דרושים Reliability Testing Intern Operations - Summer ב-אנבידיה ב-ארהב

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:

• 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

What you will be doing:

• The team will provide their services 24/7 with a follow-the-sun environment which will span continents. You will report directly to a manager in the United States.

• Some CIS shifts require either a Saturday or Sunday each week. The hours worked may include an early or late start (10hrs-per-day x 4 days-per-week schedule) to ensure that the combination the US and India teams provide 24/7 coverage.

• Every CIS team member will use alerts and alarms to help prevent issues and incidents when possible. You may also work with the developer community to develop and implement predictive support or diagnostic routines.

• Perform systems administration tasks, network administration tasks, security incident monitoring to drive our actions.

• CIS team members will work with developers to learn how the service works, then translate that understanding into runbooks which the entire team will use. As new features and functionality are added, you will also update and evolve the runbooks as needed.

• Help discover incidents and issues, including initiating the incident management procedure.

• Bring in subject matter authorities or service owners as needed to resolve issues. Feedback will help us continually improve our service.

• Your interpersonal skills will help keep the team engaged through resolution and ensure our clients believe we value their time and effort. May perform other tasks that will help us provide extraordinary service levels for our customers.

What we need to see:

• Highly motivated with strong communication skills, you have the ability to work successfully with multi-functional teams, principles, and architects, coordinating effectively across organizational boundaries and geographies.

• 5+ years of experience administering large-scale production systems. 3+ years of experience in high-availability Internet, Cloud, or Data Center environments (Systems Administration, SRE, or NOC).

• BS in Computer Science, Engineering, Physics, Mathematics, or equivalent experience.

• Expert-level knowledge of Linux system administration and automation using Ansible and/or Python.

• Strong experience with shell scripting, DNS, DHCP, storage systems, and core networking (IP Tables, routing, firewalls).

• Experience with at least one workload manager (Slurm preferred) or job scheduling system in a production environment.

• Strong experience troubleshooting and maintaining large-scale bare-metal infrastructure. Strong cross-team collaboration, documentation, and mentoring skills.

• Experience improving processes for automation, reliability, and operational excellence.

• Expertise using monitoring tools and problem ticketing systems. Strong problem-solving, analytical, and troubleshooting abilities.

Ways to Stand Out from the Crowd:

• Advanced hands-on experience with Kubernetes, SLURM, and large-scale cluster management.

• Familiarity with GPU hardware and high-performance computing environments.

• Experience with observability and incident management tools (Grafana, OpenTelemetry, PagerDuty, JIRA). Cloud experience (AWS, Azure, GCP) is a plus; strong preference for on-prem expertise.

We need aSystem Fault Isolation Internwith expertise in physics, process andpackage technologies,

What you'll be doing:

• Gain experience in debugging product failures at the die, package, component, and board level

• Develop a working understanding of EFA and PFA techniques and tools including curvetracing, Electro-OpticalTerahertz Pulse Reflectometry (EOTPR), Vector Network Analyzer (VNA), Scanning Acoustic Microscopy (SAM), X-ray Computed Tomography (CT), Laser Voltage Probing (LVP),Optical/Electron/AtomicForce Microscopy, andUltra-thinning/delayeringand cross sectioning sample preparation techniques

• Build knowledge surrounding the interactions between process technology, physical design, and circuit design

• Develop innovations to help enhance the capability and efficiency of FA processes

What you need to have:

• Pursuing a Bachelors or Masters degree in Electrical/Computer Engineering, Chemical Engineering, Materials Science/Engineering, Physics, or other related field

• Lab experience with electrical and materials characterization tools

• Experience in one or more areas across silicon process technology, VLSI design, and FA tools such as Curve Tracer, SEM, Lock-in Thermography, Pulse Reflectometry, LVP, etc.

• Excellent communication skills and teamwork both cross-functionally and between companies

Ways to stand out from the crowd:

• Practical experience in silicon technology and/or design

• In-depth understanding of IC fabricationprocesses, electroniccircuit analysis, and semiconductor physics

• Hands-on experience with FA related analytical tools

• Ability to build, train, and maintain AI models

• Experience working with global teams

You will also be eligible for Intern