System Fault Isolation Intern Operations - Summer jobs at Nvidia

What you'll be doing:

• Onboard new repair partners and manage day-to-day repair operations across our sites, ensuring all facilities achieve turnaround time and quality targets.

• Lead daily operational reviews with repair partners to track key operational metrics, resolve bottlenecks, and enforce accountability for on-time delivery and repair commitments.

• Function as the key intermediary between repair partners and NVIDIA internal teams — Engineering, Quality, Procurement, Logistics, and Planning — to set shared goals and overcome barriers to meeting targets.

• Drive continuous improvement in repair processes, capacity utilization, yield, and quality through structured root-cause and corrective-action initiatives.

• Coordinate repair commit performance (planned vs. actual), monitoring metrics such as on-time completion rate, FA/bonepile recovery time, turnaround time, and test yield.

• Evaluate capital expenditures and repair expenses, and hold quarterly business meetings with repair collaborators.

• Partner with Engineering and Quality to implement repair process controls, engineering change management, and compliance audits.

• Work with Planning and Procurement to ensure supply chain readiness for new service offerings and ongoing repair builds.

• Champion operational excellence by ensuring sites meet quality and delivery commitments, improving metrics.

What we need to see:

• Bachelor’s degree in Engineering, Operations, Supply Chain, or equivalent experience.

• 15+ overall years of hands-on operations experience managing technology repair, refurbishment, or production environments.

• 8+ years ofmanagement/leadershipexperience in reverse logistics or repair operations, including managing multiple sites and vendors (domestic and international).

• Established record of managing daily factory performance, tracking critical metrics, and ensuring vendor accountability.

• Strong understanding of OEM server, PCBA, and system test processes.

• Experience implementing process improvements, capacity planning, and inventory control systems at repair or manufacturing facilities.

• Demonstrated ability to lead cross-functional teams (Engineering, Quality, Planning, Procurement) and deliver measurable performance gains.

• Data-driven decision maker with excellent problem-solving, communication, and vendor management skills.

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

What you’ll be doing:

• Develop and test sample applications for chemistry and materials discovery using artificial intelligence.

• Help develop AI first workflows using NVIDIA technology and popular deep learning frameworks.

• Create clear, practical examples and documentation for developers and researchers.

What we need to see:

• Pursuing a PhD in Chemistry, Materials Science, Computer Science, or a related field.

• Familiarity with AI/ML concepts and experience with at least one deep learning framework (e.g., PyTorch, TensorFlow).

• Basic understanding of chemistry or materials science principles.

Ways to stand out from the crowd:

• Experience with GPU programming or CUDA and machine learning frameworks such as PyTorch.

• Contributions to open-source projects related to AI or scientific computing.

• Coursework or projects involving AI for scientific applications.

You will also be eligible for Intern

What You'll be Doing:

• Study and explore innovative techniques in bioinformatics, graph algorithms, machine learning, develop, deploy, and deliver brand-new computing software for a diverse array of bioinformatics applications used globally

• Perform detailed performance analysis and optimization to ensure optimal performance on current and next-generation GPU architectures.

• Collaborate with lighthouse clients and academic collaborators to understand their current and future challenges and provide outstanding HPC solutions.

• Collaborate closely with hardware engineering, CUDA engineering, and AI research groups to apply the latest technology to enable novel genomic analysis at scale.

What We Need to See:

• Bachelor's / Master's degree in Computer Science, a related technical field, or equivalent experience.

• 5+ years of experience n related field.

• Solid understanding of C/C++, CUDA, software design, and programming techniques.

• Experience with the design and implementation of sophisticated algorithms and data structures.

• Experience with GPU programming, debugging and performance tuning on NVIDIA GPUs.

• Knowledge and understanding of parallel programming, thread programming, concurrency control, memory management and scalability.

• Strong understanding of computer system architecture and operating systems.

Ways To Stand Out from the Crowd:

• Hands-on experience in using LLM, Graph Neural Network, Graph Transformer Network particularly those applied to genomics data.

• Strong collaborative and interpersonal skills to effectively guide and influence within a multifaceted, technical environment.

• Breaking a sophisticated problem to smaller modules that are fairly independent.

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:

• Develop methods, execute performance tests, and analyze data for IC components and board-level product certifications.

• Participate in research and development of novel IC qualification processes.

• Review and interpret equipment manuals, schematics, and technical documents to support equipment setup, calibration, and installation.

• Assist engineers with analysis tasks, including equipment setup, sample preparation, basic thermal/power characterization, and troubleshooting of test equipment.

• Support reliability lab operations by contributing to test requirement assessments, metrology design/optimization, and mechanical fixture assembly/debug.

• Prepare and deliver project updates and lessons learned to the team.

What we need to see:

• Currently pursuing a masters degree in Materials Science, Mechanical Engineering, or a related field.

• Knowledge with IC packaging, reliability testing, and semiconductor technologies.

• Knowledge withpackaging/test/failureanalysis lab equipment is a plus.

• Knowledge of CAD/SolidWorks or similar design software is desirable.

• Strong problem-solving skills, attention to detail, and ability to work both independently and collaboratively.

• Excellent communication skills, with the ability to document and present technical findings clearly.

Ways to stand out from the crowd:

• Knowledge in IC packaging and physics of failure

• Experience in high power testing, such as Hipot, SIR, ECM

• Experience in image processing

You will also be eligible for Intern