Manage a team of procurement professionals to support data center build-outs and drive automation across the procurement lifecycle. Develop reporting mechanisms and apply analytical skills to identify trends, mitigate business exceptions, and foster partnerships across a matrixed organization.
You will define and evolve technical approaches for evaluating and improving open agent harnesses across various frameworks and models. Additionally, you will build scalable evaluation systems and diagnose agent failures to drive improvements in reliability, cost, and latency.
Lead the hands-on analysis, optimization, and performance tuning of complex GPU-accelerated systems and AI workloads. Serve as a senior technical authority to guide infrastructure decisions and manage complex technical projects from design through implementation.
You will design, implement, and maintain secure, programmable cloud networking solutions using Open vSwitch, OVN, and Kubernetes. Additionally, you will lead architecture reviews, mentor engineering teams, and ensure the reliability and performance of global GPU cloud infrastructure.
You will own and resolve sophisticated Slurm support cases for production AI and HPC clusters while diagnosing complex issues across the infrastructure. Additionally, you will collaborate with engineering teams to improve system reliability and develop technical documentation and training materials.
You will act as the primary technical expert for customers, driving the adoption of NVIDIA's AI evaluation tools and developing solutions for agentic pipelines. The role involves benchmarking AI systems, analyzing system failures, and collaborating with engineering and sales teams to deliver high-impact AI architectures.
The engineer will build and operate core infrastructure services to support global AI infrastructure and DGX Cloud deployments. Responsibilities include architecting scalable cloud-native services, automating infrastructure provisioning, and ensuring system observability and security.
Build and operate automation for large-scale GPU clusters across cloud and on-prem environments. Develop tools and services for cluster lifecycle operations, including provisioning, monitoring, and repair.
You will architect and deploy AI-powered validation pipelines to enhance the efficiency and scalability of semiconductor design workflows. You will also collaborate with cross-functional teams to identify automation opportunities and establish quantitative metrics for AI impact.
You will manage strategic relationships with software companies to drive the adoption of NVIDIA's AI and computing platforms. This involves providing technical guidance, integrating NVIDIA software stacks into partner products, and fostering co-innovation within the developer ecosystem.
You will define end-to-end reference architectures integrating GPU and networking technologies for strategic customers. Additionally, you will manage technical sales engagements, conduct product demonstrations, and provide field feedback to engineering teams.
You will lead the design and development of a scalable, secure agent compute delivery platform using custom cloud VM solutions. This involves collaborating with cross-functional teams to build infrastructure automation, improve platform observability, and support complex AI workflows.
The Media Relations Lead will manage communications strategies to engage media, influencers, and policymakers regarding NVIDIA's technology and policy positions. They will collaborate with legal, product, and government affairs teams to address critical public policy issues and execute high-impact communication plans.
The architect will lead the design, deployment, and integration of large-scale GPU infrastructure for Public Sector customers. They will serve as a primary technical advisor, managing cluster performance, debugging issues, and aligning product roadmaps with customer needs.
You will profile game engines like UE5 to enhance performance for cloud-based GPUs. Additionally, you will conduct GPU pre-silicon and post-silicon performance profiling and tuning.
The role involves executing the EMEA go-to-market strategy for NVIDIA's Agentic AI Platform across diverse sectors including enterprise, public, and regulated environments. You will act as the primary point of contact for technical guidance, model adoption, and cross-functional collaboration to unblock deployment and drive revenue.
The Account Manager will cultivate strategic relationships with universities and research institutions to drive the adoption of NVIDIA's technology platform. They are responsible for managing the end-to-end sales cycle, from prospecting and discovery to negotiation and closing, while meeting assigned revenue quotas.
Lead strategic business development across industries by identifying high-impact opportunities for NVIDIA's AI and robotics platforms. Orchestrate complex ecosystems and partnerships to drive technology adoption from proof-of-concept to industrial scale.
The Senior Account Manager will collaborate with Retail and CPG clients to understand their business needs and deliver effective technology solutions. They are responsible for developing strategic business plans, managing partner relationships, and identifying new market opportunities within the UK.
You will build and tune high-confidence detection logic across various platforms to identify threats and reduce noise. You will also drive the full detection lifecycle, from design and query development to deployment and operational monitoring.
The Senior Service Delivery Manager will oversee project lifecycles from aspiration to production, ensuring technical solutions meet company standards. They will facilitate technical debates, lead complex installations, and maintain effective relationships with internal teams, customers, and partners.
Design, implement, and maintain large-scale, high-performance storage clusters to ensure reliability and low-latency access for AI/ML workloads. Manage the full lifecycle of storage services through automation, proactive monitoring, and sustainable incident response.
