Data Modeler jobs

What you'll be doing:

• As a senior member in our team, you will work with pre-silicon and post-silicon data analytics - visualization, insights and modeling.

• Design and uphold sturdy data pipelines and ETL processes for the ingestion and processing of DFX Engineering data from various origins

• Lead engineering efforts by collaborating with cross-functional teams (execution, analytics, data science, product) to define data requirements and ensure data quality and consistency

• You will work on hard-to-solve problems in the Design For Test space which will involve application of algorithm design, using statistical tools to analyze and interpret complex datasets and explorations using Applied AI methods.

• In addition, you will help develop and deploy DFT methodologies for our next generation products using Gen AI solutions.

• You will also help mentor junior engineers on test designs and trade-offs including cost and quality.

What we need to see:

• BSEE (or equivalent experience) with 5+, MSEE with 3+, or PhD with 1+ years of experience in low-power DFT, Data Visualization, Applied Machine Learning or Database Management.

• Experience with SQL, ETL, and data modeling is crucial

• Hands-on experience with cloud platforms (AWS, Azure, GCP)

• Design and implement highly scalable, fault tolerant distributed database solutions

• Lead data modeling, performance tuning, and capacity planning for large-scale, mission-critical storage workloads

• Excellent knowledge in using statistical tools for data analysis & insights.

• Strong programming and scripting skills in Perl, Python, C++ or Tcl is expected

• Outstanding written and oral communication skills with the curiosity to work on rare challenges.

Ways to stand out from the crowd:

• Experience in data pipeline and database architecture for real-world systems

• Experience in application of AI for EDA-related problem-solving

• Good understanding of technology and passionate about what you do

• Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment

What you'll be doing:

• Develop and implement the business logic in the new End-to-End Data systems for our Planning, Logistics, Services, and Sourcing initiatives.

• Lead discussions with Operations stakeholders and IT to identify and implement the right data strategy given data sources, data locations, and use cases.

• Analyze and organize raw operational data including structured and unstructured data. Implement data validation checks to track and improve data completeness and data integrity.

• Build data systems and data pipelines to transport data from a data source to the data lake ensuring that data sources, ingestion components, transformation functions, and destination are well understood for implementation.

• Prepare data for AI/ML/LLM models by making sure that the data is complete, has been cleansed, and has the necessary rules in place.

• Build/develop algorithms, prototypes, and analytical tools that enable the Ops teams to make critical business decisions.

• Build data and analytic solutions for key initiatives to set up manufacturing plants in US.

• Support key strategic initiatives like building scalable cross-functional datalake solutions.

What we need to see:

• Master’s or Bachelor’s degree in Computer Science or Information System, or equivalent experience

• 8+ years of relevant experience including programming knowledge (i.e SQL, Python, Java, etc)

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

• Experience architecting, designing, developing, and maintaining data warehouses/data lakes for complex data ecosystems

• Expert in data and database management including data pipeline responsibilities in replication and mass ingestion, streaming, API and application and data integration

• Experience in developing required infrastructure for optimal extraction, transformation, and loading of data from various sources using Databricks, AWS, Azure, SQL or other technologies

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

• Knowledge of supply chain business processes for planning, procurement, shipping, and returns of chips, boards, systems, and networking.

Ways to stand out from the crowd:

• Self-starter, collaborative, positive mindset, committed to growth with integrity and accountability, highly motivated, driven, and high-reaching

• Solid ability to drive continuous improvement of systems and processes

• A consistent record to work in a fast-paced environment where good interpersonal skills are crucial

What you'll be doing:

• Lead sophisticated programs focused on improving the quality and efficiency of data center infrastructure, hardware, and software domains with multi-year strategic roadmaps and cross-

• Drive technical execution from requirements gathering through production launch, including writing technical specifications, coordinating release schedules, and ensuring operational readiness across multiple team dependencies

• Own server hardware development, testing, and integration efforts for computing products, working closely with original design manufacturers and contract manufacturers on new product introductions at global manufacturing scale

• Partner with software development teams to build automation programs for large-scale infrastructure testing and develop solutions that enhance operational performance across highly concurrent, high-throughput distributed systems

• Guide enterprise network infrastructure and data center operations initiatives covering servers, storage, networking, power, and cooling systems while serving as domain leader for manufacturing test infrastructure

• Lead continuous improvement initiatives for engineering processes, quality management, and operational excellence while leading risk mitigation strategies and critical path oversight

• Build trusted partnerships across hardware teams, security professionals, supply chain, operations, and product management to drive technical decisions and resolve sophisticated multi-functional dependencies

What we need to see:

• Bachelor's degree in Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, or related technical field, or equivalent experience

• 12+ years working directly with engineering teams with demonstrated technical program management experience

• More than 7 years of practical program or project management expertise being responsible for intricate technology ventures involving teams with multifaceted strengths

• 5+ years of software development experience with proficiency in programming languages.

