NVIDIA

Technical Program Manager

• Own the full lifecycle of large-scale, multi-phase technical programs for both GFN and GDN – from ideation through requirements, design, launch, and iteration.
• Work closely with Engineering (infrastructure, backend, client), Product, Data Center Operations, SRE, Capacity Planning, QA, and Partner teams (games publishers and app developers).
• Define clear, actionable technical requirements that align with product goals.
• Establish and maintain SLIs/SLOs/SLAs, incident response plans, and operational playbooks for a 24/7 global service.
• Identify technical and program-level risks (capacity, latency, partner dependencies), propose mitigations, and drive decision-making with stakeholders.
• Liaise with game publishers, app creators, and external engineering teams; help integrate their build pipelines into NVIDIA’s streaming infrastructure.
• Plan and execute launches (new features, new regions, capacity expansions) with cross-team alignment; lead launch readiness reviews.
• Drive process improvements across product delivery, streaming performance, operational efficiency, and partner workflows.
• Communicate program health, risks, tradeoffs, and decisions to senior leadership with clarity and data-backed insights.

Technical Program Manager, Graphics Delivery Network

Full-stack Engineer

• Enhance simulation runtime and memory consumption through innovative optimization techniques.
• Improve the quality of the simulation as a software product, ensuring robustness and reliability.
• Expands the simulation versatility to accommodate new various and complex user use cases and bleeding-edge requirements.
• Design and expose the simulation as a service to facilitate easier access for different stakeholders.
• Integrate a new simulation management system, making simulated experiments data accessible to all users.
• Design and develop a CI/CD infrastructure for our complex networking simulation tool, ensuring efficient deployment and smooth integration processes.

Senior Software Developer

Engineer

• Ensure end-to-end assembly process readiness for CPO products at NV manufacturing partners.
• Collaborate closely with RnD, PE and Operations to ensure robust manufacturing capabilities and reliability of CPO products.
• Yield analysis monitoring and drive continues improvement initiatives for NPI production lines, ensure optimal yield and efficiency to achieve NVIDIA capacity and cost target.
• Maintain products’ quality by improving design and manufacturing process as well as equipment stability.
• Provide onsite engineering support: technical ownership and support for process or equipment issues.

Senior Co-packaged Optics Process Engineer

Recruitment

• Leading and enabling our recruitment team to attract exceptional talent across the EMEA region
• Lead, coach, and develop a high-performing EMEA talent acquisition team
• Define and execute the EMEA recruiting strategy aligned to business goals
• Partner closely with hiring leaders and cross-functional business teams to understand talent needs
• Collaborate deeply with HRBPs, HR leadership, Compensation Partners, L&D, and global program teams
• Drive an exceptional candidate, hiring manager, and recruiter experience
• Lead all aspects of full-cycle recruitment operations
• Champion recruitment technology, analytics, and employer branding

Director, Recruitment – EMEA

DevOps Engineer

• Recruit, develop, and inspire a team of Site Reliability Engineers, fostering a strong culture of collaboration, ownership, and technical excellence.
• Provide mentorship, guidance, and career development opportunities to help your team grow.
• Establish and enforce SRE standard practices, including Service Level Objectives (SLOs), Service Level Indicators (SLIs), error budgets, and robust incident management processes.
• Drive continuous improvement in system reliability, availability, and performance.
• Collaborate closely with engineering and product teams to design, build, and deploy highly scalable, fault-tolerant, and performant cloud services.
• Champion architecture reviews and ensure operational considerations are embedded from inception.
• Lead initiatives to eliminate toil by driving automation across the entire service lifecycle, including provisioning, deployment, monitoring, incident response, and capacity management.
• Implement comprehensive monitoring, alerting, logging, and tracing solutions to provide deep insights into system health and performance.
• Champion the use of data-driven approaches to identify potential issues before they impact users.
• Oversee incident response, ensuring rapid identification, mitigation, and resolution of production issues.
• Lead blameless post-mortems, fostering a culture of learning and continuous improvement based on incidents.
• Develop and implement strategies to improve platform scalability and performance to accommodate growing demand while ensuring efficient performance.
• Partner closely with various engineering teams (development, infrastructure, security), product management, and customer success to align on priorities, communicate service health, and drive successful product launches.
• Ensure the implementation of security standards and compliance requirements across all operational aspects of the cloud platforms.
• Provide leadership and support for on-call rotations, ensuring effective incident response and knowledge sharing.