The Senior Account Manager will drive NVIDIA's relationships with AI-native startups and scaleups to accelerate their adoption of NVIDIA AI technology. This role involves leading cross-functional teams to deliver high-value solutions and representing NVIDIA within the broader AI ecosystem.
You will design, develop, and optimize high-performance GPU and CPU accelerated software libraries for various numerical workflows. Additionally, you will provide technical leadership and collaborate with internal and external partners to define feature requirements and technical roadmaps.
The Senior Credit Analyst evaluates customer creditworthiness, manages credit limits, and mitigates financial risk through collaboration with sales and finance teams. They are responsible for monitoring payment trends, resolving credit issues, and ensuring compliance with international trade regulations.
The Senior Solutions Architect will serve as a technical liaison to support partners and customers in the planning, development, and deployment of large-scale AI factories. This role involves reviewing installation plans, conducting pre-deployment audits, and providing hands-on mentorship to ensure infrastructure meets NVIDIA's reference architecture standards.
Research and develop techniques to GPU-accelerate high-performance database, ETL, and data analytics applications. Collaborate with internal teams and external partners to optimize complex data-intensive workloads and influence next-generation hardware and software design.
You will lead the design and development of a scalable, secure agent compute delivery platform using custom cloud VM solutions. This involves collaborating with engineering teams to build infrastructure automation, improve platform observability, and support complex AI workflows.
You will serve as a technical expert assisting customers in building and deploying multimodal AI systems for document intelligence and content analysis. This involves guiding clients through architectural planning, model training strategies, and production-ready deployment using the NVIDIA software stack.
Develop and demonstrate Physical AI solutions while providing technical expertise to Hyperscaler partners and end-customers. Collaborate with engineering, product, and sales teams to optimize GPU-accelerated systems and drive the adoption of NVIDIA technologies.
Lead the inference strategy for EMEA AI customers by identifying performance bottlenecks and architecting high-performance pipelines. You will translate customer deployment patterns into actionable product feedback to influence the development of the NVIDIA AI stack.
You will build and manage relationships within the EMEA Smart Spaces and Local Government ISV ecosystem to drive the adoption of NVIDIA's AI and computing platforms. This involves serving as a technical advisor, creating enablement resources, and collaborating with internal teams to influence product roadmaps and partner success.
You will guide customers in deploying and optimizing large-scale AI inference workloads on multi-node GPU clusters. Additionally, you will collaborate with product teams to improve inference efficiency and lead technical community engagement across EMEA.
You will serve as a technical bridge between NVIDIA's generative AI platform and industry production pipelines, guiding companies in training and deploying image, video, and multimodal models. Additionally, you will optimize generation pipelines and contribute to the developer community through technical workshops and reference demos.
You will serve as a primary technical expert guiding EMEA AI organizations through complex infrastructure and algorithmic challenges in large-scale model training. This role involves bridging research and engineering to optimize training workflows and influence the NVIDIA product roadmap based on customer feedback.
You will be responsible for driving revenue and market share for NVIDIA Data Center products within assigned Federal agencies and the surrounding ecosystem. This involves building strategic partnerships, managing key accounts, and collaborating with internal teams to implement go-to-market plans.
The engineer will support and maintain cloud network infrastructure by remediating critical alerts and triaging production-impacting incidents. They will also collaborate with cross-functional teams to drive operational improvements and manage large-scale IP network technologies.
The Senior Program Manager will own the operating rhythm between internal teams and OEM/ODM partners to ensure successful hardware deployment and operational execution. They are responsible for driving cross-functional alignment, tracking program readiness, and standardizing reporting mechanisms for leadership.
The role involves deploying, managing, and maintaining Infiniband networks for AI Factory infrastructure in Linux environments. You will act as a domain expert, interacting with customers to define and implement large-scale projects while providing technical feedback to internal teams.
You will serve as a technical advisor and advocate for the manufacturing developer ecosystem, driving the adoption of NVIDIA's AI and accelerated computing platforms. This involves creating technical enablement assets, guiding partners through integration, and collaborating cross-functionally to influence product roadmaps.
The role involves deploying, managing, and validating high-performance storage infrastructure within AI factory environments. You will act as a domain expert for customers, providing technical guidance, documentation, and performance improvements.
The Senior Solutions Architect will design, deploy, and maintain large-scale AI/HPC networking infrastructure for customers. This role involves managing the full service lifecycle, including performance monitoring, troubleshooting, and implementing automated provisioning solutions.
Collaborate with AI Native organizations to develop and execute impactful go-to-market co-sell initiatives. Monitor revenue performance and scale operational frameworks to drive success across the partner network.
Lead the EMEA enterprise ISV and cloud go-to-market strategy by driving senior relationships and commercial plans with key partners. Manage co-sell programs, marketplace listings, and field enablement to convert integrations into repeatable revenue and pipeline growth.
