דרושים Industry Analyst Relations Manager – Independent Technology Experts ב-אנבידיה ב-United States, California

What You Will Be Doing:

• Bring new products and new technologies to high volume manufacturing

• Deliver datamation solutions for enhanced decision making

• Manage supplier performance evaluation matrix and keep it updated based on changing business needs

• Drive continuous improvement in manufacturing yield, cycle time and product quality/reliability

• Lead change control through qualification and notification

• Lead non-conforming material disposition

• Manage BOM supply chain and optimize sourcing solutions for best capacity and cost

What We Need To See:

• Master’s degree or higher in Engineering or Science with emphasis on Mechanical, Materials Science, Chemical Engineering fields (or equivalent experience)

• 12+ years of validated experience in Flip Chip semiconductor packaging design, process and materials development. Direct experience in advanced assembly technologies such as 2.5D/3D packaging, Photonics packaging experience is desirable

• Solid technical knowledge of materials, process, package design and equipment technologies in substrate, bumping, and chip assembly

• Strong skills in project management and supplier management

• Solid understanding of quality control, statistics process control, gage R&R and DOE techniques

• Good knowledge of packaging industry and its supply chain

• Excellent written and verbal communication skills

• Experience working with multi-functional teams across the world

NVIDIA is seeking a Senior Technical Program Manager to lead the Infrastructure and Product Security and Compliance program for DGX Cloud. In this role, you will ensure our platforms and partner ecosystem meet the highest standards of trust, resilience, and governance.

As a Senior TPM focused on Cloud Security, you will own the design and execution of a DGXC-wide infrastructure security program that strengthens how DGXC operates with Cloud Service Providers (CSPs) and NVIDIA Cloud Partners (NCPs). You will drive security initiatives by embedding compliance controls, governance frameworks, and best practices across infrastructure, platform, and product teams. This role also ensures Product Security is integrated into product roadmap planning and the software development lifecycle, aligning product and infrastructure priorities. You will work closely with senior leaders and cross-functional teams in Security, Compliance, DevOps, and Engineering to continuously enhance and scale the DGX Cloud Security Posture.

What You’ll Be Doing:

• Lead alignment across engineering, product, security, and partner teams to deliver against cloud security guidelines with CSP and NCP partners.

• Drive programs that strengthen vulnerability management, access control, patching, and compliance readiness for SOC 2, ISO 27001, and related certifications.

• Operate DGXC-wide security engineering forums and processes, establishing security KPIs, dashboards, and “run safe” SRE practices.

• Partner with the CISO organization to define and assess emerging cloud providers against DGX Cloud security requirements, driving measurable improvements and action plans.

• Implement and evolve security controls frameworks (e.g., SSH hardening, IAM, secret rotation) in CI/CD pipelines to ensure continuous compliance.

• Lead certification readiness and audit cycles, including SOC 2 Type 1 & 2 and ISO 27001, from control mapping through evidence collection and remediation.

• Chair the DGX Cloud Security & Compliance Working Group, managing governance reviews, risk dashboards, and executive reporting on posture and metrics.

• Develop training programs to build security and compliance awareness across Product, DevOps, and Engineering teams.

• Create playbooks and automation frameworks that streamline certification renewals, patching cycles, and vulnerability management workflows.

• Maintain and continuously improve technical compliance documentation, including system diagrams, process flows, and control mappings.

What We Need to See:

• 12+ years of Program Management experience driving the planning and execution of large programs, software engineering projects in a fast paced environment.

• Consistent track record delivering successful Security, Risk, and/or Compliance programs, particularly in cloud IaaS and SaaS environments, resulting in full certification of a suite of products and services.

• Experience leading efforts related to SOC2 (Type 1 and Type 2) audits and readiness, including leading control implementation (e.g., access controls, change management, vulnerability management).

• Experience operationalizing vulnerability management, patch management, SSH key governance, and access controls across distributed systems.

• Ability to think strategically and tactically and to build consensus in making programs successful; ability to resolve technical issues and resource constraints across cross-functional teams.

• Demonstrated ability to define metrics, dashboards, and risk indicators that measure posture improvement and audit readiness.

• Proficiency with tools like JIRA, to comfortably guide engineering teams on execution in an Agile/scrum manner and ensure accurate governance artifacts are delivered.

• Excellent executive communication and presentation skills able to distill complex technical and compliance topics for senior leadership

• MS EE or CS degree, or equivalent experience.

Ways to Stand Out from the Crowd:

• Highly motivated with strong interpersonal skills, with proven track record to work successfully with multi-functional teams and coordinate effectively across organizational boundaries and geographies.

• Experience implementing security features in a multi-cloud environment.

• Experience with sophisticated compliance programs, such as FedRamp, SCO2, or ISO certification efforts.

• Solid understanding of tier 1 cloud technologies (AWS, GCP, Azure, OCI).

• Experience with productivity tools and process automation.

What you’ll be doing:

• Drive Speed of Light (SOL) execution at Nvidia Contract Manufacturers (CM) to deliver zero manufacturing defects for New Product Introduction (NPI) boards and systems assemblies. Work with cross-functional teams to support local Quick Turn (QT) and Mass Production (MP) products and handle all aspects of board and system assemblies. Champion continuous improvement at the CM to reduce waste and standardize the reporting format across all areas.

