Order Management Representative jobs at Nvidia

As a senior manager in our global IT PMO team, you will be accountable for critical infrastructure programs supporting Compute platforms and IT Automation. As a leader of these initiatives, you will drive the operating model, scaling approach and playbooks with delivering programs at scale.

What you'll be doing:

• Lead, mentor, and develop a diverse team of Technical Program Managers, fostering professional growth and a culture of accountability and innovation.

• Serve as a force multiplier across the organization by enabling effective coordination of cross-functional initiatives and managing complex interdependencies.

• Promote collaboration in a fast-paced, dynamic environment while guiding teams through uncertainty with clarity, technical insight, and a results-oriented mindset.

• Establish and maintain best-in-class program management practices to optimize delivery efficiency, mitigate risk, and ensure consistent execution excellence.

• Drive continuous improvement by implementing data-driven feedback mechanisms and leveraging metrics to identify and act on opportunities for optimization.

• Own and manage the Infrastructure program portfolio, ensuring alignment with organizational goals, strategic priorities, and resource capacity.

• Lead quarterly portfolio planning sessions to align stakeholders on dependencies, risks, and prioritization of initiatives. Deliver clear, data-driven updates to senior stakeholders, tracking progress against key performance indicators and strategic objectives.

• Evaluate and prioritize new program requests based on strategic value, business impact, and available capacity. Monitor and assess portfolio performance, identifying improvement areas and providing actionable recommendations to leadership.

What we need to see:

• Bachelor's Degree in computer science, other related technical field or equivalent experience.

• 12+ overall years of IT experience.

• 7+ years of experience successfully leading technical programs in a fast paced, multifaceted, enterprise environment.

• In depth technical knowledge of IT infrastructure within Automation, platforms, SW development and observability, and Compute Systems such as OpenShift.

• Deep understanding of infrastructure standards and methodologies to optimize for quality and efficiency. Experience with various continuousintegration/deploymentmodels for large organizations will be important, as well as a foresight towards how to adopt and integrate such practices into a very dynamic infrastructure environment.

• Certified Scrum Master or Certified Scrum Trainer certification or equivalent preferred.

• Proven history of continuous improvement to enable higher performingprogram/organizationsand/or teams with improved business and customer outcomes.

• Consistent track record of delivering critical infrastructure builds, while navigating a fast-paced environment with frequent shift in priorities.

• Effective communication skills both written andverbal/presentations.Ability to bridge from high-level objectives to project details and vice-versa.

• Willingness to work with distributed team members across different time zones.

What you’ll be doing:

• Agentic Workflow Design: Build autonomous agents that handle the full TPRM lifecycle.

• Employ Generative AI Technology like embeddings, RAG, or LLM agents for summarizing vendor responses.

• Continuous Monitoring Automation: Build event-driven integrations (webhooks, serverless functions) to react to vendor risk score changes or asset discovery events.

• NLP and ETL Automation: Use Natural Language Processing (NLP) for extracting structured data from vendor documents and maintain pipelines for ingesting and correlating vendor risk data, findings, and compliance metrics.

• Integration Architecture: Design modular, API-based pipelines connecting TPRM tooling (LogicGate/OneTrust) with Databricks, Jira, and data warehouses.

• Domain Alignment: Apply deep understanding of the TPRM Lifecycle (onboarding, risk tiering, assessment, remediation) and ensure security relevance based on frameworks such as NIST CSF 2.0, ISO 27001, SOC 2, and CMMC mappings.

• Risk Modeling: Integrate knowledge of Risk Scoring Models (e.g., BitSight scores) into inherent and residual risk calculations.

What we need to see:

• API Engineering: Experience integrating data from security and GRC systems such as BitSight, LogicGate, ServiceNow, or Jira.

• Workflow Automation Tools: Understanding of orchestration and automation systems such as Tines, n8n, Cortex XSOAR for prototypes).

• Data Modeling & Pipelines: Ability to design and maintain data models for vendor metadata, risk scores, and control test results.

• Proficient in using tools like Cursor, Claude, Gemini, or similar frameworks to develop agentic automations for data analysis and workflow execution.

• Observability & Metrics: Ability to implement logging, monitoring, and metrics dashboards (e.g., PowerBI) for TPRM automation health.

• 8+ years of proven experience in cybersecurity with a focus on automation, security engineering, or architecture.

• Communication & System Thinking: Strong cross-functional communication. System thinking to translate policy/compliance goals into technical automation design.

• Leadership: Innovation mindset: Ability to propose and prototype emerging AI approaches responsibly; Excellent Documentation & Knowledge-sharing skills of automation architecture, runbooks, and control mappings.

