You will drive customer issues concerning InfiniBand/NVLink switch deployments from inception to resolution while developing features and tools to support Enterprise Service offerings. Additionally, you will collaborate with engineering teams to document, recreate, and solve complex technical issues for NVIDIA customers.
Define and guide the global security architecture for cloud and datacenter infrastructure to protect critical AI workloads. Lead and mentor a team of security architects while implementing robust frameworks for multi-tenant isolation and identity-based access controls.
You will build, maintain, and improve CI/CD pipelines, automation, and infrastructure to support software delivery. Additionally, you will serve as the primary point of contact for DevOps issues during India business hours and collaborate with global teams.
You will drive end-to-end performance and scale characterization for the NVIDIA DGX Cloud software stack, including Kubernetes control and data planes. Additionally, you will collaborate with researchers and developers to design automated tests and resolve root causes for performance issues in complex distributed systems.
You will optimize system software for automotive performance platforms and collaborate with cross-functional teams to track key boot and runtime performance benchmarks. Additionally, you will contribute to the development of AI-assisted profiling tools and optimize next-generation stacks on Tegra platforms.
The role involves creating and delivering technical content, such as tutorials and workshops, to educate developers on the CUDA platform. Additionally, the engineer will gather market insights and developer feedback to influence product roadmaps and strategy.
Design and optimize microservices and data pipelines to process massive volumes of autonomous vehicle data. Develop tools and workflows to accelerate data mining, AI training, and Retrieval-Augmented Generation (RAG) patterns.
Lead and develop a team of account managers to expand NVIDIA's presence across federal, state, local, and higher education sectors. Manage go-to-market strategies, pipeline development, and revenue performance while building relationships with key government and research decision-makers.
You will serve as a technical advisor and champion for developers in the CIS region, 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 mapping the ecosystem for growth opportunities.
Build and operate core infrastructure services that power NVIDIA's global AI infrastructure and DGX Cloud deployments. Develop scalable cloud-native platform services while driving operational excellence through automation, monitoring, and incident response.
You will design and operate scalable evaluation systems to improve open-source agent harnesses and benchmark environments. The role involves diagnosing agent failures and partnering with cross-functional teams to implement performance and reliability improvements.
The analyst will craft and implement vulnerability management processes to handle the receipt, resolution, and disclosure of security vulnerabilities across NVIDIA product lines. They will engage with engineering and security teams to drive long-term issue resolution and communicate status to management.
The Account Manager will build strategic relationships with state and local government agencies to drive the adoption of NVIDIA's AI and accelerated computing platforms. They are responsible for managing the full sales cycle, from prospecting and discovery to negotiation and closing, while collaborating with internal teams and channel partners.
Engage with AI-native startups and scaleups to understand their business needs and drive the adoption of NVIDIA AI technology. Lead cross-functional teams to define high-value solutions, build case studies, and represent NVIDIA within the AI ecosystem.
The Director will lead the development and execution of NVIDIA's government relations strategy across Latin America. This includes tracking policy developments, briefing senior executives, and engaging with key policy makers and industry partners to advance business interests.
You will serve as a technical advisor to energy-sector customers, helping them design, deploy, and optimize AI infrastructure on NVIDIA's accelerated computing platforms. This involves conducting architecture reviews, supporting infrastructure design across compute and networking, and creating technical documentation like whitepapers and reference architectures.
You will serve as a trusted advisor to university leaders and research labs, driving the adoption of NVIDIA's accelerated computing platform. You will also collaborate with internal cross-functional teams to execute go-to-market strategies and foster organic business growth within key R1 institutions.
You will build and operate security controls and telemetry for EDA compute, storage, and networking environments. You will also investigate threats, automate enforcement through infrastructure-as-code, and partner with cross-functional teams to ensure secure-by-default infrastructure.
Engage with AI-native startups and scaleups to understand their business needs and deliver high-value NVIDIA AI solutions. Lead cross-functional teams and act as an ambassador to drive demand and adoption across the AI ecosystem.
Lead product engineering for NVIDIA adapter, switch, and interconnect products, and establish and develop contract manufacturer engineering teams. Use production data to identify manufacturing issues, resolve critical problems, and collaborate across functions to characterize products, fix bugs, and improve quality.
The Senior Data Engineer will own and architect data domains, pipelines, and products to support marketing analytics and customer engagement at scale. They will lead cross-functional initiatives, implement data governance, and ensure the reliability and performance of distributed data systems.
You will architect and build global cloud-hosted compute services for AI agents and virtual desktop infrastructure. This role involves leading technical strategy and collaborating with cross-functional teams to translate AI workflows into high-performance platform capabilities.
