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What you will be doing:
Partnering with engineering, product, and business teams, understanding their strategies and technical needs, and helping define high-value solutions
Supporting Higher Education and Research customers and drivingresearch/influencing/new
Dynamically engaging with developers, scientific researchers, and data scientists, which will give you experience across a range of technical areas
Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform
Working closely with customers to help them adopt and build solutions using NVIDIA technology
Leading project collaboration on NVIDIA DOCA DPU
What we need to see:
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
5+ years of hands-on experience, primarily with Machine Learning and Deep Learning software architecture and frameworks
Excellent programming skills in rapid prototyping environments such as Python, C++ and parallel programming (e.g., CUDA) is a plus.
Experience with NVIDIA GPUs and software libraries, working with engineering or research community
Expertise with deep learning frameworks such as PyTorch.
Excellent knowledge of the theory and practice of Generative AI and Large Language Models
Strong problem-solving and debugging skills
Excellent presentation, communication, and collaboration skills
Strong written and oral communication skills in English.
Ways to stand out from the crowd:
Good knowledge of NVIDIA’s DOCA technology
Excellent knowledge of Efficient, Lower-Precision AI Training
Experience working with academia and the government
Experience with parallel programming and distributed computing platforms
Good track record of research publications
These jobs might be a good fit

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What you’ll be doing:
Customer Satisfaction: Manage RMA cases and lead all aspects of replacement part fulfillment to clear the open RMA backlog per Service Level Agreements. Work with account teams to prioritize backlog in case of supply constraints.
Case Management : Attend customers meeting, provide accurate and up-to-date information on case status, track of customer feedback and develop strategies to improve the overall customer experience.
Metrics and Improvement : Generate case management metrics and analyze data to identify process improvement opportunities. Publish weekly status updates on open RMAs – supply commits, ready for pickup, shortage alerts.
Collaboration: Work closely with quality and manufacturing teams to effectively communicate RMA updates and statuses to customer account teams. Facilitate seamless information flow between teams to provide exceptional customer support.
Uptime and Buffer Stock: Track key customer installations uptime and work with planning team to maintain buffer stock near customer sites to proactively address potential supply shortages.
Supply Allocation: Collaborate with production and repair factory planners to map out supply allocations for the open RMA backlog. Optimize resource allocation for timely resolution.
What we need to see:
Bachelor's degree in a relevant field such as Quality Assurance, Business Administration, Engineering, Supply Chain Management, or related fields.
5+ years of relevant experience
Strong analytical and problem-solving skills to identify improvement opportunities and drive effective solutions.
High proficiency in providing clear and concise graphs, metrics, and data visualizations to support decision-making and performance tracking.
Customer-centric approach with a focus on delivering exceptional service and maintaining positive relationships.
Excellent presentation skills with the ability to convey complex information in a compelling and understandable manner.
Proficiency in presenting data-driven insights to diverse audiences, including Directors, Managers, team members, stakeholders, and customers.
Excellent communication skills, both written and verbal, to facilitate effective collaboration with cross-functional teams and customers.
Knowledge of supply chain dynamics, inventory management, and case management applications is advantageous.
These jobs might be a good fit

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You will be reporting to QA-RMA Manager.
What you’ll be doing:
Manage customer complaints related to RMA and responses timely and ensure effective communication of information between customer and internal engineering teams for issue solving.
Support project implementation, such as additional process implementation, CRM enhancement with IT.
Ensure effective communication between customer and internal teams and regular review project progress.
Conduct RMA QA Analysis daily with collecting/reviewing customer data to achieve the RMA Approval TAT.
Support data analysis and reporting to internal engineering teams and top management.
What we need to see:
Bachelor’s degree in Electronics/Computer Engineering or equivalent education or equivalent experience.
8+ years of customer quality experience in electronics products.
Experience in quality operation in RMA.
Strong ability on data analysis and familiar with QA analysis tools.
Good verbal and written communication skills in English and Chinese.
Ways to stand out from the crowd:
In depth experience in customer complaint handling and understanding what customer need in quality.
Good experience in SAP/ Data Analysis.
Strong background of technical/debug skills in test methodology.
Good experience in programming and using Excel, JMP Analysis.
These jobs might be a good fit

Share
What you will be doing:
Partnering with engineering, product, and business teams, understanding their strategies and technical needs, and helping define high-value solutions
Supporting Higher Education and Research customers and drivingresearch/influencing/new
Dynamically engaging with developers, scientific researchers, and data scientists, which will give you experience across a range of technical areas
Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform
Working closely with customers to help them adopt and build solutions using NVIDIA technology
Leading project collaboration on NVIDIA DOCA DPU
What we need to see:
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
5+ years of hands-on experience, primarily with Machine Learning and Deep Learning software architecture and frameworks
Excellent programming skills in rapid prototyping environments such as Python, C++ and parallel programming (e.g., CUDA) is a plus.
Experience with NVIDIA GPUs and software libraries, working with engineering or research community
Expertise with deep learning frameworks such as PyTorch.
Excellent knowledge of the theory and practice of Generative AI and Large Language Models
Strong problem-solving and debugging skills
Excellent presentation, communication, and collaboration skills
Strong written and oral communication skills in English.
Ways to stand out from the crowd:
Good knowledge of NVIDIA’s DOCA technology
Excellent knowledge of Efficient, Lower-Precision AI Training
Experience working with academia and the government
Experience with parallel programming and distributed computing platforms
Good track record of research publications
These jobs might be a good fit