You will design and build autonomous LLM agents to perform reconnaissance, exploitation, and evidence capture against NVIDIA targets. Additionally, you will develop verification harnesses and safety mechanisms to ensure offensive agents operate securely and effectively.
You will lead a software engineering team focused on DGX Cloud Kubernetes, partnering with internal teams to develop and scale cloud-based solutions. Additionally, you will present roadmaps to leadership and contribute to open-source communities related to the platform.
The Solutions Architect will lead the planning, deployment, and validation of AI data center infrastructure, including power, cooling, and network systems. They will also provide technical mentorship to the team and drive continuous improvement initiatives to enhance infrastructure efficiency and reliability.
You will be responsible for designing, deploying, and maintaining enterprise-grade Linux environments optimized for high-throughput EDA workloads. Additionally, you will drive automation initiatives and build robust tooling to support a highly available and scalable infrastructure.
The Solutions Architect will serve as a primary technical advisor to research labs and universities, driving the adoption of NVIDIA technology through joint research projects. They will also develop prototypical solutions, deliver technical training, and provide feedback to NVIDIA engineering teams based on research trends.
You will lead the architecture, automation, and operation of Linux and cloud infrastructure to support large-scale AI agent compute platforms. This involves developing automated workflows for provisioning, security hardening, and lifecycle management while collaborating across engineering teams.
You will design, build, and deploy infrastructure services while managing the software life cycle for EDA platforms. Additionally, you will create automation to eliminate manual toil and participate in incident response and on-call rotations.
Develop and deploy custom AI solutions, including distributed training and MLOps pipelines, while acting as a primary technical contact for internal and external customers. Profile and tune large-scale training and inference workloads to optimize performance and reduce operational risk.
You will lead operational readiness efforts for NVIDIA Cloud Partners, ensuring reliable performance for large-scale accelerated infrastructure. This involves building automated validation, observability, and remediation workflows to maintain high-performance AI clusters.
You will serve as a technical advisor and champion for the CIS developer ecosystem, driving the adoption of NVIDIA's AI and computing platforms. This involves collaborating with software providers to integrate NVIDIA's software stack into their products and pipelines while identifying new growth opportunities.
The Account Manager will drive revenue and market share for NVIDIA Data Center products by managing key relationships within the Federal Government and Academia sectors. They will collaborate with internal teams and partners to execute go-to-market strategies and communicate customer needs back to the product business unit.
You will lead and develop a distributed team of senior security and infrastructure engineers to secure large-scale GPU fleets and AI supercomputing environments. The role involves setting technical strategy, driving autonomous security operations, and communicating complex risk themes to executive leadership.
The engineer will build and operate scalable telemetry pipelines and automated infrastructure systems to support GPU cloud services. They will also maintain hardware and software catalogs while standardizing incident management and operational workflows.
Design and build platforms to automate the provisioning, configuration, and lifecycle management of large-scale GPU and CPU compute infrastructure. Develop monitoring and remediation systems to improve the reliability, availability, and utilization of EDA compute environments.
You will architect and optimize AI/ML pipelines for biological foundation models while serving as a trusted technical advisor to pharmaceutical and techbio customers. Additionally, you will build proof-of-concept demonstrations and create technical documentation to enable customers to leverage NVIDIA's accelerated computing platform.
The Senior Security Architect is responsible for designing and implementing robust security frameworks to protect organizational assets. They will oversee the integration of security protocols across complex technical infrastructures.
You will manage strategic relationships with software companies to drive the adoption of NVIDIA's AI and computing platforms through technical integration. This involves serving as a trusted advisor to developers, providing technical resources, and collaborating with cross-functional teams to optimize partner product roadmaps.
You will lead the productization of new GPU boards for datacenter architectures by planning processes, defining test requirements, and optimizing production lines. Additionally, you will collaborate with engineering teams to debug complex hardware and software interactions while ensuring compliance with DFx requirements.
The Senior Manager will oversee the deployment, validation, and performance of large-scale AI and HPC data center projects. They are responsible for leading a multi-layered team of engineers while building strong relationships with internal stakeholders and customers.
Lead initiatives to transform IT Compute Core architecture and deploy core infrastructure services like DNS, NTP, and DHCP across on-prem and cloud environments. Develop tools for data analysis, performance profiling, and monitoring while collaborating with leadership to optimize infrastructure efficiency.
The Senior Solutions Architect will partner with Global Systems Integrators to design and implement enterprise AI solutions using the NVIDIA platform. This role involves building AI agent workflows, conducting technical pilots, and evangelizing accelerated computing to key stakeholders.
