3,028 Results for

NVIDIA Corporation Jobs in the United States

Jobs

Redmond, WA30+ days ago

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/) .

Redmond, WA30+ days ago

What we need to see: + BSEE or equivalent experience (MSEE Preferred) and 12+ years of technical sales, business development or product Management + A proven understanding of the business issues of large CSP, accelerated Computing/ Data Center technology/ Deep learning & machine learning. This full-time position requires strong technical background and close working relationships with CSP organizations, NVIDIA Solution Architects, Business Units, and Developer Relations, to drive revenue and partnerships for the company through adoption of NVIDIA's accelerated platforms.

Seattle, WA30+ days ago

This person should have the ability to shift easily from working with senior level executives and strategic decision makers to category managers and buyers both inside and outside the company. + Excellent communication skills and ability to persuade -- using simple communications that convey sophisticated concepts in a compelling, concise, and creative way.

Seattle, WA30+ days ago

Technical depth in AWS cloud infrastructure and Amazon developer tooling, including GenAI model deployment, robotics simulation and autonomy stacks, high-performance cloud computing, AI/ML training and inference, and Amazon-native frameworks such as SageMaker, Bedrock, and EMR, with contributions to product integrations and software libraries. Ways to Stand Out from the Crowd: + Hands-on experience building or optimizing vertical-specific solutions, such as GenAI inference pipelines on EC2 P5/G6 instances, robotics simulation, NVIDIA NIM microservices integrated with Amazon Bedrock, or large-scale ML training on EKS with GPU-optimized node groups.

Redmond, WA30+ days ago

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.

Seattle, WA30+ days ago

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.

Redmond, WA30+ days ago

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.

Redmond, WA30+ days ago

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.

Seattle, WA28 days ago

Proven experience developing and debugging network operating systems (NOS) and routing/switching protocols used in AI data centers (for example BGP, ECMP, EVPN/VXLAN). + A Bachelor's, Master's or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering, or a related field (or equivalent experience).

Seattle, WA26 days ago

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) .

Redmond, WA25 days ago

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.

Redmond, WA22 days ago

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! 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.

Remote, WA30+ days ago

Remote

What you'll be doing: + Lead, 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 + Engage in and improve the whole lifecycle of services-from inception and design through deployment, operation and refinement + Support services before they go live through activities such as system design consulting, developing software tools, platforms and frameworks, capacity management and launch reviews + Maintain services once they are live by measuring and monitoring availability, latency and overall system health + Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity + Practice sustainable incident response and blameless postmortems + Be part of an on call rotation to support production systems What we need to see: + BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience + 16+ years of experience with Infrastructure automation, distributed systems design, experience with design, develop tools for running large scale private or public cloud system in Production + Experience in one or more of the following: Python, Go, Perl or Ruby + In depth knowledge on Linux, Networking and Containers Ways to stand out from the crowd: + Interest in crafting, analyzing and fixing large-scale distributed systems + Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive + Ability to debug and optimize code and automate routine tasks + Experience in using or running large private and public cloud systems based on Kubernetes, OpenStack and Docker Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. SRE at NVIDIA ensures that our internal and external facing GPU cloud services run maximum reliability and uptime as promised to the users and at the same time enabling developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency and performance.

Seattle, WA30+ days ago

You will play a technical lead role in designing scalable cloud services that integrate with diverse systems including GPU telemetry in datacenters, and enabling operational automation across global cloud operations. What You'll Be Doing: + Act as technical lead for a team of software engineers designing cloud services backed by databases and data warehouses.

Redmond, WA15 days ago

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.

Redmond, WA30+ days ago

Docker, OCI), orchestration frameworks, and logging/telemetry backends with Kubernetes monitoring stacks with tools such as Prometheus, Loki and Grafana + Experience with modern UI development in React and Node.js or similar frameworks. + Development experience with distributed systems and concurrent applications, especially in a Kubernetes environment + Ability to quickly understand unfamiliar technical domains, identify core problems, and translate ambiguous requirements into actional engineering plans.

