Production Planner jobs at Nvidia

What You’ll Be Doing:

• Drive the Clear-to-Build (CTB) process and other global materials management processes with our CMs

• Identify and mitigate component-level risks to ensure uninterrupted production.

• Leverage Generative and Agentic AI to improve your workflow processes and data analysis. Customize the visualization of data to achieve cross-functional alignment on materials strategy.

• Implement data-driven inventory management strategies to balance flexibility with risk. Mitigate material liabilities, such as Excess & Obsolete (E&O) and Purchase Price Variance (PPV).

• Collaborate with commodity management and engineering to identify alternate sources of supply, safety stock, demand offsets and other means to stabilize supply.

• Conduct audits to ensure that CM is driving materials in alignment with our demand.

• Contribute to CM performance reviews. Develop and measure Key Performance Indicators (KPIs) to measure CMs' performance.

• Collaborate with internal stakeholders to drive operational efficiency and resolve material constraints.

What We Need to See:

• A Bachelor's degree in Supply Chain Management, Operations, or a related field (or equivalent experience).

• 8+ years' experience within the semiconductor industry

• 8+ years' experience working with global Contract Manufacturing partners.

• Experience in data analytics and a strong ability to build compelling visual presentations using charts and metrics.

• Proficiency in MSExcel (includingadvanced techniques) and working with ERP systems like SAP.

• Be a regular user of AI tools like Gemini and OpenAI.

• Experience with Product Data Management (PDM) systems like Agile or Windchill, with knowledge of Bill of Materials (BOM) structures.

• Excellent communication and presentation skills, with the ability to influence cross-functional teams.

Ways to Stand Out from the Crowd:

• An MBA or Master's degree

• Experience with data science and data tools like Tableau, PowerBI

• Proficiency in Mandarin or Spanish

What you'll be doing:

• Handle the production planning process at contract manufacturers (CMs) and collaborate with factory managers to address and resolve any emerging issues.

• Drive CM PO commitments in NALA region while coordinating inventory movement of consignment and FG's.

• Provide visibility on supply production plan by handling purchase orders within SAP ERP.

• Act as one of the critical contacts for sales/planning issues to supply shortfall related to the CM factory, providing efficient responses and to bridge any gaps between demand forecasts and production schedules.

• Identify production risks like capacity, material, and quality, and work with supply/demand planning and factory operations to establish a production recovery plan.

• Monitor aging inventory and minimize obsolescence, ensuring optimal stock turnover. Work together with corresponding functional teams on inventory quarantine, rework execution, and shipment recovery.

• This position is a global role which will require engagement with teams in the US and APAC; flexibility in multiple time zones is required.

• Drive planning system enhancements, report automation, and process improvements to support growing global business.

What we need to see:

• BS/BA degree in industrial engineering, finance, manufacturing, operations, business or equivalent experience.

• 5 years of proven experience in supply chain, operations, manufacturing, with a focus on production/supply planning.

• Experience in planning ERP systems such as SAP/ APO/ S4 HANA, and an in-depth understanding of MRP concepts.

• Superb analytical skills and adept with Excel specifics for scrutinizing and implementing data formulas, pivot tables. Proficiency in developing Excel macros is beneficial.

• Strong communication, problem-solving, teamwork, organizational, and quantitative skills. You will need to be highly organized, meticulous, and a self-starter with a strong sense ofownership/accountability.

• Consistent track record documenting, automating, improving processes, and influencing changes cross-functionally to get results.

• Experience in a high-pressure production environment working with various constraints under a matrixed organization.

Ways to stand out from the crowd:

• Direct experience working in a CM manufacturing environment and understanding CM production line/shop floor concepts.

• APICS certified and understanding theoretical frameworks/concepts and applying them to real-world problems/solutions.

• High capability to lead multiple assignments concurrently; requires excellent organizational skills.

• Self-starter, extremely agile/flexible with an attribute for growth and continuous learning.

What you'll be doing:

• Lead CM production planning across NALA manufacturing partners, bridging factory operations with global supply/ demand planning, logistics, and other functional teams.

• Support in resolving supply constraints, production delays, or material shortages; collaborate with CM, factory operations, engineering, and others on recovery plans with clear communication.

• Lead risk assessment reviews to anticipate capacity, material, and quality challenges, aligning with cross-functional teams to evaluate trade-offs and protect critical delivery schedules.

• Actively collaborate with global peers in APAC, EMEA, and US to align production plans, drive consignment dependencies, and standardize guidelines across manufacturing sites and product lines.

• Lead and support a team of planners, offering guidance, support, and feedback to enhance technical expertise, business insight, and collaboration across functions.

• Foster a culture of ownership, continuous learning, and problem-solving within the planning team—balancing long-term skill development with day-to-day operational excellence.

• Take an active role in in-depth planning activities, demonstrating a hands-on leadership approach and aiding the team in addressing intricate issues.

• Drive process and system improvement initiatives, report automation, and analytics enablement to support data-driven decision-making and global scalability.