You will serve as a trusted advisor to partners and customers, mapping complex workloads to NVIDIA's technology stack and co-designing scalable AI architectures. Additionally, you will lead technical engagements, troubleshoot complex issues, and advocate for customer needs while driving platform adoption.
You will serve as a trusted advisor to university and government leaders to drive the adoption of NVIDIA's accelerated computing platform across diverse scientific domains. Additionally, you will manage business growth, forecast revenue, and collaborate with internal cross-functional teams to support research breakthroughs.
The architect will design and implement security features for NVIDIA networking firmware, including trust boundaries and secure boot flows. They will also perform threat modeling and guide engineering teams to ensure firmware meets rigorous security and coding standards.
You will build and maintain AI-ready documentation pipelines, infrastructure, and automation to support developer knowledge delivery. Additionally, you will collaborate with cross-functional teams to encode standards into workflows and capture tribal knowledge to improve self-service documentation.
Provide hands-on technical mentorship to customers and partners on the NVIDIA GenAI stack while guiding the development and deployment of Agentic AI workflows. Collaborate with internal engineering, product, and sales teams to build demonstrations, POCs, and technical collateral to secure design wins.
You will design, develop, and productize autonomous driving perception software components while ensuring system robustness and efficiency. This role involves executing the full software development life cycle, integrating components, and deploying state-of-the-art DNN models to embedded platforms.
The Principal Test Design Staff Engineer will lead the development and deployment of production test solutions for networking platforms, coordinating technical strategies across engineering and operations teams. This role involves guiding test architecture, ensuring security compliance, and collaborating with global manufacturing partners to optimize test coverage and efficiency.
Collaborate with researchers and engineers to enhance Transformer and GNN-based models for relational schemas and heterogeneous graphs. Manage the full lifecycle of ML systems, including architecture design, training, post-training optimization, and inference acceleration.
The Senior Program Manager will oversee manufacturing processes, material readiness, and build schedules while coordinating with procurement, engineering, and contract manufacturers. They are responsible for driving factory mass production teams, implementing process improvements, and managing project documentation and metrics.
Collaborate with customers, partners, and internal engineering teams to design and deliver high-value solutions leveraging NVIDIA technology. Act as a trusted technical advisor while documenting expertise through white papers, blogs, and hands-on developer engagement.
Provide on-site technical support for AI factory deployments, including troubleshooting complex infrastructure issues and validating diagnostic flows. Collaborate with engineering and partner teams to resolve deployment blockers and establish repeatable troubleshooting guidelines.
The role involves managing a designated geographic territory to drive enterprise and commercial revenue through channel partners and OEMs. You will lead executive-level discovery sessions and guide customers through the adoption of NVIDIA's full-stack AI solutions.
Develop a highly optimized inference framework for use on large-scale supercomputers and data centers. Collaborate within an engineering team to innovate on next-generation networking acceleration products.
The role involves providing direct program support to Public Sector leadership by coordinating priorities and tracking key initiatives. You will also focus on process improvement and cross-functional tasking to enhance operational efficiency across core business units.
Drive the Global Public Sector industry business development plan by collaborating with regional sales, marketing, and technical teams. Act as an industry authority to support sales calls, manage account coverage, and foster the adoption of AI platforms within government agencies.
The Senior Account Manager will lead and expand sales accounts within the Hong Kong financial services industry by driving the adoption of NVIDIA's AI platforms. This role involves coordinating with internal technical teams and external partners to implement account plans and deliver sophisticated infrastructure solutions.
Lead the end-to-end planning, design, and deployment of AI/HPC data center infrastructure, ensuring alignment with NVIDIA reference architectures. Oversee construction, commissioning, and integration activities while acting as a key technical liaison for customers and partners.
The Senior Solutions Architect will drive technical engagement with OEM and deployment partners to map complex customer workloads to NVIDIA's AI infrastructure. This role involves co-designing scalable architectures, leading deployment validation, and providing technical guidance to ensure successful platform adoption.
You will be responsible for ensuring the safety of AI-based autonomous system software by defining, implementing, and verifying safety requirements across the software stack. Additionally, you will collaborate with cross-functional teams and external regulators to support safety certification and audit activities.
You will design and implement core JAX components to drive performance on NVIDIA products while collaborating with AI researchers. Additionally, you will build tools to increase the efficiency of teams developing AI-based systems and bridge the gap between research and real-world applications.
Lead a globally distributed customer engineering organization to support internal EDA infrastructure and Kubernetes platforms. Drive the development of AI-based support agents and automation to eliminate operational toil and improve system performance.
You will design and build a sophisticated agent execution framework and core platform APIs for the NeMo Helix AI system. This involves providing technical leadership, mentoring, and ensuring high performance and reliability across distributed systems and Kubernetes workflows.