• 5+ years leading hardware product development and new product introduction on a global manufacturing scale

• Deep technical expertise in server, network, or storage product architecture and manufacturing test development

• Strong understanding of large-scale distributed systems, data center infrastructure, and enterprise network architecture

• Experience with Linux/Unix or Windows system administration, database management, and infrastructure automation

• Demonstrated ability to lead programs across multiple teams, handle project scope, schedule, budget, and quality, and maintain executive-level relationships

Ways to stand out from the crowd:

• 8+ years directly leading sophisticated technology projects with experience designing and architecting highly reliable, scalable systems

• Track record launching AI or ML server products with new technology enablement such as Liquid Cooling

• Experience leading manufacturing test engineering teams within the server, network, or storage sector with expertise in Design for Excellence methodologies

• Knowledge of security engineering, cryptography, quality management systems, and supply chain operations

• Demonstrated single-threaded ownership of strategic programs with demonstrated ability to deliver groundbreaking systems independently in fast-paced, ambiguous environments

As part of the NVIDIA Solutions Architecture team, you will navigate uncharted waters and gray space to drive successful market adoption by balancing strategic alignment, data-driven analysis, and tactical execution across engineering, product, and sales teams. You will serve as a critical liaison product strategy and large-scale customer deployment.

What you’ll be doing:

• Lead the end-to-end execution for key Hyperscalers customers to optimally and rapidly go-to-market at scale with NVIDIA data center products (e.g., GB200).

• Partner with Hyperscalers Product Customer Lead to understand strategy, define metrics, ensure alignment.

• Data-Driven Execution: Collect, maintain, and analyze sophisticated data trends to assess the product's market health, identify themes, challenges, and opportunities, and guide the customer to resolution of technical roadblocks.

• Problem Solving & Navigation: Navigate complex issues effectively, embodying a productive leader who balances short-term unblocks with long-term process and product improvements.

• Executive Communication: Deliver concise, direct executive-level updates and regular status communications to multi-functional leadership on priorities, progress, and vital actions.

• Process Improvement: Integrate insights from deployment challenges and customer feedback into future developments for processes and products through close partnership with Product and Engineering teams.

What we need to see:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.

• 8+ years of combined experience in Solutions Architecture, Technical Program Management, Product Management, System Reliability Engineer or other complex multi-functional roles.

• Proven track record to lead and influence without direct authority across technical and business functions.

• Proven analytical skills with experience in establishing benchmarks, collecting/analyzing intricate data, and redefining data into strategic themes, action items, and executive summaries.

• Skilled in reviewing logs and deployment data, and aiding customers in resolving technical concerns (e.g., identifying performance issues associated with AI/ML and system architecture).

Ways to stand out from the crowd:

• Lead multi-functional teams and influence interested parties to address challenges in customer datacenter deployments, ensuring cluster health and performance at scale.

• Established track record of driving a product from the pilot phase to at-scale deployment in a data center environment.

• Hands-on experience with NVIDIA hardware (e.g., H100, GB200) and software libraries, with an understanding of performance tuning and error diagnostics.

• Knowledge of DevOps/MLOps technologies such as Docker/containers and Kubernetes, and their relationship to data center deployments.

• Confirmed capacity to align, adopt, and disseminate insights among various internal teams (e.g., collaborating with other program leads).

What you'll be doing:

• Develop and implement the new End-to-End Data systems for our Planning, Logistics and Services, and Sourcing initiatives

• Lead discussions with stakeholders and IT to identify and implement the right data strategy given data sources, data locations, and use cases

• Build data pipelines to transport data from a data source to the data lake

• Analyze and organize raw operational data including structured and unstructured data

• Build data systems and pipelines ensuring that data sources, ingestion components, transformation functions, and destination are well understood for implementation

• Interpret trends and patterns by performing complex data analysis

• Prepare data for prescriptive and predictive modeling by making sure that the data is complete, has been cleansed, and has the necessary rules in place

• Build/develop algorithms, prototypes, and analytical tools that enable the Ops teams to make critical business decisions.

• Build data and analytic solutions forkeyinitiativestoset upmanufacturingplantsinUS.

• Support key strategic initiatives like building scalablecross-functionaldatalakesolutions.

What we need to see:

• Master’s or Bachelor’s degree in Computer Science or Information System, or equivalent experience

• 8+ years of relevant experience including programming knowledge (i.e SQL, Python, Java, etc)

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

• Experience architecting, designing, developing, and maintaining data warehouses/data lakes for complex data ecosystems

• Expert in data and database management including data pipeline responsibilities in replication and mass ingestion, streaming, API and application and data integration

• Experience in developing required infrastructure for optimal extraction, transformation, and loading of data from various sources using Databricks, AWS, Azure, SQL or other technologies

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

• Knowledge in operational processes in chips, boards, systems, and servers with a view of data landscape

• Knowledge of supply chain business processes for planning,procurement,shipping,andreturns

Ways to stand out from the crowd:

• Self-starter, positive mindset with integrity and accountability, highly motivated, driven, high-reaching, and attracted to a meaningful opportunity.

• Solid ability to drive continuous improvement of systems and processes.

• A consistent record to work in a fast-paced environment where good interpersonal skills are essential

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:

• 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