• Minimum bachelor’s degree or equivalent experience in a technology or relevant scientific field required.

Ways to stand out from the crowd:

• Certifications in one or more of the following areas: CIPP, CISSP, CISA, CISM, CRISC.

• Proficiency in using third-party risk management platforms such as OneTrust, RSA Archer, or similar tools.

• Hands-on experience with developing and maintaining metrics dashboards for Cybersecurity programs.

• Demonstrated ability to manage and mitigate risks associated with a large and diverse portfolio of third-party vendors.

What you'll be doing:

• Partner across multiple product engineering teams to enable and drive the adoption of cryptographic key, certificate, and signing processes and use cases.

• Build secure cloud architecture using NVIDIA's private cloud and Cloud Service Providers (CSPs), such as Amazon Web Services (AWS) and Microsoft Azure.

• Define scope, plan, and complete projects to securely manage cryptographic assets such as cryptographic keys, certificates, and secrets.

• Compose and build microservices deployed in a containerized environment using RESTful APIs.

• Solve application reliability, scalability, and usability challenges while managing multi data center deployments.

What we need to see:

• BS or MS in Computer Science Engineering or a related field of study (or equivalent experience).

• 8+ years of experience in architecting, crafting, and implementing software engineering solutions, particularly in cloud software.

• Strong knowledge of cryptographic algorithms, such as key management, hashing, signing, and certificate creation.

• Familiarity with AuthN/AuthZ concepts and frameworks for securing production and corporate access, including SSO, SAML Federated Identity, RBAC, and IAM policies.

• Strong knowledge of Java programming languages, accompanied by experience in related frameworks like Spring and SpringBoot.

• In-depth knowledge of the AWS cloud platform (or other CSPs), with experience architecting high-throughput services.

• Prior experience in crafting Cryptographic applications in a chip company and PKI software systems.

Ways to stand out from the crowd:

• Technical leadership of cryptographic key & certificate management, and signing infrastructure, platform, or software systems.

• Proficiency in Python, Go and .NET programming is a plus.

• Experience with threat modeling using tools such as Microsoft Threat Modeling Tool.

• Experience with infrastructure and orchestration tools (Kubernetes, Terraform, GitOps, etc.).

• Background with Google Cloud Platform (GCP), Microsoft Azure, and Oracle Cloud Infrastructure (OCI).

What you'll be doing:

• Act as the subject matter expert (SME) for material management processes supporting data center infrastructure hardware across its full lifecycle.

• Be responsible for the planning and execution of operational hardware sparing strategies to ensure availability and minimal downtime.

• Own the end-of-life (EOL) management process for infrastructure hardware, including decommission planning and material disposition.

• Ensure inventory accuracy through ongoing audits, reconciliation processes, and alignment with data center operational needs.

• Apply ABC inventory classification methodology to prioritize and optimize stock levels based on usage, cost, and criticality.

• Maintain and improve material planning models to support forecasting and capacity planning initiatives.

• Analyze data trends to drive continuous improvements in inventory optimization, cost control, and operational efficiency.

What we need to see:

• 12+ years of experience in material management, inventory operations, or hardware lifecycle support within data center infrastructure, manufacturing, or supply chain environment.

• Solid grasp of data center hardware components (servers, networking, storage, etc.) and their lifecycle (deployment, sparing, EOL).

• Demonstrable experience with inventory control practices, including ABC classification, stock audits, and accuracy initiatives.

• Excellent organizational and documentation skills; attention to detail is a must.

• Bachelor’s degree in Supply Chain Management, Operations, Logistics, Information Technology, or related field; or equivalent experience.

What You’ll Be Doing:

• Lead and scale the Technical Program Management organization responsible for the DGX Cloud AI/ML platform, enabling over 1,000+ NVIDIA researchers globally.

• Drive the roadmap for end-to-end AI/ML infrastructure, spanning cluster bring-up, workload orchestration, GPU resource management, and integration with MLOps pipelines.

• Collaborate with leaders in technology and innovation to outline platform needs, synchronize computing approach with AI model advancement, and provide a seamless researcher journey.

• Lead complex programs involving next-generation systems (e.g., GB200) and fleet-wide scaling initiatives across OCI, GCP, and other hyperscalers.

• Own platform efficiency and capacity management, using deep understanding of scheduling systems (e.g., Slurm, hybrid models) to optimize job placement, utilization, and turnaround time.

• Establish data-driven operational metrics availability, occupancy, wait times, throughput and use them to guide continuous improvement and prioritization.