Seattle, WA13 days ago

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/) .

Seattle, WA12 days ago

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) .

New!

Redmond, WA6 days ago

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.

New!

Remote, WA6 days ago

Remote

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.

Santa Clara, CA10 days ago

What we need to see: BS (or equivalent experience) in Electrical Engineering, Computer Engineering, or related fields with 7+ years of experience in FPGA prototyping, or MS with 5+ years of proven experience in FPGA prototyping. Ways to stand out from the crowd: Experience with carrying out independent as well as collaborative debug tasks and ability to quickly triage and root-cause issues is a major plus.

Santa Clara, CA30+ days ago

As a member of our team, you will need to combine skills in hardware modeling and verification with a deep understanding of GPU architecture, operating systems, and application performance analysis to innovate new methods of hardware profiling that yield more meaningful and accessible performance insights. NVIDIA's GPU Architecture Group is looking for architects to contribute to the design of our proprietary profiler subsystem, the apparatus embedded in every GPU that enables our profiling and monitoring tools to capture data and provide feedback for performance optimization.

Durham, NC30+ days ago

We are looking for a researcher who can move fluidly from open-ended research questions to application within working systems: someone who can discover novel failure modes, build rigorous evaluation harnesses, prototype adversarial and defensive techniques, and turn findings into practical mitigations for engineering teams. You will build new methods, tools, evaluations, and proofs of concept that help NVIDIA understand and reduce security risk across AI models, AI platforms, autonomous agents, cloud services, developer tooling, and accelerated computing systems!

30+ days ago

Each bringing together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. Demonstrated track record of leading data center products across the entire lifecycle, spanning inception, pre-silicon development, post-silicon bring-up, manufacturing, and deployment.

Santa Clara, CA30+ days ago

We work closely with internal leaders in Software, Hardware, Marketing and Operations to ensure the SW team delivers outstanding products while operating across multiple functional units and all levels of management to achieve Time-To-Market. As a part of the team, your knowledge of driver and firmware development processes and priorities will enable you to swiftly make the course adjustments needed to keep these complex projects on track.

santa clara, CA30+ days ago

The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Experience with fine-tuning large language models, building advanced multi-agent systems, RAG pipelines and vector databases.

Santa Clara, CA30+ days ago

Today, we're tapping into the unlimited potential of AI to define the next era of computing, an era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand and engage with the world! What youll be doing: Responsibility to coordinate between all project stakeholders such as marketing, engineering teams, operations, and external silicon partners from initial requirements definition through silicon delivery and production.

Durham, NC10 days ago

Lead and coordinate partner execution against the worldwide sales strategy - collaborating closely with a cross-functional team of four (Product BU, Product Marketing, OEM, and Regional Sales) and supporting executive alignment with partners. Collaborate with Partner Marketing on go-to-market strategy - contribute to sales positioning, messaging, MDF strategy, and Lighthouse Account (LHA) programs, helping partners reach their goals.

MA30+ days ago

TX10 days ago

What you will be doing: NVIS Datacenter Engineering and planning: Collaborate with other teams to plan and implement data center infrastructure solutions based on NVIDIA Datacenter reference architecture, including power distribution, cooling systems, network architecture, server hardware, and storage systems. Conduct pre-deployment planning including reviewing cluster and data center architecture, plan network port mapping and fiber optic cabling BOM, identify potential risks, train vendors and find areas for improvement.

Santa Clara, CA30+ days ago

Austin, TX30+ days ago

Santa Clara, CA30+ days ago

Design APIs that prioritize user productivity, providing a "native" feel for developers accustomed to modern scientific computing and deep learning frameworks. What you'll be doing: As a core contributor to the CUTLASS project, you will use your expertise in systems programming and API design to create a world-class developer experience for GPU programming and kernel delivery.

