Nvidia Jobs in the United States
NVIDIA Corporation
$260226 - $287500
Redmond, WA
Engage in, support, and/or market the design and development of NVIDIA’s GPU, computer graphics, AI and supercomputing for gaming, professional visualization and data centers for various industries. Craft high performance energy efficient system and processor architectures to extend the state of the art in deep learning.
NVIDIA Corporation
$235000 - $287500
Seattle, WA
Engage in, support, and/or market the design and development of NVIDIA’s GPU, computer graphics, AI and supercomputing for gaming, professional visualization and data centers for various industries. Build robust, scalable, high performance software components to support distributed inference workloads.
NVIDIA Corporation
$346000 - $431250
Redmond, WA
Develop tools for GPU Cluster users and admins, utilizing knowledge of software design and implementation; Build internal perf/power profiling and analysis tools and platform for Al workloads at cluster scale. Salary will be determined based on location, experience and the pay of employees in similar positions and levels.
NVIDIA Corporation
$245000 - $287500
Seattle, WA
Engage in, support, and/or market the design and development of NVIDIA’s GPU, computer graphics, AI and supercomputing for gaming, professional visualization and data centers for various industries. Design, implement and support operational and reliability aspects of large-scale Kubernetes clusters with focus on performance at scale, real time monitoring, logging and alerting.
NVIDIA Corporation
$256250 - $333500
Seattle, WA
Engage in, support, and/or market the design and development of NVIDIA’s GPU, computer graphics, AI and supercomputing for gaming, professional visualization and data centers for various industries. Design, implement and support operational and reliability aspects of large scale Kubernetes clusters with focus on performance at scale, real time monitoring, logging and alerting.
NVIDIA Corporation
$297250 - $356500
Seattle, WA
Engage in, support, and/or market the design and development of NVIDIA’s GPU, computer graphics, AI and supercomputing for gaming, professional visualization and data centers for various industries. Design, implement and support operational and reliability aspects of large scale Kubemetes clusters with focus on performance at scale, real time monitoring, logging and alerting.
NVIDIA
Redmond, WA
What you'll be doing: + Prototype state-of-the-art quantization and sparsity recipes applied to LLM workloads + Design and execute post-training quantization or quantization-aware distillation experiments: prepare SFT/RL calibration datasets, manage checkpoint-level eval sweeps, and iterate on recipes based on results + Run accuracy and verbosity evaluations of quantized/sparsified LLM workloads at cluster scale + Develop data analysis tooling and visualizations for numerics debugging + Participate in code reviews and incorporate feedback + Contribute improvements upstream to open-source inference and optimization libraries; publish findings at ML conferences where appropriate What we need to see: + Proficient in Python and PyTorch + Experience with quantization, sparsity, or other model compression techniques + Ability to design and run rigorous experiments: controlled ablations, statistical significance, reproducibility + Familiarity with LLM evaluation methodology (benchmarks, human-preference proxies, verbosity metrics) + MS/PhD in Computer Science, Computer Engineering, Machine Learning, or equivalent experience. + 3+ years of experience in an applied ML role + Demonstrated ability to move fast with ambiguous requirements, with strong written and verbal communication Ways to stand out from the crowd: + Published work or production experience in post-training quantization or quantization-aware training + Experience with SFT, RLHF/DPO, or distillation pipelines + Familiarity with inference serving frameworks (vLLM, TRT-LLM, SGLang) + Track record of debugging numerical issues in mixed-precision training or inference Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
NVIDIA
Redmond, WA
Designing and implementing compiler technology using MLIR to optimize high-level kernel descriptions (written in Triton's Python DSL), with a focus on generating efficient, low-level GPU code. 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.
NVIDIA
Redmond, WA
The candidate will translate recipe specifications into functionally correct, performant code, e.g., writing Triton kernels, inserting quantize/dequantize nodes into prefill and decode paths, and ensuring per-expert scaling in MoE layers is handled correctly. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
NVIDIA
Redmond, WA
As NVIDIA makes significant strides in AI datacenters, our team holds a central role in maximizing the efficiency of our exponentially growing inference deployment needs and establishing a data-driven approach to algorithmic improvements, hardware design and system software development. We are seeking an ambitious and forward-thinking senior deep learning engineer to contribute to the development of next-generation inference optimizations targeting frontier workloads including multi-agent AI systems, generative multimodal models, and inference-time compute scaling.