You will lead strategic sales initiatives for government and smart space sectors, positioning NVIDIA's AI and digital twin platforms as key drivers for public service modernization. This involves building robust pipelines, fostering relationships with senior city leaders, and collaborating with cross-functional teams to accelerate AI adoption.
You will own complex technical investigations and critical escalations for large-scale data center and AI environments. Additionally, you will serve as a trusted technical advisor to strategic customers while collaborating with internal teams to improve product performance and support methodologies.
You will be responsible for managing enterprise banking accounts, driving revenue, and accelerating the adoption of NVIDIA's accelerated computing platform. This involves building strategic partnerships, executing go-to-market plans, and collaborating with internal teams and external partners.
You will act as a trusted advisor to enterprise customers, designing scalable AI architectures and driving the adoption of NVIDIA's generative AI platforms. This involves leading technical engagements, conducting proof-of-concept demonstrations, and collaborating with internal engineering and product teams to deliver full-stack AI solutions.
Develop and maintain high-quality Linux kernel networking drivers for NVIDIA ConnectX and BlueField adapters. Collaborate with global teams to debug complex technical issues and contribute to upstream open-source kernel environments.
You will foster strategic business relationships with key energy delivery partners to enable the adoption of NVIDIA AI and high-performance computing solutions. Additionally, you will collaborate with partner leadership to define enablement plans, facilitate technical PoCs, and drive joint go-to-market strategies.
The Project Technical Delivery Manager will oversee the complete project lifecycle from initiation to close, ensuring technical requirements are met within budget and timelines. They will facilitate technical architecture discussions, manage complex installations, and maintain effective relationships with internal teams and customers.
You will design and deploy sophisticated agentic AI systems for enterprise retail clients using NVIDIA's core technology stack. This role involves building high-performance RAG pipelines, optimizing inference performance, and enabling partner engineering teams through technical workshops.
You will build and operate production software, automation, and tooling to ensure the reliability and scalability of DGX Cloud services. This includes managing inference workloads, defining SLIs/SLOs, and collaborating with cross-functional teams to resolve production incidents.
You will design, implement, and maintain automated test scripts in Python to verify software functionality in networking and virtualization domains. Additionally, you will collaborate with cross-functional teams to manage test environments, analyze defects, and ensure high-quality product delivery.
You will lead and manage OEM technical field teams to ensure the successful execution of new product integrations and end-to-end solutions. This role involves coordinating cross-functional efforts, resolving complex customer issues, and influencing OEM account strategy.
Architect and scale high-performance, distributed AI infrastructure using NVIDIA GPU supercomputers for customers. Lead the integration of NVIDIA technology into HPC architectures and support development activities through POCs and POVs.
You will join the Developer Tools team to implement new data visualization and analysis features for Nsight Systems. You will participate in the full software feature life cycle, from gathering requirements to testing and presenting results to internal users.
Lead and coach a team of Sales Development Specialists to achieve quota attainment and drive pipeline growth across multiple industries. Collaborate with account managers and industry leaders to execute targeted outbound strategies and improve customer engagement.
The manager will lead a team of engineers to operationalize NVIDIA's latest technologies by bridging the gap between prototype models and production-ready deployments. They are responsible for setting priorities, mentoring staff, and serving as the senior technical point of contact for strategic customers during large-scale GPU and AI networking deployments.
The Field Application Engineer will support GPU and networking product reliability, manufacturability, and yield improvement throughout the product lifecycle. This role involves conducting failure analysis, driving corrective actions, and collaborating with cross-functional teams to resolve system-level hardware issues.
The Solutions Architect will serve as a trusted advisor to map complex customer workloads to NVIDIA's technology stack and co-design scalable architectures with VMware. They will also lead technical engagements, troubleshoot complex issues, and drive the adoption of NVIDIA SDKs and platforms across enterprise environments.
The Senior Business Development Manager will drive the Global Public Sector industry business development plan by collaborating with sales, marketing, and technical teams. They will also act as an industry authority to support sales calls, manage account coverage, and cultivate new vertical opportunities in AI adoption.
Drive the integration of NVIDIA's software libraries, models, and frameworks across strategic partner platforms like Google Cloud and DeepMind. Lead cross-functional teams to accelerate critical workloads and build strong technical relationships with executive and engineering stakeholders.
Develop a highly optimized inference framework designed to run on the world's largest supercomputers and data centers. Collaborate with a team to innovate on next-generation networking acceleration products using hardware offloads and RDMA.