Manager, Site Reliability Engineer – DGX Cloud

Operations

• Various Architectural Work: define and drive the technical implementation for DGX Cloud operations practice for GPU fleet lifecycle.
• Collaborate on Cross Domain Disciplines: drive the technical strategy and awareness for best practices and technical capabilities into DGX Cloud engineering practices.
• Accelerate Integration: Guide the technical delivery into DGX Cloud across all delivery environments: enterprise, public cloud, and high security, isolated, sovereign.
• Engage Stakeholders: Collaborate with customers, infrastructure providers, and partners to ensure NVIDIA’s solutions set the industry standard for operational excellence.
• Full Software and System Lifecycle: From ideation to architecture, design, development, deployment, operations, and full lifecycle management, lead all technical aspects of planning and continuous evolution of large technical scope.

Distinguished Engineer – GPU Fleet Operations Automation

Production Engineer

• Design, implement, and support large-scale storage clusters, ensuring scalability, high availability, and data integrity.
• Develop and maintain storage monitoring, logging, and alerting systems to ensure proactive detection and resolution of performance issues.
• Work with AI/ML workloads to optimize storage architectures for low-latency access, efficient caching, and high-throughput performance.
• Improve the lifecycle of storage services – from inception and design to deployment, operation, and continuous optimization.
• Support storage services before they go live through activities such as system design consulting, developing automation frameworks, capacity management, and launch reviews.
• Maintain production storage infrastructure by monitoring availability, latency, and system health, leveraging predictive analytics and AI-driven automation.
• Optimize storage efficiency through compression, deduplication, tiering strategies, and intelligent workload placement.
• Scale storage systems sustainably using AI/ML-driven automation, policy-based tiering, and dynamic data migration techniques.
• Ensure data security and compliance by implementing encryption, access controls, and auditing mechanisms for storage systems.
• Practice sustainable incident response and blameless root cause analysis.
• Be part of an on-call rotation to support storage and production systems.

Senior Storage Production Engineer – DGX Cloud

Artificial Intelligence

• Support day-to-day operations of production on-premises and multi-cloud AI/HPC clusters, ensuring system health, user satisfaction, and efficient resource utilization.
• Directly administer internal research clusters, conduct upgrades, incident response, and reliability improvements.
• Develop and improve our ecosystem around GPU-accelerated computing including developing scalable automation solutions.
• Maintain heterogeneous AI/ML clusters on-premises and in the cloud.
• Support our researchers to run their workloads including performance analysis and optimizations
• Analyze and optimize cluster efficiency, job fragmentation, and GPU waste to meet internal SLA targets.
• Support root cause analysis and suggest corrective action.
• Proactively find and fix issues before they occur.
• Triage and support postmortems for reliability incidents affecting users or infrastructure.
• Participate in a shared on-call rotation supported by strong automation, clear paths for responding to critical issues, and well-defined incident workflows.

AI and ML HPC Cluster Engineer

• Architect, design, and develop next-generation technology in network acceleration
• Work with best-in-class technical leaders
• Engage with customers and architects to understand requirements
• Collaborate with engineering teams that develop applications and lower layers

Senior Software Engineer – DOCA

Hardware Engineer

• Support the integration of our latest Network Interface Cards (NICs) with major cloud providers
• Assist with the deployment of new supercomputer technologies and data centers
• Build and maintain customer trust by understanding and addressing their needs
• Collaborate closely with R&D teams to develop and refine features based on customer requirements
• Lead efforts to resolve complex and high-profile customer issues
• Provide constructive feedback to engineering and marketing teams regarding product requirements

Senior Hardware Engineer – Network Adapters

Security Analyst

• Serve as the intelligence core of our team dedicated to identifying, analyzing, and mitigating threats against NVIDIA’s products and ecosystem
• Lead deep-dive OSINT and WEBINT research to identify emerging threats, conducting intelligence collection and analysis that leads to clear, actionable mitigation recommendations
• Leverage scripting (Python, Bash, etc.) and Generative AI tools to automate intelligence collection, triage, and analysis workflows
• Analyze Advanced Persistent Threats (APTs) and sophisticated adversaries, collaborating with multi-functional teams to detect, track, and eliminate potential risks to our networking portfolio
• Apply extensive insight into cyber operation phases to map adversary behavior, anticipate future movements, and harden our product development lifecycle with adoption of security improvements
• Drive threat hunting methodologies, proactively searching for indicators of compromise (IoCs) and hidden vulnerabilities within the products
• Translate complex technical findings into strategic intelligence reports for both technical collaborators and leadership, ensuring a clear and unified insight into the threat landscape
• Collaborate closely with incident response and engineering teams to ensure intelligence findings are seamlessly coordinated into other defensive tools and product security processes

