement robust data pipelines, storage systems, and APIs to support high-throughput, low-latency workloads across simulation and real-time environments. - Collaborate closely with research and engineering teams to translate domain-specific models and system signals into performant, reliable systems. What we need to see: - BS, MS, or PhD in Computer Science, Engineering, Physics, or a related field (or equivalent experience). - 10+ years of experience building and operating production-grade software systems, with strong fundamentals in data engineering and distributed systems. - Working knowledge of quantum computing concepts and the ability to collaborate effectively with domain experts. - Hands-on experience with backend and data technologies (e.g., Python, C++, Go, APIs, distributed services, and modern data platforms). - Strong software engineering practices across testing, CI/CD, observability, and performance optimization. Ways to stand out from the crowd: - Experience building simulation or modeling platforms in scientific computing, physics, or hardware-software environments. - Experience developing synthetic data pipelines or supporting AI/ML workflows at scale. - Familiarity with agentic systems, orchestration frameworks, or AI-driven automation. - Deeper exposure to quantum computing concepts, including hardware, control systems, or performance modeling. - Experience with GPU acceleration, CUDA, or high-performance computing for large-scale workloads. 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 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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 building the leading platform for Quantum Computing with CUDA-Q, and we need technical marketing engineers who can bring it to the developers, researchers, and AI agents who will use it. In this role, you will drive technical enablement across a broad developer ecosystem — creating content, tools, and experiences that help quantum researchers, HPC practitioners, and AI developers get hands-on with CUDA-Q. You will work at the intersection of quantum computing, accelerated computing, and AI to ensure that the people building the next generation of quantum applications have everything they need to succeed. What you'll be doing: - Analyze developer journey needs with product teams and domain experts to identify and close gaps for both human and agent workflows using CUDA-Q - Define practical standards for developer surfaces including GitHub, docs, example code, and onboarding that work for both developers and the AI agents they use - CreateMCP servers, Agent Skills, API documentation patterns, agent-consumable tests, and prompt-ready templates - Build and maintain enablement resources — templates, runbooks, checklists, context files, and reference implementations — that quantum researchers and developers can use directly - Evaluate content performance using human engagement metrics and agent signals to continuously improve developer time-to-value with CUDA-Q - Define success criteria and evaluation frameworks for agentic developer tools — designing benchmarks, running evals, and translating results into actionable product improvements - Track emerging AX, GEO, and AI citation research and translate findings into practical guidance for teams building quantum computing applications What we need to see: - Bachelor's degree in a technical field, or equivalent experience - 5+ years work of related work experience - Experience with documentation systems, information architecture, and content strategy for developer-facing and agent-facing technical content - Understanding of agent-consumable content standards such as llms.txt, MCP, Agent Skills, and API documentation patterns - Knowledge of quantum computing concepts and familiarity with CUDA-Q or similar quantum computing frameworks - Proficiency with agentic coding harnesses such as Claude Code or Codex, and the judgment to evaluate AX tooling — from MCP servers and Agent Skills to API docs and prompt templates — for different contexts - Strong communication and interpersonal skills, with the ability to collaborate effectively with researchers, engineers, and product teams - Experience designing evaluations for developer or ML products — controlled experiments, human eval pipelines, or benchmark harnesses — with clear success criteria defined upfront - A track record of staying ahead of fast paced technology shifts and translating findings into practical guidance before it becomes conventional wisdom Ways to stand out from the crowd: - Hands-on experience with CUDA-Q or other quantum computing frameworks, and an intuition for how quantum workloads connect to the broader GPU-accelerated computing stack - Track record of building enablement resources — libraries, playbooks, templates — that developer teams actually use, and driving adoption across organizations - Contributions to open-source quantum computing, AI, or developer tooling projects - Experience using data and analytics to measure developer onboarding, identify friction points, and drive improvements NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working with us. If you are creative, autonomous, and passionate about building open-source tools that make AI safer and more private, 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 136,000 USD - 212,750 USD for Level 3, and 160,000 USD - 253,000 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 5, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA's accelerated computing platform has revolutionized HPC and AI, and we have built the cuQuantum SDK to enable researchers and framework developers in the area of Quantum Computing. This role will be part of an engineering team developing, scaling, and optimizing software to accelerate and scale quantum computing and quantum system simulations. Ideal candidates will have experience building software systems and curiosity about advancing the state-of-the-art in applications of HPC and GPUs to the quantum computing ecosystem. If you are passionate about designing and developing high-performance software and want to help us build libraries to significantly accelerate research and development in this exciting field, we would love to hear from you! What you'll be doing: - Researching and developing and optimizing GPU accelerated algorithms across multiple hardware generations - Develop innovative HPC algorithms to scale quantum circuit simulations - Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, HPC technologies, and machine learning - Interacting with external partners and researchers to understand their use cases and requirements - Providing technical leadership and guidance to other engineers - Analyzing the performance of GPU, CPU, multi-GPU/multi-node implementations, finding opportunities for algorithmic or implementation-based improvements What we need to see: - Excellent C++ and Python programming and software design skills, including functional and performance test design - Experience programming for GPUs, in a multi-threading and multi-node MPI programming model, and expertise in hardware-aware optimization - Experience with agentic coding tools - Demonstrated ability developing scientific software used in quantum simulations (e.g., circuit simulators, compilers, hybrid-computing) - PhD or MSc degree in Computer Science, Applied Math, Physics, or related science or engineering field (or equivalent experience) - 8+ years of experience - Strong collaboration, communication, and documentation skills Ways to stand out from the crowd: - Experience using one or more quantum computing and deep learning frameworks (e.g., Qiskit, Cirq, Pennylane, TNQVM, TensorFlow, PyTorch) - Proven experience with HPC technologies and communication algorithms - Expertise in numerical methods, Hamiltonian integrals, quantum simulation techniques - Experience working in an agile software development environment within a globally distributed organization 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 outstanding growth, our best-in-class engineering teams are rapidly growing. 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 20, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.