• Be the primary Operations subject matter expert to drive CM readiness and prepare for production ramp or new product launch. Drive execution to higher operational efficiency and improve daily going rate (DGR) to achieve quality standard and reliable delivery for boards & system assemblies.

• Coordinates resources, prioritizes activities, and establishes schedules to complete assignments. Responsible for clear to build and build schedule. Manage multiple QT/MP/Rework/RMA Builds locally and overseas (CM).

• Attend daily WIP Call with the factory. Provide daily communication and status to Board Program Manager (BPM) or Requestors.

• Initiate Special Build Instructions, coordinate ECOs and confirm updates after BOM comparisons are complete. Provide shipment ETA, tracking information to BPM/requestors, and closely monitors Critical Shipments.

• Conduct Control Run Readiness Reviews and Manage Control Run Builds. Coordinate board test for CM. Follow up with BPM/LDE for test diagnostics & vbios, works with SQE/CM for test results. Feedback any failures to LDE/BPM.

• Lead regular reviews and Ensure all risks associated with product are identified and closed or mitigated to enable the quality ramp of a product. Managing all operational issues; advancing key issues and present options for resolution to the cross-functional teams.

• Create & Issue Nvidia Supplier Corrective Action Request (SCAR) & drive closure, as needed. Reviewing all open 8D, during weekly Quality & On Time Deliver (OTD) critical metric meetings. Maintain asset & equipment lists, Bi-weekly Nvidia asset cycle verification.

What we need to see:

• BS/MS or equivalent experience in ElectronicsManufacturing/ElectricalEngineering, Mechanical Engineering, or related field.

• Must function independent in a dynamic and fast paced environment.

• 5+ years’ experience in a similar role, preferably within an engineering,manufacturing/operationsenvironment.

• Ability to take ownership of tasks, to resolve time sensitive issues in a dynamic production environment while maintaining strong internal and external customer relationships.

• Very strong leadership, facilitation, problem solving, and project management skills are required to be successful in this role.

• Strong interpersonal skills; someone who leads by inspiring; enjoys working with others in a collaborative, social environment; effective at building and maintaining strong relationships.

• Be solution driven with a bias for action. Apply problem solving skills to work through conflict in an effective and professional manner to maintain productive working relationships.

Ways to stand out from the crowd:

• Demonstrates a commitment to quality and actively engages in continuous improvement efforts.

• Takes initiative to go beyond clearly defined responsibilities, recognizes obstacles and create solutions. Demonstrates ability to think and act effectively, to make tough and well-thought decisions in a timely manner.

• Deep understanding of technology and passionate about what you do.

• Strong analytical skills, logical problem solver, results driven with the ability to collect, organize, and disseminate significant amounts of information accurately and at a detailed level.

What you'll be doing:

• Lead business operations and analytics across NVIDIA’s ODM ecosystem, enabling manufacturing scalability and operational rigor.

• Develop and maintain data-driven operational models and dashboards to track capacity, yield, and shipment performance across partners.

• Partner with Finance, Operations, WWFO, and Product teams to connect operational metrics with financial outcomes.

• Implement governance frameworks, standardized important metrics, and regular reviews to develop accountability and transparency across global sites.

• Collaborate with ODMs and internal teams to boost data accuracy, efficiency visibility, and process automation.

What we need to see:

• Bachelor’s or Master’s degree in Data Science, Business, or Finance or equivalent experience (MBA preferred).

• 8+ years of experience in hardware operations, manufacturing analytics, or financial planning — ideally within data center, semiconductor, or hyperscaler environments.

• Proven strength in data analysis, modeling, and visualization using tools including Tableau and Microsoft Office.

• Proficient knowledge of ODM/OEM business structures, production processes, and logistics operations.

• Outstanding communication and execution skills— you can transform data into clear insights and collaborate effectively across global teams for implementation.

• A track record of excelling in fast-paced, cross-functional environments where accuracy, speed, and teamwork matter.

Ways to Stand Out from the Crowd:

• Demonstrated ability to build predictive modeling frameworks that link operational data with business outcomes.

• Proven success driving process automation or analytics transformation within a complex manufacturing or supply-chain network.

• Sound comprehension of supply chain management, optimizing manufacturing processes, and performing scenario analysis for substantial operations.

• Experience collaborating across engineering, finance, and operations to solve high-impact business challenges.

• Passion for translating data into strategy — turning operational insights into measurable results that advance NVIDIA’s AI Factory mission.

What you'll be doing:

• Define top level product strategy, architecture and capabilities by synthesizing input from internal/external applied research/engineering teams and competitive landscape mapping.

• Map the domain specialized foundation model(s) ecosystem and strategize NVIDIA's unique role and contribution to galvanize the entire ecosystem with the right CSP/ISV partners.

• Clearly define use case scenarios and product requirements with specific benchmarks aligned with product goals.