Senior Cyber Security Threat Intelligence Analyst

Program Manager

• Define and manage program schedules, deliverables, and turning points aligned with customer roadmaps and requirements.
• Translate customer requirements into actionable tasks for all functional teams, driving timely issue resolution across engineering, quality, logistics, and sales.
• Provide horizontal leadership to drive cross-functional program execution, managing high priority issues/concerns, and coordinating globally dispersed teams to ensure clear alignment on objectives.
• Act as the primary customer interface, facilitating program kick-offs, technical discussions, design reviews, issues/bug tracking and resolution, customer qualification/validation efforts, and status updates throughout the product lifecycle.
• Drive program execution from design through production deployment, ensuring on-time delivery, quality, and customer acceptance.
• Provide ongoing post-deployment sustaining support, serving as case manager for high priority concerns within the generative AI domain.
• Monitor factory production schedules, yields, and blockers, collaborating with ODM/contract manufacturers to resolve issues and meet operational targets.
• Proactively communicate program health, risks, and key issues to both customers, internal partners, and leadership (Hardware, Software, Operations, Business, Quality, Sales, and Product Teams), ensuring transparency and alignment.

Customer Program Manager – Generative AI

• Define and manage program schedules, deliverables, and turning points aligned with customers roadmaps and requirements.
• Translate customer requirements into actionable tasks for all functional teams, driving timely issue resolution across engineering, quality, logistics, and sales.
• Provide horizontal leadership to drive cross-functional program execution, managing high priority issues/concerns, and coordinating globally dispersed teams to ensure clear alignment on objectives.
• Act as the primary customer interface, facilitating program kick-offs, technical discussions, design reviews, issues/bug tracking and resolution, customer qualification/validation efforts, and status updates throughout the product lifecycle.
• Drive program execution from design through production deployment, ensuring on-time delivery, quality, and customer acceptance.
• Provide ongoing post-deployment sustaining support, serving as case manager high priority concerns with major enterprise customers and cloud service providers
• Monitor factory production schedules, yields, and blockers, collaborating with ODM/contract manufacturers to resolve issues and meet operational targets.
• Proactively communicate program health, risks, and key issues to both customers, internal partners, and leadership (Hardware, Software, Operations, Business, Quality, Sales, and Product Teams), ensuring transparency and alignment.

Senior Customer Program Manager – Datacenter AI

Compliance

• You will be working within NVIDIA’s Legal Team in the EMEA region, supporting other functional groups including: EMEA Corporate Shipping / Receiving, regional Trade Compliance teams, regional Office Managers, WW Logistics, Engineering and Sales / Marketing departments and external customers to support import/export processes
• You will be supervising and tracking import / export activity where NVIDIA is party to an EMEA transaction
• Reviewing Sanctioned Party List / Legal Control Blocks in SAP GTS
• Identifying and escalating “red flags” to management
• Conducting internal audits of customs related documents in line with ISO
• Crafting detailed processes and flows
• Work with designated Brokers to amend discrepancies

Global Trade Compliance, Analyst

• Define and manage program schedules, deliverables, and turning points aligned with customer/partners/or customers and partners
• Translate customer requirements into actionable tasks for all functional teams, driving timely issue resolution across engineering, quality, logistics, and sales.
• Provide horizontal leadership to drive cross-functional program execution, managing high priority issues/concerns, and coordinating globally dispersed teams to ensure clear alignment on objectives.
• Act as the primary customer interface, facilitating program kick-offs, technical discussions, design reviews, issues/bug tracking and resolution, customer qualification/validation efforts, and status updates throughout the product lifecycle.
• Drive program execution from design through production deployment, ensuring on-time delivery, quality, and customer acceptance.
• Provide ongoing post-deployment sustaining support, serving as case manager
• Monitor factory production schedules, yields, and blockers, collaborating with ODM/contract manufacturers to resolve issues and meet operational targets.
• Proactively communicate program health, risks, and key issues to both customers, internal partners, and leadership (Hardware, Software, Operations, Business, Quality, Sales, and Product Teams), ensuring transparency and alignment.