The Solutions Architect will partner with academic and research labs to drive the adoption of NVIDIA technology through joint research projects and technical advisory. They will also deliver training, workshops, and technical content while translating research needs into prototypical solutions.
You will design and implement large-scale data center infrastructure solutions while collaborating with cross-functional teams for successful cluster deployments. Additionally, you will be responsible for documenting processes, overseeing third-party vendors, and validating work instructions for data center activities.
The Senior High-Performance Storage Engineer will deploy, manage, and validate storage infrastructure within AI Factory Linux-based environments. This role involves acting as a domain expert for customers and collaborating with internal teams to define and implement large-scale AI projects.
You will develop and implement business plans to drive engagement and adoption of NVIDIA's AI accelerated computing platform within the energy and utilities sectors. This involves managing key partner relationships and leading cross-functional teams to ensure successful AI practice development.
Develop and deploy efficient, performant models and data pipelines for petabyte-scale multimodal data extraction and curation. Collaborate with researchers and ML engineers to scale production pipelines and contribute to foundation model training methodologies.
You will deploy, manage, and validate high-performance storage infrastructure within AI Factory Linux-based environments. Additionally, you will act as a domain expert for customers, providing technical support, documentation, and feedback to internal engineering teams.
The architect will deploy, manage, and validate high-performance storage infrastructure within AI factory environments. They will also act as a domain expert for customers, providing technical guidance, documentation, and performance optimization feedback.
Lead the architecture for cloud-networking and security solutions while designing state-of-the-art system architecture for DPUs and NICs. Collaborate with global teams to develop end-to-end solutions and evaluate new technologies through proof-of-concept prototyping.
Develop and demonstrate AI solutions using NVIDIA technologies while partnering with Hyperscalers like Google Cloud to support key customers. Perform in-depth analysis and optimization of GPU-accelerated systems to ensure peak performance for training and inference pipelines.
You will serve as a technical advisor and champion for the developer ecosystem in the EMEA Energy and Utilities sector, driving the adoption of NVIDIA technologies. This involves building strategic relationships with ISVs, guiding partners through technical integrations, and providing actionable feedback to internal product teams.
Design, develop, and optimize accelerated data processing software libraries for GPU and CPU architectures. Collaborate with internal and external partners to define technical roadmaps and provide leadership to library engineering teams.
You will be responsible for recruiting, enabling, and nurturing ambitious startups across Europe to adopt and scale on NVIDIA's platform. This involves identifying technical opportunities, leading workshops, and collaborating with internal teams to drive ecosystem growth and platform adoption.
Lead the EMEA segment sales team to drive product sales and implement effective market penetration strategies. Collaborate with cross-functional teams to analyze market trends and provide actionable insights for strategic growth.
The role involves leading the EMEA go-to-market strategy for NVIDIA's Agentic AI Platform across diverse enterprise and regulated sectors. You will collaborate with cross-functional teams to drive adoption of AI technologies, refine sales toolkits, and provide expert guidance on model licensing and security.
You will act as a technical advisor to partners, enabling them with NVIDIA's accelerated computing solutions including AI, hybrid cloud, and digital twins. This involves delivering technical presentations, workshops, and proof-of-concepts to drive partner success and go-to-market strategies.
You will design and build agentic AI solutions and tools to automate workflows for the NVIS delivery organization. This involves integrating LLMs with internal systems and data pipelines to improve project visibility and operational efficiency.
You will architect and build foundational security primitives and automated guardrails to protect large-scale AI infrastructure. The role involves designing production-grade security services and integrating them into the CI/CD pipeline to ensure platform integrity.
You will lead and develop a distributed team of security and infrastructure engineers to build scalable security solutions for a massive GPU fleet. The role involves setting technical strategy, fostering a culture of operational excellence, and communicating complex risk profiles to executive leadership.
The role involves deploying, managing, and validating large-scale AI Compute and HPC infrastructure in Linux environments for enterprise customers. You will act as a technical liaison between NVIDIA, partners, and customers to ensure successful system implementation and optimization.
Design and build advanced evaluation environments for frontier deep learning models, including LLMs and agentic systems. Develop novel methodologies to assess model performance and translate evaluation signals into actionable decisions for research and product teams.
The Solutions Architect will design and scale high-performance AI infrastructure for customers while providing technical support for GPU and networking products. They will also manage the product lifecycle and foster technical relationships with key customer accounts.
You will lead SMT process activities and supplier quality management in the Southeast Asia region to ensure adherence to NVIDIA's reliability and performance standards. This involves driving process improvements, managing NPI and mass production builds, and collaborating with cross-functional teams to optimize PCBA manufacturability.