NVIDIA
Redmond, WA
Build custom PoCs for solution that address customer's critical business needs applying NVIDIA hardware and software technology + Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions for ML/DL and other software solutions + Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc. + Established track record of deploying solutions in cloud computing environments including AWS, GCP, or Azure + Knowledge of DevOps/ML Ops technologies such as Docker/containers, Kubernetes, data center deployments + Ability to use at least one scripting language (i.e., Python) + Good programming and debugging skills + Ability to communicate your ideas/code clearly through documents, presentation etc.
NVIDIA Corporation
$165000 - $189750
New York, NY
Engage in, support, and/or market the design and development of NVIDIA’s GPU, computer graphics, AI and supercomputing for gaming, professional visualization and data centers for various industries. Salary will be determined based on location, experience, and the pay of employees in similar positions.
NVIDIA
Redmond, WA
You will help major cloud platforms develop, validate, and deploy world-leading networking solutions using NVIDIA NICs and DPUs. + Optimize host networking and performance by analyzing bottlenecks (CPU, PCIe, memory, NUMA) and develop PoC solutions for critical business needs.
NVIDIA
Redmond, WA
Hands-on experience in the Linux Environment and Linux Networking + Consistent track record of leading proof-of-concept/feature development activities With competitive salaries and generous benefits packages, we are widely considered to be one of the technology world's most desirable employers; we have some of the most thoughtful and dedicated people working for us and, due to unparalleled growth, our outstanding teams are rapidly growing. This dynamic role requires excellent technical and interpersonal skills to analyze, define, implement, and fix large-scale networking projects with customers and internal teams.
NVIDIA
Redmond, WA
What you'll be doing: + Path-find technical innovations in Quantum Error Correction and Fault Tolerance, working with multi-functional teams in Product, Engineering, and Applied Research + Develop novel approaches to decoding quantum error correction codes and their logical operations, including researching advanced implementations in hardware + Research and co-design improved methods to achieve more scaled decoders + Collaborate with internal teams and external partners on developing technology components to enable a fault-tolerant software stack integrated with quantum hardware + Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving What we need to see: + Masters degree in Physics, Computer Science, Chemistry, Applied Mathematics, or related engineering field or equivalent experience (Ph. D. preferred) + Extensive background in Quantum Information Science with 6+ overall years of experience in the Quantum Computing industry + A demonstrated ability to deliver high impact value in quantum error correction and decoding Ways to stand out from the crowd: + Hands-on experience in scientific computing, high-performance computing, applied machine learning, or deep learning + Experience with co-design of quantum error correction with quantum hardware or quantum applications + Experience with CUDA and NVIDIA GPUs + Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.
NVIDIA
Seattle, WA
What you will be doing: + Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications; + Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands; + Contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack; + Engaging with the academic community through high-impact publications, conferences, workshops, and code releases; + Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact; + Mentoring interns joining NVIDIA during their PhD programs. The Seattle Robotics Lab has led many influential works that have been presented at top robotics, AI, and computer vision conferences; these works include BayesSim (https://www.roboticsproceedings.org/rss15/p29.pdf) , cuRobo (https://curobo.org/) , DeXtreme (https://dextreme.org/) , DiSECT (https://diff-cutting-sim.github.io/) , Factory (https://research.nvidia.com/publication/2022-05\_factory-fast-contact-robotic-assembly) , GraspNet (https://arxiv.org/pdf/1905.10520) , ITPS (https://yanweiw.github.io/itps/) , MimicGen (https://mimicgen.github.io/) , RVT (https://robotic-view-transformer.github.io/) , and SHAC (https://arxiv.org/abs/2204.07137) .
NVIDIA
Redmond, WA
In particular, you will have the opportunity to: + Work on aligning NVIDIA's chipset and product roadmap with the software team capacity roadmap and help balance global priorities + Keep the team on track by coordinating dependencies across functional areas and identifying planning gaps + Be empowered to make prioritization decisions and represent the team to other groups + Partner closely with hardware, release planning, and customers, giving you a complete picture of software at NVIDIA + Propose and develop new methods to handle projects and unify planning systems + Define and track metrics to improve execution efficiency What we need to see: + 15+ overall years of program management experience in delivering software products + Bachelor's degree in engineering, Computer Science, or similar field or equivalent experience + Proven track record of balancing short-term delivery towards critical timelines alongside thoughtful long-term steps towards improving planning, processes, and team capabilities. Ways to stand out from the crowd: + Past experience as a software developer + Knowledge of SOC, GPU or CPU project management + Background in graphics, machine learning, or accelerated computing + Experience with software productivity tools and process automation NVIDIA is widely recognized as one of the world's most desirable employers.
