

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
משרות נוספות שיכולות לעניין אותך

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.
משרות נוספות שיכולות לעניין אותך

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
משרות נוספות שיכולות לעניין אותך