Lead end-to-end project delivery for enterprise data center environments, managing the full lifecycle from strategic alignment to production handover. Facilitate technical discussions, drive solution design, and maintain strong relationships with global internal teams and customers.
You will be responsible for strategy creation, sales account management, and driving revenue growth for enterprise customers like Walmart and Sam's Club. This involves building strategic partnerships, executing go-to-market plans, and evangelizing NVIDIA's platform and technologies.
Analyze High Performance Computing (HPC) applications to identify performance characteristics and optimization opportunities. Collaborate with compiler and application engineering teams to accelerate GPU-based HPC workloads.
Drive technical innovation by developing kernel generation and computational graph optimizations for next-generation GPUs. Collaborate with hardware and software teams to architect future silicon and scale AI workloads for the datacenter.
The Senior Account Manager will develop and execute strategic growth plans for NVIDIA's consumer and edge products with AIC and OEM partners in Thailand. This role involves managing partner relationships, driving revenue performance, and leading go-to-market strategies across gaming, AI PC, and workstation segments.
The Senior Account Manager will lead business development and strategic engagement with a major Silicon Valley account to drive networking and AI solution sales. They will act as the primary liaison between the customer and internal technical teams to manage forecasts, supply, and product roadmap requirements.
You will lead and expand designated sales accounts in Southeast Asia while formulating strategies to drive revenue and customer success. Additionally, you will coordinate infrastructure planning and deployment with cross-functional teams to grow the regional AI ecosystem.
You will drive customer issues with networking adapter and DPU deployments from inception to resolution while developing features and tools for enterprise service offerings. Additionally, you will collaborate with engineering teams to improve the reliability and performance of NVIDIA networking products.
You will lead the technical strategy and architecture for DGX Cloud full stack integration, focusing on the interface between hardware, firmware, and system software. This role involves collaborating cross-functionally to deliver scalable, secure, and high-performance accelerated computing solutions across diverse datacenter environments.
You will design, architect, and implement complex Ethernet networking solutions for data centers while providing technical expertise to support AI and accelerated computing workloads. Additionally, you will develop network automation scripts and collaborate with internal teams to improve product strategy and customer deployment outcomes.
Lead a team of solutions architects and engineers to design, debug, and deploy AI hardware and software technologies in customer data centers. Act as a senior technical point of contact while partnering with product and sales teams to influence product roadmaps and ensure high-quality delivery.
You will serve as a technical advisor to engineering software developers, helping them integrate NVIDIA's accelerated computing, Omniverse, and physics-ML into their simulation pipelines. Additionally, you will partner with sales and business development teams to drive ecosystem success across industrial engineering accounts.
You will design, build, and optimize GPU-accelerated software for deep learning inference frameworks like SGLang and vLLM. Your work involves performance tuning of LLM and Generative AI models across various NVIDIA hardware architectures.
The Factory Planner is responsible for translating demand into executable factory plans by aligning materials, capacity, and manufacturing readiness across partners. They will utilize AI-enabled analytics and automation tools to drive build commits, monitor execution, and improve overall planning efficiency.
You will be responsible for strategy creation, sales account management, and driving revenue growth for Walmart and Sam's Club. This role involves building strategic partnerships and evangelizing NVIDIA's platform and technologies to key stakeholders.
Lead developer relations for quantum computing across federal research programs by driving adoption of NVIDIA's quantum SDKs. Act as a technical bridge between mission scientists and NVIDIA's engineering teams to solve high-impact research problems.
You will design and scale deep learning infrastructure libraries to support autonomous vehicle training on massive GPU clusters. This involves optimizing training pipelines, improving data loader efficiency, and collaborating with research teams to enhance model experimentation.
You will be responsible for defining and implementing chip pad rings, substrate interconnect schemes, and leading the package layout design process. This role involves collaborating with cross-functional teams including circuit, signal integrity, RTL, and system design engineers to ensure robust electrical package performance.
Lead the architecture, design, and operation of NVIDIA's global backbone network to support high-capacity AI-training infrastructure. Automate network infrastructure end-to-end, including circuit provisioning, capacity management, and failure detection.
Provide onsite technical support for large-scale NVIDIA AI datacenter deployments and resolve complex hardware issues. Establish strong technical relationships with customer architects and provide training to sales teams and partners.
You will profile, benchmark, and analyze AI and HPC workloads on GPU and CPU clusters to identify performance bottlenecks. Additionally, you will collaborate with cross-functional teams to develop diagnostic tools and provide actionable performance insights.
Drive growth in the Cisco EMEA channel business through partner development, enablement, and the execution of strategic business initiatives. Collaborate with Cisco channel teams and partners to accelerate pipeline creation and improve market execution for NVIDIA platforms.