NVIDIA
Redmond, WA
Experience optimizing and deploying large MoE LLMs at scale + Active contributions to open-source AI inference projects (e.g., vLLM, TensorRT-LLM Dynamo, SGLang, Triton or similar) + Experience with Multi-GPU Multi-node Inference technologies like Tensor Parallelism/Expert Parallelism, Disaggregated Serving, LWS, MPI, EFA/Infiniband, NVLink/PCIe, etc + Experience in developing and integrating monitoring and alerting solutions using Prometheus, Grafana, and NVIDIA DCGM and GPU performance Analysis and tools like NVIDIA Nsight Systems We make extensive use of conferencing tools, but occasional travel is required for local on-site visit to customers and industry events. + Build custom PoCs for solution that address customer's critical business needs applying NVIDIA hardware and software technology + Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions for ML/DL and other software solutions + Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
NVIDIA
Redmond, WA
Build custom PoCs for solution that address customer's critical business needs applying NVIDIA hardware and software technology + Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions for ML/DL and other software solutions + Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc. + Established track record of deploying solutions in cloud computing environments including AWS, GCP, or Azure + Knowledge of DevOps/ML Ops technologies such as Docker/containers, Kubernetes, data center deployments + Ability to use at least one scripting language (i.e., Python) + Good programming and debugging skills + Ability to communicate your ideas/code clearly through documents, presentation etc.
NVIDIA
Redmond, WA
A minimum of 12+ years of overall professional experience in the technology industry working with hyperscalers in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience with Artificial Intelligence software stacks and services + Strong software engineering background in one or more: Python/C++/CUDA, distributed systems, ML inference/serving, performance engineering, cloud platforms. + Drive NVIDIA software adoption by delivering hands-on guidance and technical support across relevant SDKs/libraries and platform integrations (e.g., model serving, training and inference optimizations).
NVIDIA
Redmond, WA
What you'll be doing: + Path-find technical innovations in Quantum Error Correction and Fault Tolerance, working with multi-functional teams in Product, Engineering, and Applied Research + Develop novel approaches to quantum error correction codes and their logical operations, including methods for implementation and logical operation synthesis + Research and co-design improved methods to achieve fault tolerance, such as techniques for logical operations, concatenation, synthesis, distillation, cultivation, or others + Collaborate with internal teams and external partners on developing technology components to enable a fault-tolerant software stack integrated with quantum hardware + Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving What we need to see: + Masters degree in Physics, Computer Science, Chemistry, Applied Mathematics, or related engineering field or equivalent experience (Ph. D. preferred) + Extensive background in Quantum Information Science with 12+ overall years of experience in the Quantum Computing industry + A demonstrated ability to deliver high impact value in quantum error correction and fault tolerance Ways to stand out from the crowd: + Hands-on experience in scientific computing, high-performance computing, applied machine learning, or deep learning + Experience with co-design of quantum error correction with quantum hardware or quantum applications + Experience with CUDA and NVIDIA GPUs + Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
NVIDIA
Seattle, WA
The company's groundbreaking work in accelerated computing-a supercharged form of computing at the intersection of computer graphics, high performance computing and AI-is reshaping industries, such as transportation, healthcare and manufacturing, and fueling the growth of others. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
NVIDIA
Seattle, WA
Beyond execution, this role carries real organizational influence: + Designing and leading tooling and analytics capabilities that surface actionable program insights for leadership + Building a consolidated view of per-customer networking configurations, replacing fragmented per-team tracking + Developing program communications tailored for engineering, product, and executive audiences + Representing networking requirements in cross-business-unit planning forums + Building repeatable frameworks - operating rhythms, issue resolution paths - that outlast any single platform program What we need to see: + Bachelor's degree in Electrical Engineering, Computer Science, or a related field, or equivalent experience + 15+ years of technical program management experience owning complex, multi-stakeholder release programs + Deep knowledge of data center networking - high-speed interconnects, network interface cards, and surrounding firmware and driver ecosystems + Demonstrated experience working with hyperscale cloud customers at scale + Ability to build program infrastructure from scratch: tracking systems, reporting frameworks, cross-functional operating rhythms + Clear communication skills across engineering, product, and executive audiences Ways to Stand Out From the Crowd: + Hands-on familiarity with ConnectX, BlueField, or DOCA-based frameworks - or equivalent high-performance networking products + Background with InfiniBand or RDMA over Converged Ethernet in large-scale GPU cluster deployments + Experience leading tooling or analytics teams within a program management function + Familiarity with feature backlog governance and plan-of-record management + Experience building readiness tracking systems across multiple customer deployment architectures With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. Our NVIDIA Networking team builds the connectivity fabric - ConnectX network interface cards, BlueField data processing units, and the DOCA software framework - that enables hyperscale cloud providers to deploy GPU clusters at unprecedented scale.