Austin, TX15 days ago

Advising upstream engine integrations involving vLLM, TRT-LLM, and SGLang in partnership with NVIDIA's Dynamo and NIM teams to maintain AIPerf's relevance across emerging hardware, workload categories, and inference configurations. What you'll be doing: Driving the technical roadmap for AIPerf's core infrastructure: load generation, ZMQ-based microservices, GPU telemetry (DCGM/PyNVML, Prometheus metrics, statistical confidence intervals, and Kubernetes-native deployment.

Santa Clara, CA9 days ago

What you'll be doing: As a key member of the NVLink Fusion design team, you will analyze the architectural requirements, perform the trade-off analysis for implementation, and deliver high performance, area and power efficient RTL Blocks. We have some of the most forward-thinking and hardworking people in the world working for us, and, due to outstanding growth, our special engineering teams are growing fast.

Hillsboro, OR9 days ago

Do you want to help drive the development of CPU technology for architectures used for artificial intelligence (AI) / deep learning (DL), high-performance computing (HPC), cloud service providers (CSP), gaming, virtual reality, and autonomous vehicles? The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader technology stack, enabling faster AI model training, agentic use-cases, efficient data processing, and scalable cloud deployments.

Santa Clara, CA30+ days ago

This role owns rack-level architecture definition and involvement, end to end power modeling and simulation for advanced Datacenter power and energy scheme, and power shelves, busbars, cable vendor management. You ensure the successful delivery of power-related engineering programs by modeling and simulation efforts, coordinating across power architects, power validation, firmware, mechanical teams, and suppliers management.

CA15 days ago

Santa Clara, CA17 days ago

This leader will shape the roadmap for scalable system software that automates GPU management at scale, drive execution across teams and functions, and partner closely with architecture, security, product, and developer platform leaders to deliver reliable, high-performance software that powers the next generation of accelerated computing. The ideal candidate combines deep systems expertise with strong organizational leadership, technical judgment, and builds teams that deliver sophisticated platform software at scale.

Santa Clara, CA9 days ago

What you will be doing: Work in the Board Level Reliability lab environment and set up functional test hardware and software for various NV products, including large server systems, and perform functional validation for GPU/Tegra products. Conduct advanced failure analysis using techniques such as CSAM (C-Scan Acoustic Microscopy) and X-ray imaging to detect internal defects, delamination, voids, and structural issues.

Santa Clara, CA17 days ago

Manage operational perf of FA at CMs, ensuring partner achieve key perf indicators including FA cycle times, fault duplication rates and fault isolation rates. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits.

Santa Clara, CA30+ days ago

$184,000–$287,500 Per Year

As a Solutions Architect, you will serve as a key technical expert bridging NVIDIA's groundbreaking GPU and NVLink technology designs as well as all of our software solutions directly between engineering and field teams supporting customers with the most demanding requirements. Work closely with field teams supporting customers to ensure successful first deployments with new products, including new network architectures and topologies.

Austin, TX17 days ago

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. NVIDIA is seeking extraordinary power engineers to design hardware accelerators and processors on our next-generation mobile, embedded and datacenter platforms.

Austin, TX10 days ago

Santa Clara, CA17 days ago

Ways to stand out from the crowd: Experience designing and operating multi-agent pipelines in production, including handling non-deterministic failures, retry logic, and tool-call error recovery". Today, we're tapping into the unlimited potential of AI to define the next era of computing - an era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.

Santa Clara, CA17 days ago

MA8 days ago

If you are passionate about LLM inference hardware, want to contribute at the deepest levels to the state of the art, and have a proven record of C++ hardware modeling experience, this role may be perfect for you! 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.

Santa Clara, CA17 days ago

NVIDIA's Silicon Co-Design Group sits at the crossroads of architecture, silicon, systems, and manufacturing, where first-principles thinking and engineering judgment at the highest level translate directly into product outcomes at scale. Specify ATE and SLT voltage, frequency, and timing conditions that capture worst-case transient VF windows - making it unambiguous whether a marginal defect or timing violation is detected or escapes at every manufacturing stage.