Develop and execute a technical strategy to drive the adoption of NVIDIA GPU platforms and AI solutions among startups and software partners in Southern Europe. Act as a technical mentor and evangelist to engage developer communities and influence technical leaders across key industries.
The engineer will perform hardware and software verification and validation to ensure product quality and stability. They will also troubleshoot testing procedures, optimize production jigs, and provide detailed activity reports.
You will serve as a technical advisor and champion for the EMEA AI developer ecosystem to drive the adoption of NVIDIA technologies. This involves collaborating with internal teams and partners to accelerate workloads, provide technical enablement, and influence product roadmaps based on field insights.
You will support the creation, implementation, and verification of AI factories by running and debugging AI/LLM workloads on Linux-based GPU clusters. Additionally, you will collaborate with cross-functional teams to optimize performance, scalability, and observability for customer-ready AI environments.
The role involves bridging cutting-edge AI research with production-grade infrastructure by identifying, prototyping, and integrating agentic system methods. You will also design evaluation harnesses and secure workflows to ensure agent reliability and safety in enterprise environments.
The role involves designing and optimizing large-scale AI infrastructure while collaborating with customers to maximize GPU utilization and workload throughput. You will also profile distributed training and inference workloads to identify bottlenecks and lead technical engagements for high-performance AI systems.
Develop and manage automation software for NVIDIA's GPU Cloud and SuperPod deployments to enable efficient network design and lifecycle management. Collaborate with infrastructure experts to build scalable, zero-touch deployment solutions and integrate with various service APIs.
Drive revenue growth and achieve quota attainment for NVIDIA's networking portfolio across Enterprise accounts. Lead customer-facing discussions to position networking solutions within broader AI and data center initiatives while collaborating with technical teams.
You will develop and execute a strategy for the healthcare robotics developer ecosystem, focusing on spatial intelligence and simulation workflows. Additionally, you will engage with MedTech partners and developers to provide technical guidance, create educational content, and represent the developer voice within NVIDIA.
The role involves partnering with internal customers to ensure successful adoption of DGX Cloud, removing technical blockers, and optimizing workload performance. You will translate complex business and technical requirements into scalable infrastructure recommendations while driving product improvements through customer insights.
Lead and coach a team of Storage Production Engineers to design, deploy, and maintain large-scale, high-performance storage systems. Partner with engineering and AI/ML teams to optimize data pipelines, ensure system reliability, and drive operational excellence.
Drive NVIDIA platform adoption by nurturing strategic partnerships with CAE developers and ISVs while providing technical expertise. Inform product strategy by representing the developer community and leading technical collaborations across internal teams.
Drive NVIDIA platform adoption by nurturing strategic partnerships with CAE developers and ISVs. Inform product strategy by representing the developer community and identifying high-impact technical solutions.
The Solution Architect will partner with government clients to translate mission goals into AI-enabled strategies and deploy technical solutions. They will also mentor partners and customers while building resources to support the adoption of NVIDIA's AI software and hardware technologies.
Lead strategic relationships with cities and public-sector organizations to drive the adoption of NVIDIA's AI platforms and Digital Twin technology. Focus on crafting revenue growth and developing AI factories to modernize public services and urban infrastructure.
Lead the design, implementation, and validation of high-performance data center networks for strategic customers using the PDI framework. Provide technical expertise in Ethernet routing and automation to optimize GPU-enabled AI applications and server infrastructure.
The role involves productizing new GPU boards for datacenter architectures and optimizing production lines for HGX GPU Accelerated Server Platforms. Responsibilities include developing diagnostic tests, ensuring DFx compliance, and collaborating with contract manufacturers to optimize assembly and yield.
Serve as a technical advisor to security companies to drive the adoption of NVIDIA's software stack for AI and Agentic environments. Collaborate with internal engineering and product teams to influence roadmaps based on developer feedback and ecosystem trends.
Own the mechanical aspects of production test fixtures, jigs, and enclosures while overseeing maintenance and calibration across global contract manufacturing sites. Support NPI mechanical readiness and provide technical guidance to ensure production quality and manufacturing excellence.
Analyze HPC applications to improve performance by driving compiler optimizations and library enhancements. Evaluate the impact of NVHPC components and port applications across different platforms and programming models.
Responsible for product engineering of NVIDIA adaptors, switches, and interconnect products. This includes establishing and training CM engineering teams and collaborating with cross-functional teams to resolve bugs and improve product quality.
Lead NVIDIA's engagement with the French automotive ecosystem by building C-level relationships across OEMs and Tier-1 suppliers. Develop multi-year account strategies to drive the adoption of NVIDIA's AI hardware and software platforms.
Create and deliver technical content, tutorials, and workshops to educate the developer community on the CUDA platform. Collaborate with product and engineering teams to provide developer-centric insights and inform the product roadmap.