NVIDIA
Seattle, WA
What you will be doing: + Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications; + Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands; + Co-leading and contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack; + Engaging with the academic community through high-impact publications, conferences, workshops, and code releases; + Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact; + Mentoring interns and more junior research scientists and engineers. The Seattle Robotics Lab has led many influential works that have been presented at top robotics, AI, and computer vision conferences; these works include BayesSim (https://www.roboticsproceedings.org/rss15/p29.pdf) , cuRobo (https://curobo.org/) , DeXtreme (https://dextreme.org/) , DiSECT (https://diff-cutting-sim.github.io/) , Factory (https://research.nvidia.com/publication/2022-05\_factory-fast-contact-robotic-assembly) , GraspNet (https://arxiv.org/pdf/1905.10520) , ITPS (https://yanweiw.github.io/itps/) , MimicGen (https://mimicgen.github.io/) , RVT (https://robotic-view-transformer.github.io/) , and SHAC (https://arxiv.org/abs/2204.07137) .
NVIDIA
Seattle, WA
Ideal candidates possess solid technical skills alongside proven expertise in go-to-market strategy, encouraging others to support developers and highlighting how NVIDIA technology can address large-scale challenges effectively. + Design and recommend technical enablement resources-such as sample code, demos, guides, and pipelines-that make NVIDIA technologies more accessible and practical for real-world use.
NVIDIA
Redmond, WA
As part of the NVIDIA Solutions Architecture team, we navigate uncharted technical and organizational spaces - serving as the bridge between early platform readiness, cloud engineering teams, product strategy, and large-scale customer deployments. + Proficiency with Linux systems tools for identifying issues and evaluating system performance, such as: dmesg, journalctl, lspci, numactl, ethtool, iostat, perf, nvidia-smi, top/htop, ipmitool, container-level tooling, and related utilities.
NVIDIA
Redmond, WA
The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) . + Design and implement product features that would help make it possible and easy to collect, analyze, and visualize performance profiling data in cluster and cloud environments.
NVIDIA
Remote, WA
What you will be doing: + Design and implement runtime features that orchestrate the lifecycle of runtime components across thousands of Kubernetes clusters without manual intervention + Build and maintain the systems that configure, package, validate, and distribute accelerated compute components + Develop Kubernetes controllers, CRDs, and operators that automate runtime installation, upgrade, and rollback operations with API driven workflows What we need to see: + Bachelors in Computer Science, or equivalent experience + 8+ years of professional experience, with at least 3 years of experience with Kubernetes development + Experience building production Kubernetes systems with significant expertise in controllers, operators, and CustomResourceDefinitions + Strong proficiency in Go and experience building scalable Go services that manage complex distributed systems + Hands-on experience with Helm, Kustomize, and managing Kubernetes manifest packaging and templating + Demonstrated ability to design and implement automation systems that replace manual processes with reliable, self-service tooling Ways to stand out from the crowd: + Experience working with NVIDIA Kubernetes components such as GPU operator, device plugins, or other HPC components in large scale production environments + Deep familiarity with OCI registries, artifact signing, SBOM generation, and supply chain security practices + Experience building multi-tenant platform services with focus on API design, versioning, and backward compatibility + Track record of migrating legacy systems to modern, automated platforms while maintaining zero-downtime operations and contributions to upstream Kubernetes/CNCF projects or experience extending Kubernetes API machinery + Deep understanding of Kubernetes architecture including API machinery, admission controllers, and resource lifecycle management NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The Runtime team is responsible for providing an NVIDIA-Accelerated Kubernetes runtime that can be applied to any cluster using NVIDIA accelerators, empowering engineers with automation-first, self-service tools that minimize manual effort while enhancing reliability and reproducibility.