• Collaborate with IT and operations to improve planning tools and system workflows (SAP, S4/HANA, Power BI) that streamline CM visibility and decision-making.

What we need to see:

• BS/BA in Industrial Engineering, Operations, Supply Chain, or related field (or equivalent experience); MBA preferred.

• 8+ overall years experience in supply chain, manufacturing, or production planning in contract manufacturing.

• Overseeing, supervising, or guiding a team of planners or individual contributors for at least 3 years, showcasing a track record of enhancing individual and team skills.

• Strong leadership presence with the ability to both strategically manage and implement tasks tactically in a fast-paced, high-mix production environment.

• Outstanding communication, organizational, and situational skills; excels navigating and working in ambiguity and driving clarity across global teams.

• Strong proficiency in ERP systems (preferably SAP / APO / S4 HANA) with deep understanding of MRP, inventory management, and capacity/factory scheduling concepts.

• Track record of owning responsibility for process improvement and inspiring changes across functions to achieve results.

Ways to stand out from the crowd:

• Direct experience managing CM operations for complex, system-level manufacturing (e.g., data center, networking, server, or other complex builds).

• APICS / CPIM certification and application of supply chain planning frameworks in real-world execution.

• Demonstrated success implementing digital planning tools, analytics dashboards, or automation initiatives.

• Strong ability to adjust and a proactive approach to tackling intricate planning responsibilities when required.

• Passion for people development, building strong teams, and encouraging collaboration across diverse time zones and cultures.

What we need to see:

• Act as the critical link within Operations to Demand Planning and the Business Units to set priorities and supply strategies.

• Own operations' supply commitment for multiple networking products like Adapters, Switches and Interconnect that the rest of NVIDIA will rely on to make customer and revenue commitments.

• Craft an optimized requested production schedule considering lot-sizing, priorities, constraints for NVIDIA's execution teams and contract manufacturers globally.

• Guard NVIDIA's liability by working to reduce excess and tightly coordinating with the BU on demand and flexibility trade-offs to ensue every additional liability generated has been carefully weighed.

• Often, there will be capacity, materials, and production issues that will prevent satisfying all demand. You will be planning's person in charge to determine tradeoff options and work with internal partners to craft the efficient plan.

• Analyze demand shortfalls and changes in supply to prepare a weekly supply summary to management.

• At NVIDIA, we keep striving for continuous improvement with our partners. Our team will provide suggestions to the management team of NVIDIA and its subcontractors on how to pursue a higher performance level on our Key Performance Indexes.

What we need to see:

• 8+ years of working experience in the semiconductor planning field.

• Bachelor’s degree in industrial engineering, Business Administration, Computer Science, Mathematics, Economics or relevant areas or equivalent experience.

• Strong communication, problem-solving, teamwork, organizational, and quantitative skills - Proven track record to automate and improve processes and inspire changes cross-functionally to get the results.

• Experience in supply chain management and planning system implementation. An in-depth understanding of MRP concepts and systems such as SAP / APO.

• Personality: highly organized, detailed orientated, a self-starter with a strong sense of ownership.

Ways to stand out from the crowd:

• To demonstrate consistently the ability to drive solutions to real world operational problems that hinder our ability to hit the goals.

• To lead internal and external team members with interpersonal skills to establish preventive action plans that can improve the overall performance of the company.

• Capability to independently analyze and understand problem at hand and derive meaningful plan for improvement and influence management decisions.

• Direct experience with build-to-order and configure-to-order products and associated supply-chain.

Production engineering is a discipline that involves designing, building, and maintaining large-scale production systems with high efficiency and availability. It encompasses various areas, including software and systems engineering practices, storage, data management, and services. Production Engineers are highly specialized and possess expertise in different domains, such as storage architecture, high-performance distributed storage, data management, systems, networking, coding, database management, capacity planning, continuous delivery and deployment, as well as open-source cloud-enabling technologies like Kubernetes, containers, and virtualization. Their responsibilities include ensuring reliable, scalable, high-performance storage solutions, optimizing data placement and access patterns, managing large-scale distributed storage systems, and ensuring low-latency data access for high-performance computing (HPC) and AI/ML workloads.

Storage Production Engineers at NVIDIA ensure that our internal and external-facing GPU cloud services meet reliability and uptime goals as promised to the users while enabling developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency, and performance. This role also requires a mindset focused on automating storage operations, improving data access efficiency, and optimizing storage performance. Much of our software development focuses on optimizing operations through automation, performance tuning, and improving the efficiency of storage and production systems. Since Production Engineers are responsible for the big picture of how our systems interface with each other, we use a breadth of tools and approaches to tackle a broad spectrum of challenges. Practices such as proactive storage performance monitoring, automated fault detection and remediation, scalable data replication strategies, and integration of intelligent caching mechanisms factor into iterative improvements that are key to system reliability and efficiency.

• 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.

• BS degree or equivalent experience in Computer Science, Storage Systems, or a related technical field with 8+ years of practical experience.