The manager will lead a team to operationalize NVIDIA technologies, bridging the gap between prototypes and production-ready deployments. Responsibilities include managing deployments, resolving obstacles, and collaborating with engineering teams.
Design and optimize GPU-accelerated software for deep learning inference, focusing on LLM and Generative AI models. Contribute to open-source frameworks and libraries like vLLM and SGLang to improve model serving pipelines across NVIDIA accelerators.
Design and evaluate routing policies for LLM traffic and build agentic benchmarks to measure algorithm quality. Collaborate with engineering teams to integrate software across the NVIDIA accelerated serving stack and contribute to open-source repositories.
Lead the definition, positioning, and go-to-market strategy for AI physics products, models, and frameworks. Collaborate with engineering and marketing teams to translate technical capabilities into customer value and partner enablement assets.
Support SLT NPI manufacturing activities from product bring-up through mass production. Develop automated test systems, thermal solutions, and leverage AI technologies to improve testing efficiency and yield.
Define and drive structural test plans for baseboards and systems to detect SMT, PCB, and component issues early. Collaborate with cross-functional teams and suppliers to develop automated test infrastructure and hardware solutions.
Provide onsite technical engagement and support for large-scale NVIDIA AI datacenter deployments. Act as a technical specialist for GPU and networking products to support sales account managers and establish relationships with customer architects.
Lead the development of safety architecture and requirements for AI-powered autonomous driving platforms. Perform complex safety analyses using qualitative and quantitative methods to ensure hardware and software fault metric compliance.
Lead the design and development of end-to-end reference system stacks for 5G/6G baseband systems. Optimize CPU, GPU, and NIC sub-systems to ensure low-latency and maximum throughput while collaborating with partners and customers.
Build and maintain automated infrastructure across bare-metal, virtualized, and containerized environments. Drive continuous improvements in CI/CD pipelines and provide automation support for development and verification teams.
Provide onsite technical engagement and support for large-scale NVIDIA AI datacenter deployments. Act as a technical specialist for GPU and networking products to support sales and establish relationships with customer architects.
Define and drive NVIDIA's JAX strategy to ensure peak performance across heterogeneous supercomputing platforms. Lead and mentor a high-performing engineering organization while coordinating contributions across the JAX ecosystem and partnering with external open-source projects.
Lead performance and scalability analysis for the Kubernetes-based accelerated runtime stack to optimize AI infrastructure. Design architectural changes for the Kubernetes control plane and contribute to open-source projects to enable hyperscale AI workloads.
Define high-level SoC subsystem architecture for LPU products and convert requirements into detailed architectural specifications for uncore and I/O. Collaborate with IP and software teams to build functional models and drive tradeoffs in bandwidth, power, and latency.
Develop full-spectrum visibility and observability for HPC systems and AI factories to ensure optimal performance. This includes running validation tools, building telemetry surfaces, and collaborating across teams to transform complex data into actionable insights.
Deploy, manage, and maintain large-scale AI infrastructure for customers as a domain expert. Collaborate with internal teams to provide feedback, document workarounds, and implement AI Factory projects.
Research and implement model architecture improvements to enhance video generation fidelity and human-centric quality for world foundation models. Translate research results into production-grade checkpoints and benchmarks to improve physical AI and simulation.
The role focuses on owning the mechanical aspects of production test fixtures, jigs, and enclosures across global contract manufacturing sites. It involves managing maintenance, calibration, and NPI mechanical readiness to ensure high-volume manufacturing excellence.
Lead the GeForce business by managing AIC/OEM partners and distributors to drive sales growth and market dominance. Develop end-user demand generation programs and collaborate with gaming ecosystem partners to increase brand preference.
Lead the growth of the Federal Physical AI ecosystem by driving the adoption of NVIDIA's AI and computing platforms through strategic partnerships. Collaborate cross-functionally to develop go-to-market resources and provide actionable field insights to influence internal product roadmaps.
Architect, implement, and optimize production-grade GPU solutions for the cuEST quantum chemistry library. Collaborate with the broader community and internal teams to drive the adoption and development of GPU-accelerated electronic structure computations.
The role focuses on enabling AI startups and enterprise customers to accelerate their applications using NVIDIA SDKs and technologies. This includes creating high-quality technical content, tutorials, and training materials to drive adoption across the developer ecosystem.
Partner with engineering and sales teams to secure design wins and optimize ML/DL models for financial services clients. Develop technical collateral and proof-of-concepts to accelerate high-performance computing workloads in capital markets.
The role focuses on building a pipeline of new opportunities for NVIDIA's Nordic sales teams through lead management and demand generation. This includes identifying prospects via phone, email, and LinkedIn, and collaborating with marketing and sales teams to convert leads.