NVIDIA
Redmond, WA
What You'll Be Doing: + Develop AI Software Resiliency Features: Implement and optimize software features that improve AI system reliability at a massive scale, such as fast checkpoint-recovery, error detection, error isolation, and straggler/hang detection. + Collaborate Across Teams: Work closely with senior engineers, AI researchers, and hardware/software teams to integrate resiliency features into AI frameworks like PyTorch and JAX/XLA.
NVIDIA
Redmond, WA
What you'll be doing: + Establish yourself as a technical specialist in embedded networking products, specifically the BlueField and ConnectX product lines, providing direct support to sales accounts and program managers while collaborating closely with the team to secure design wins + Architect, design, and develop innovative, scalable, and high-performance hardware-accelerated software solutions + Engage with strategic customers and partners to train, design, build, and productize solutions based on our networking products + Identify customer architectures and key product and production requirements related to AI networking at hyperscale, software-defined networking, and the latest GPU hardware + Provide technical guidance and direction to fellow developers, ensuring cohesive execution as a unified team + Represent the group in cross-org/leadership and customer technical discussions What we need to see: + A Bachelor's, Master's or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering or a related science degree (or equivalent experience) + 8+ overall years of experience + Strong affinity for innovation and a demonstrated ability to solve complex problems + Excellent time-management and organization skills, with the ability to coordinate multiple initiatives, priorities, and implementations of new technologies and products + Strong social skills, with experience working with developers, partners, and customers + Diligent and comfortable multitasking in a dynamic environment with shifting priorities and changing requirements + Excellent communication and technical presentation skills, both internally and externally with customers + Experience in computer networking development, including fields such as Software-Defined Networking (SDN), DPUs, SmartNICs, NIC drivers, OVS/OVN, DPDK, DOCA, network applications/services, networking protocols, hardware acceleration/offloads, edge services Ways to stand out from the crowd: + Experience working with customers and partners to develop strategic solutions + Experience in DOCA development + Hands-on background in Remote Direct Memory Access (RDMA) technology + Hands-on experience in AI workloads, NCCL, CUDA, Congestion Control and performance tuning With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. Your primary responsibility will be customer engineering for NVIDIA Networking products, collaborating closely with hardworking groups of SDK developers, drivers and firmware engineers, DPU architects, and domain experts in security, virtualization, data science, and AI.
NVIDIA
Seattle, WA
Responsible for contributing to multiple source code projects to fulfill NVIDIA requirements with software services + Work and collaborate with engineering managers, architects, designers, and frontend engineers to deliver high quality software + Automate the validation of software solutions with unit and integration tests + Participate in the ownership and health of CI/CD pipelines from dev to production environments + Collaborate with other specialists for feedback on proposed designs and product direction + Openly share successes and failures in a no blame environment What we need to see: + BS in Computer Science, Information Systems, Computer Engineering or equivalent experience + 5+ years of proven experience in large scale software development + Experience building and shipping services on Kubernetes + Background with using and chipping in to open-source projects + Collaborated with teams to write software to support cloud services at scale + Programming experience in a relevant language, e.g. Golang, Python + Communicate design and quality strategy in written, visual, and oral formats + Experience with a wide range of modern infrastructure tools and technologies Ways to stand out from the crowd: + Experience with Kubernetes Cluster API, Terraform, Tinkerbell, and other infrastructure tooling + Practical experience with Azure, GCP, or AWS + Capable of refactoring software to run in systems such as Kubernetes + Ability to discuss and work with CSI, CNI, and CRI and/or familiarity with the CNCF and the tooling across the ecosystem + Upstream contribution in open source projects NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization.
NVIDIA
Seattle, WA
What we need to see: + BS/MS in Computer Science or equivalent experience + Experience in C++ and Python + 5+ years of XR / Robotics related experience + Practical experience solving real world problems with at least one of: robotics, AI, distributed system, media streaming and networking. + Engaging in cross platform development in C++ and python + Diving into the core technologies behind CloudXR, Omniverse and the NVIDIA Isaac platform, exploring ways to optimize performance, reduce latency, and enhancing teleoperation and data collection efficiency.
NVIDIA
Phoenix, AZ
In this role, you will play a crucial part in designing, developing, and maintaining scalable web applications, directly impacting our product's core functionality and user experience. Develop and maintain robust, scalable, and high-performance web applications using modern JavaScript frameworks.