• Coordinate and compose the entire product execution process through technical interactions (architecture building, benchmark reviews, etc) both internally and externally

• Partner with the functional leaders across Engineering, Applied Research, Developer Relations, Marketing and Business Development to create new market opportunities with high value, forward-thinkingClaraopen models and companion platform(s) capabilities.

• Be responsible for building compelling GTMs with product marketers and enable the sales team with strong product value props and benchmarks.

What we need to see:

• BS or MS degree in Computer Science, Computer Engineering, or similar field (or equivalent experience)

• 12+ years of product management, or similar, experience at a technology company serving enterprises

• Product Management Experience: Proven track record in product management, particularly within the technology sector, with experience serving large developer ecosystems.Open-source ecosystem development experience highly valued.

• Deep understanding of domain specific AI/ML training and inference, Large Language Models (LLMs), Generative AI (Gen AI), and relevant frameworks and libraries especially popular with Medical AI researchers and data scientists

• Strong leadership, communication, and interpersonal skills to collaborate effectively with cross-functional teams and influence collaborators.

• Ability to balance high-level strategy with detailed planning, analyze market data, and make data-driven decisions.

Ways to stand out from the crowd:

• Familiarity with NVIDIA’s AI technology stack, including MONAI, PyTorch, CUDA, TensorRT, Omniverse, Cosmos, NIMs, or more

• Experience in developing and deploying AI solutions in healthcare environments.

What You'll Be Doing:

• Strategic Leadership: define and own the global go-to-market strategy for the DGX platform, ensuring alignment with long-term business goals and the broader NVIDIA AI portfolio. Continue to establish the DGX platform as the reference build for accelerated infrastructure and model go-to-market for partners, defining messaging and positioning, planning and overseeing complex keynote-level product launches and ongoing product representation.

• Team Management & Mentorship: manage, mentor, and develop a team of product marketers, helping them navigate complex organizational challenges and elevate their strategic thinking. Build and scale the team to support launch strategy, field and channel enablement, ecosystem teamwork, and repeatable messaging frameworks, while developing talent and sustaining organizational alignment.

• Cross-functional Alignment & Ecosystem: serve as the primary product marketing voice for the DGX platform, collaborating across product, campaign, field, and partner teams to align on positioning, resolve messaging conflicts, and oversee product launches. You will define go-to-market strategies for partners to promote growth and ensure consistent representation across the ecosystem.

• Expert Execution: guide the final quality for critical launches and high-stakes deliverables, diving in hands-on when vital to resolve complex positioning issues and unblock your team on difficult cross-functional problems.

What We Need To See:

• 12+ overall years of relevant experience in product marketing, product management, or a related field within enterprise technology or AI infrastructure.

• 5+ years Direct people management experience, with a proven track record of hiring and developing high-performing teams.

• Proficiency in Product Marketing: deep expertise in positioning, messaging, asset creation, and competitive analysis with a passion for transferring this knowledge and empowering a team to master these skills.

• Technical Proficiency: ability to understand complex AI system architectures and translate them into compelling business value.

• Strategic Presence: demonstrated ability to influence senior stakeholders (VPs, Directors), negotiate effectively, and drive consensus across matrixed organizations.

• Bachelor’s degree in Engineering, Computer Science, Marketing, or equivalent experience.

Ways To Stand Out From The Crowd:

• Deep understanding of NVIDIA AI infrastructure, the NVIDIA DGX platform, and the enterprise AI ecosystem.

• A proven ability to encourage and elevate high-performing teams through subject matter expertise and strategic vision.

• A portfolio of high-impact content.

What you'll be doing:

• Design intuitive data models and semantic layers to enable self‑service and AI apps reducing ad‑hoc query friction for business users.

• Enrich data products with business glossary and metadata to reduce AI hallucinations, improve user adoption, searchability and governance.

• Lead multi‑site integrations across new manufacturing plants and ops applications standardizing schemas and controls; enabling cross‑plant insights.

• Engineer scalable pipelines with data integrity functions and audit features. Automate measuring and monitoring data quality for improved decision making.

• Explain the data designs, system changes, enhancements, address any questions or issues effectively to the stakeholders.

• Partner with stakeholders, solve business problems, train users, help with data and queries.

• Optimize Lakehouse systems to deliver high performing solutionswhile controlling operational costs.

What we need to see:

• BS, MS, or PhD in EE/CS or related field of education (or equivalent experience).

• 5+ years of programming experience (Python, PySpark, SQL, etc.).

• 5+ years of experience with big data technologies and cloud platforms (AWS, Databricks, Snowflake).

• 12+ overall years in Data Warehousing, implementing projects with data Lakehouse solutions.

• Experience with enterprise BI databases like SAP BW/HANA, ERP/CRM systems like SAP/Salesforce, planning applications like IBP, APO etc.

• Knowledge of operational processes in chips, boards, systems, and networking.

• Proficiency in Tableau, PowerBI, and SAP reporting applications.

Ways to stand out from the crowd:

• Strong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracy.

• Highly independent, able to lead key technical decisions, influence project roadmap and work effectively with team members

• Proven experience leading multiple analytics projects in a dynamic, fast-paced environment

• Data science, AI/ML experience

• Positive interpersonal skills with ability to convey good verbal and written communication