You will serve as a technical advisor and champion for the developer ecosystem, driving the adoption of NVIDIA's AI platforms through strategic partnerships. This involves integrating NVIDIA software stacks into partner products and providing technical resources to accelerate innovation in Agentic and Sovereign AI.
Research and develop techniques to accelerate AI workloads on GPU and CPU architectures through in-depth analysis and optimization. Collaborate with technical experts and research teams to influence next-generation hardware and software design while presenting findings to the developer community.
The NPI Engineer will act as the on-site quality representative at contract manufacturers, overseeing end-to-end quality processes for optical transceivers and sub-assemblies. They will also drive root cause analysis for quality incidents and collaborate with cross-functional teams to ensure successful product ramp-up.
You will own the end-to-end security architecture for DGX Cloud, embedding with engineering teams to build secure, scalable systems. Your role involves creating 'paved roads' for security, performing deep-dive threat modeling, and engineering systemic solutions to eliminate classes of risk.
You will define and implement the security architecture for the DGX Cloud platform, ensuring robust protection across hardware, software, and GPU workloads. Additionally, you will lead a team of Principal Engineers and serve as the primary technical liaison to NVIDIA's central security organization.
You will design and manage core attestation cloud services, APIs, and SDKs to ensure the integrity of NVIDIA platforms. Additionally, you will focus on improving operational maturity through SLOs, incident response, and resilient system architecture.
Lead and manage a team of solutions architects and engineers focused on large-scale GPU and AI networking deployments in customer data centers. Drive technical strategy, mentor staff, and collaborate with product and sales teams to influence product roadmaps and ensure high-quality customer delivery.
Lead technical engagements with frontier AI labs to integrate NVIDIA's platform into their research and training pipelines. Influence NVIDIA's product roadmap by identifying technical bottlenecks and defining future workload requirements.
You will drive the architecture and implementation of math library APIs to be LLM-first and easily synthesized by AI agents. Additionally, you will build tools and metrics to measure the quality and impact of LLM-enhanced code generation.
The Senior Solutions Architect will define reference architectures for end-to-end data center solutions and support sales teams in identifying business opportunities for networking products. They will also manage technical accounts, conduct product demonstrations, and provide feedback to engineering teams based on customer requirements.
You will design, develop, and productize autonomous driving perception solutions while integrating software components into functional systems. The role involves executing the full software development life cycle, debugging existing systems, and deploying state-of-the-art DNN models to embedded platforms.
The Senior Account Manager will manage relationships with OEM and AIC partners to drive revenue and market share for NVIDIA's consumer products in Australia and New Zealand. They are responsible for executing go-to-market strategies, managing channel performance, and identifying new business opportunities across gaming, AI, and workstation segments.
You will architect, develop, and debug critical firmware for GPU OOBHUB, focusing on robust peripheral control and secure communication interfaces. Additionally, you will collaborate with hardware architects to define firmware-hardware interfaces and implement high-reliability update mechanisms.
You will serve as a technical advisor to foster the adoption of NVIDIA AI platforms within the healthcare and life sciences developer ecosystem. This involves driving technical enablement, guiding partners through integrations, and providing actionable feedback to internal engineering teams.
You will serve as a technical advisor to foster the adoption of NVIDIA's AI and computing platforms within the EMEA developer ecosystem. This involves collaborating with engineering and product teams to drive technical integrations and influence product roadmaps based on partner feedback.
The Senior Tools Engineer will design and develop production tools, desktop applications, and DCC integrations to improve artist and developer workflows. They will collaborate with cross-functional teams to solve production challenges and implement efficient, reliable software solutions for real-time content creation.
The role involves leading the architecture for cloud-networking and security solutions while designing state-of-the-art system architecture for DPUs and NICs. You will also evaluate new technologies and develop proof-of-concept prototypes to advance datacenter networking and security.
You will serve as a technical advisor and champion for the developer ecosystem, driving the adoption of NVIDIA's AI and computing platforms. This involves integrating the NVIDIA software stack into partner products and collaborating with engineering teams to inform product roadmaps.
Lead the architecture for cloud-networking, including orchestration, provisioning, and security solutions for DPUs and NICs. Design end-to-end system architectures and develop POC prototypes for next-generation data center technologies.
You will build and lead a team to architect and implement security controls for large-scale EDA clusters across on-prem and multi-cloud environments. This involves developing automated security instrumentation and ensuring consistent enforcement of security frameworks without compromising performance.
Lead developer relations and strategic collaborations across the federal quantum research community to drive adoption of NVIDIA's quantum SDKs. Act as a technical bridge between mission scientists and NVIDIA's engineering teams to co-design and productize QPU-GPU integrated systems.
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 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.
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 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 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.
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 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.
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.
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 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.
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.
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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 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 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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