Develop energy-specific applications and platforms using NVIDIA technology to serve the Oil and Gas, Renewables, and Power Utilities sectors. Act as a technical advisor to partners and customers, bridging the gap between industry teams and technical implementation.
Collaborate with internal and external teams to define system requirements for fault-tolerant quantum computing. Develop novel approaches for real-time quantum error correction and calibration across various qubit modalities.
Maintain large-scale HPC/AI clusters and develop automation tooling for deployment, monitoring, and resource consumption. Collaborate with customers and internal teams to analyze and implement large-scale networking projects.
Design and deploy Agentic AI applications to automate telecommunications network operations using generative models and RAG pipelines. Provide technical guidance to strategic partners and translate integration challenges into reference architectures for the NVIDIA accelerated computing stack.
Build and support large-scale AI/HPC infrastructure for customers, focusing on performance, reliability, and real-time monitoring. Collaborate with internal teams to refine services and implement large-scale networking projects.
Lead research in AI for quantum algorithm discovery and drive technical collaborations with supercomputing centers and QPU builders. Develop innovative quantum-classical applications and publish impactful research to drive NVIDIA's quantum product adoption.
Manage NVIDIA Interconnect products by ensuring flawless engineering implementation, maintenance, and yield management. Coordinate with manufacturing partners and cross-functional teams to resolve product failures and scale capabilities.
Lead the research, design, and implementation of security architectures for next-generation NVIDIA Networking products. Collaborate with cross-functional teams and external partners to develop hardware security primitives and trusted platforms.
The Senior Product Engineer will manage board product lifecycles, including yield management, manufacturing process optimization, and failure resolution. They will collaborate with cross-functional teams to ensure high-quality product execution across global contract manufacturing sites.
Manage end-to-end production infrastructure supply chain from NPI to mass production delivery. Coordinate capacity management, risk assessment, and maintenance activities across multiple production sites.
The role involves guiding partners in adopting end-to-end Agentic AI solutions and collaborating with customers and partners to deploy AI solutions at scale. Solution Architects will also assist with demos, proof-of-concepts, and knowledge sharing.
The Project Technical Delivery Manager will oversee the complete project lifecycle from initiation to close, ensuring technical requirements are met within budget. They will facilitate technical architecture decisions, manage complex installations, and maintain effective relationships with stakeholders and customers.
You will serve as a technical SME to design developer tools, APIs, and workflows for chemistry and materials science. You will also collaborate across research and engineering teams to shape the NVIDIA ALCHEMI software stack and represent the company at scientific conferences.
The researcher will identify hardware vulnerabilities on SoC and GPU designs and develop advanced security tools and techniques. They will also guide the integration of security mitigations and conduct research into side-channel, fault, and physical attacks.
Primary responsibilities include building and operating AI/HPC infrastructure for new and existing customers. The role involves supporting operational and reliability aspects of large-scale AI clusters.
Maintain large scale computational and AI infrastructure, focusing on monitoring, logging, and workload orchestration. Serve as a key technical resource, developing and documenting standard methodologies and operational guidelines.
This role involves researching and developing techniques to optimize key Cloud and HPC CPU workloads specifically on NVIDIA's CPU, requiring in-depth analysis for current and future generations. Responsibilities also include engaging with the developer community, guiding framework developers, and contributing directly to their software stack or developing reference code.
This role focuses on redefining AI hardware development methodology by inventing next-wave techniques, pioneering AI-driven automation for sophisticated ASIC conception, exploration, and closure. Responsibilities include taking a comprehensive view of the ASIC lifecycle to identify bottlenecks where automation and AI can improve convergence and turnaround time.
The engineer will take a comprehensive view of the ASIC development lifecycle to identify bottlenecks where automation and AI can improve predictability and turnaround time. They will also establish quantitative metrics to measure efficiency and serve as a technical catalyst by sharing best practices and mentoring engineers on emerging AI-enabled techniques.
As a Senior Formal Verification Engineer, you will verify ASICs using formal verification tools and define the verification scope to ensure correctness. You will collaborate with various teams to resolve design issues and improve verification methodologies.
As a key member of the ASIC Verification team, you will verify the design and implementation of the inference accelerator. You will collaborate with architects, designers, and verification teams to ensure the correctness of the design.
As a Senior Formal Verification Engineer, you will verify ASICs using formal verification tools and define the verification scope to ensure correctness. You will collaborate with various teams to improve methodologies and deliver high-quality results on schedule.
Develop automation for deploying Kubernetes clusters for streaming media use cases and monitor and manage these clusters. Collaborate with other NVIDIA R&D teams globally in a fast-paced environment.