• Implement governance and visibility frameworks that drive alignment, predictability, and accountability across AI platform initiatives.

• Represent DGX Cloud programs to senior leadership, clearly articulating impact, risk, and value across engineering and research organizations.

What We Need to See:

• 15+ overall years of technical program management experience, including 7+ years leading and developing TPM teams in infrastructure, AI/ML, or platform engineering domains.

• Demonstrated success in implementing AI and machine learning systems and platform initiatives at a large scale encompassing workload coordination, data pipeline incorporation, model training environments, and GPU fleet supervision.

• Deep technical understanding of AI/ML workflows, job scheduling (Slurm, Kubernetes, hybrid orchestration), and large-scale distributed systems.

• Proficiency in optimizing resource usage and monitoring performance metrics in compute-heavy settings.

• Experience building platforms across cloud and on-prem hybrid architectures, integrating with internal and external MLOps stacks.

• Proficiency with observability and telemetry tools (e.g., Grafana, Prometheus) for infrastructure monitoring and performance analysis.

• Bachelor or Master in Computer Science, Engineering, or related field (or equivalent experience).

Ways to Stand Out from the Crowd:

• Proficient in AI/ML systems, model lifecycle oversight, and developer tools for extensive training tasks.

• Track record driving R&D productivity platforms and reducing friction for machine learning practitioners.

• Experience in new product introduction (NPI) for research and infrastructure systems.

• Deep familiarity with cloud compute and orchestration technologies, and a passion for automation and operational excellence.

• Executive communication skills, able to translate complex technical programs into clear business and research outcomes.

What you’ll be doing:

• Lead a team of product managers to successfully implement NVIDIA's AI infrastructure initiatives.

• Collaborate closely with engineering, research, and marketing teams to develop and deliver large-scale platform products and infrastructure.

• Determine market needs and define product roadmaps to lead in the AI/ML and HPC environments.

• Coordinate the execution of product development, focusing on AI/ML infrastructure, including model training, serving, orchestration, containerization, and GPU-based computing.

• Collaborate with senior leadership and partners to align on product vision and strategy.

• Employ your extensive expertise in distributed systems, resource schedulers, model parallelism, and performance optimization to inform technical decisions.

• Ensure products meet the highest standards of quality and performance, continuously improving them based on customer feedback and market trends.

What we need to see:

• 15+ overall years in product management orinfrastructure-focusedtechnical leadership roles, with 5+ years managing and mentoring product teams.

• Demonstrated history of successfully delivering large-scale platform products or infrastructure in cloud, AI/ML, or HPC environments.

• Strong technical background with experience in AI frameworks (e.g., PyTorch, TensorFlow, JAX) and ML toolchains.

• Familiarity with cloud-native infrastructure (Kubernetes, Docker, Helm, etc.) and hybrid cloud environments.

• Excellent communication and leadership skills, with the ability to influence across engineering, marketing, and executive leadership.

• Master’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).

Ways to stand out from the crowd:

• Experience developing AI applications.

• Ph.D. or equivalent experience in Computer Science or a related technology area.

• Proficiency in GPU-centric computing and improving efficiency.

• Experience working with in-house legal counsel to develop and customize software license agreements.

What you’ll be doing:

• Work with NV leadership to define and continuously refine our XR strategy.

• Manage XR team to push strategy forward through partnerships, products, and marketing.

• Deep understanding of NVIDIA’s products, especially across AI and XR.

• Work across internal NVIDIA teams to maintain awareness and alignment with XR.

• Engage in high-profile XR customer and partner opportunities

• Present at customer, partner, and NVIDIA events to build deeper engagement across the XR ecosystem.

What we need to see:

• Bachelors Degree in Computer Science or related field or equivalent experience.

• 18+ overall years of related work experience with 8+ years direct people management experience.

• Experience with XR hardware and software technology and understanding of both the consumer and enterprise XR markets.

• Passion for GPU technologies, including VR, AR, and AI and experience with SDKs and other developer tools.

• Strong teamwork skills, ability to multi-task effectively, graceful handling of fast paced situations.

• Strong communication and presentation skills, both internal and external, including presenting to the press.

• Experience with all types of marketing, including events, blog and web writing, and demo composition and messaging.

• Demonstrated expertise working with both internal and external senior executives, and comfortable with 10% travel time for events, press tours, and partner meetings.

Ways to stand out from the crowd:

• Demonstrated expertise contributing, managing, and thriving in a highly matrixed organization.

• Strong experience and technical depth with both AI and XR technologies.

• Excellent strategic vision and ability to communicate that vision.