• Experience with distributed and high-performance storage solutions, including clustered and parallel file systems, distributed object storage, and enterprise-grade storage systems.

• Solid understanding of block, file, and object storage technologies, including their scalability, reliability, and performance characteristics and standard processes.

• Experience with storage networking protocols such as NFS, SMB, iSCSI, S3, Fibre Channel, RDMA, and NVMe over Fabrics.

• Expertise in algorithms, data structures, complexity analysis, software design, and automating maintenance of large-scale Linux-based storage systems.

• Experience in one or more of the following: C/C++, Java, Python, Go, NodeJS, and Bash for storage automation, monitoring, and performance tuning.

• Hands-on experience with infrastructure configuration management tools like Ansible, Chef, Puppet, and Terraform for automating storage deployments. Experience with observability and tracing tools like InfluxDB, Prometheus, Grafana, and the Elastic stack for monitoring storage system health.

• You should possess excellent written and oral communication skills, excellent work ethics, a deep sense of teamwork, love to produce quality work and commitment to finishing your tasks every single day.

• Deep understanding of large-scale distributed storage architectures, replication strategies, and erasure coding techniques. Experience in capacity planning, performance tuning, and troubleshooting high-throughput storage systems.

• Experience with Git, code review, pipelines, and CI/CD for handling infrastructure as code. Experience in analyzing and improving distributed storage system performance at scale. Strong debugging skills with a systematic problem-solving approach to identify complex storage issues. Proven understanding of network protocols, architectures, and troubleshooting techniques, especially as it relates to storage performance, stability, and availability.

• Experience using or operating private and public cloud storage solutions based on Kubernetes, OpenStack, or hybrid cloud architectures. Ability to design and implement automated storage migration, backup, and disaster recovery strategies. Thrive in collaborative environments and enjoy working with various teams to optimize storage performance. Flexible in adapting to different working styles and emerging storage technologies.

What you'll be doing:

• You will own production wafer supply commitments for multiple products by planning, scheduling, and monitoring wafers through bump and sort

• Collaborate with foundry partners to drive closure of wafer supply shortages

• Coordinate with the backend planning team to understand supply bottlenecks

• Evaluate planning strategies and priority tradeoffs with business unit to optimize supply to meet customer demand and revenue targets

• Influence downstream capacity investment by collaborating with capacity planning

• Analyze weekly supply changes and present to executive management

• Communicate priorities and ensure build plans are met by working closely with planning and execution teams in Asia as well as local and overseas foundry partners

• Lead continuous improvement efforts in support of organizational strategies

What we need to see:

• At least 8+ years of experience in supply chain/operations, preferably with background in semiconductors or wafer/chip planning

• BA/BS degree in Business, Industrial Engineering, Science, or equivalent experience

• Proficiency in Excel, SAP, advanced planning software/ERP, and other business software applications

• Experience in a fast-paced production environment with various constraints

• Proven problem solving, analytical and complex modeling skills

• Ability to work and communicate with senior executive level staff

• Excellent verbal and written communication skills

• Strong collaboration and interpersonal skills

Ways to stand out from the crowd:

• Experience working with foundry partners around the world

• Strong sense of ownership and attention to detail

• Excellent organizational skills, with the ability to manage multiple assignments concurrently

• Ability to find creative, out-of-the-box solutions and approaches to complex problems

• Advanced knowledge of data analytics and data visualization

What you'll be doing:

• Own supply commitments for multiple silicon chip product families that the company will rely on to make customer and revenue commitments.

• Craft an optimized production schedule for multiple products and SKUs considering die and materials availability, capacity, and business unit priorities for NVIDIA's execution teams.

• Drive accurate dependent demands for substrates, memory, and capacity to support chips demand.

• Work closely with the wafer and boards planning teams to ensure chips supply plans are accurate and aligned across planning teams.

• Act as Planning's person in charge driving resolution of supply issues and working cross-functionally across Operations, Engineering, BU, and Demand Planning. Present supply summaries to leadership.

• Apply expertise to understand planning system output and ensure accuracy.

• Work with program managers and engineers to facilitate ramp plans for products from early-stage sampling to mass production.

• Apply innovative solutions to improve data analytics and planning processes

What we need to see:

• This position is a full-time in-office opportunity based in Santa Clara

• 10+ years of working experience in the semiconductor operations field - Supply Planning, Supply Chain, Manufacturing Operations, or Engineering.

• Bachelors degree in Supply Chain or Engineering, or equivalent experience in the semiconductor field.

• Good communication, problem-solving, collaboration, and quantitative skills.

• Proficiency in business software applications such as Microsoft Office, Excel VBA, SAP, Windchill, and Advanced Planning software.

• Language: Excellent English skills on reading, writing, speaking, and listening

• Personality: highly organized, detail oriented, a self-starter with a strong sense of ownership.

Ways to stand out from the crowd:

• Background or experience in engineering, advanced packaging or test operations.

• Proven track record to drive solutions to real world operational problems.

• Proficiency in Tableau, Power BI, Excel VBA, or AI-powered solutions.