Santa Clara, CA17 days ago

What we need to see: Experience in two or more of the following areas - Server architectures, test equipment, board/PCB-design, SMT, assembly, board or post-Si validation, product engineering, design or validation of high speed interfaces (like PCI-E / DP / HDMI / USB), Power-Integrity, Thermal characterization, complex test setups. Work with cross-functional teams (including Hardware Design, Software, Manufacturing, Quality / Reliability, Application Engineering and Marketing) to achieve fast-paced delivery schedules on groundbreaking products.

Santa Clara, CA17 days ago

Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionised parallel computing - with the GPU acting as the brains of computers, robots, and self-driving cars that can perceive and understand the world. Lead research and development of new PCB technologies, interconnect structures, and materials required for new products, product performance improvements, and cost reductions, ahead of engineering demand.

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NVIDIA Corporation Jobs in the United States

Senior Software Engineer, Quantized Inference NVIDIA

Strategic Account Manager - CSP NVIDIA

Senior Account Manager - Cloud Service Provider NVIDIA

Developer Relations Manager, Cloud Service Provider NVIDIA

Senior Performance Compiler Engineer - Triton NVIDIA

Principal Technical Program Manager - Networking NVIDIA

Senior Software Engineer, AI Resiliency NVIDIA

Senior Quantum Error Correction Research Scientist, Applied Research NVIDIA

Principal Software Engineer - Networking Hyperscale Engineering NVIDIA

Research Scientist, Robotics Research - PhD New College Grad 2026 NVIDIA

Solutions Architect, AI and ML NVIDIA

Senior Quantum AI Research Scientist, Applied Research NVIDIA

Distinguished Site Reliability Engineer - Cloud NVIDIA

Lead Software Engineer, Fleet Management - DGX Cloud NVIDIA

Senior Deep Learning Engineer NVIDIA

Principal Engineer, Data Center Power Software NVIDIA

Senior Firmware Engineer, NIC Firmware NVIDIA

Senior Robotics Research Scientist NVIDIA

Solutions Architect, Infrastructure NVIDIA

Senior Software Engineer - Accelerated Kubernetes Runtime Team NVIDIA

Senior FPGA Prototyping Platform Engineer NVIDIA Corp

Senior GPU Architect NVIDIA Corp

Senior AI Security Researcher NVIDIA Corp

Director, Rack Scale Software Architecture NVIDIA Corp

Software Program Manager, New Product Introduction NVIDIA Corp

Senior Applied LLM Engineer, AI - Chip Design NVIDIA Corp

Hardware Program Manager - Custom Silicon NVIDIA Corp

Segment Sales Leader, Agentic Platforms NVIDIA Corp

Senior GPU Architect NVIDIA Corp

Solutions Architect, Data Center Infrastructure - NVIS NVIDIA Corp

Director, Rack Scale Software Architecture NVIDIA Corp

Director, Rack Scale Software Architecture NVIDIA Corp

Senior AI Frameworks Engineer NVIDIA Corp

Engineering Manager, Inference Benchmarking - AI Perf NVIDIA Corp

Senior Digital Design Engineer NVIDIA Corp

Senior CPU Performance Architect NVIDIA Corp

Senior Datacenter Power Design and Modeling Engineer NVIDIA Corp

Engineering Manager, Inference Benchmarking - AI Perf NVIDIA Corp

Senior Director, System Software Engineering - DGX Cloud NVIDIA Corp

Test and Failure Analysis Technician NVIDIA Corp

Systems Quality and Reliability Engineer - LPU NVIDIA Corp

Senior Solutions Architect - Cluster Design and Architecture NVIDIA Corp

Senior ASIC Power Engineer NVIDIA Corp

Segment Sales Leader, Agentic Platforms NVIDIA Corp

Senior Systems Software Engineer, Machine Learning NVIDIA Corp

Senior ASIC Power Engineer NVIDIA Corp

Senior Deep Learning Hardware Modeling Architect - LPU NVIDIA Corp

Principal Performance and Manufacturing Architect NVIDIA Corp

Board Product Development Engineer NVIDIA Corp

Senior PCB Engineer NVIDIA Corp

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