Job Description

Job Description

Role: Nvidia HGX/DGX System Engineer (2 Positions)

Location: Remote (Anywhere in the World)

Duration: Long Term (Part time initially-4 Hours Per Day)

Note: These roles will be initially part time and then full time as per the performance of the candidate

Position Overview:  We are seeking a skilled and experienced system engineer to join our team focused on Nvidia HGX systems. The ideal candidate will have a strong background in designing, deploying, and optimizing high-performance computing (HPC) and artificial intelligence (AI) systems utilizing Nvidia HGX architectures. This role will involve working closely with cross-functional teams to deliver cutting-edge solutions to our customers.

Key Responsibilities:

• Design, configure, and deploy Nvidia HGX-based systems for HPC and AI workloads.
• Collaborate with hardware and software engineering teams to optimize system performance and reliability.
• Develop and maintain documentation for system architecture, configuration, and best practices.
• Provide technical support to customers and internal teams on Nvidia HGX-related issues.
• Stay current with industry trends and advancements in Nvidia GPU technologies.

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Position Overview:  We are looking for a talented software engineer to join our team specializing in Nvidia DGX systems. The successful candidate will be responsible for developing and optimizing software solutions for deep learning and data analytics workflows on Nvidia DGX platforms. This role offers an exciting opportunity to work on cutting-edge technologies and collaborate with leading experts in the field.

Key Responsibilities:

• Design, develop, and optimize software applications for Nvidia DGX systems, focusing on deep learning frameworks, data analytics tools, and system management utilities.
• Collaborate with research scientists, data scientists, and other stakeholders to understand requirements and design efficient solutions.
• Perform benchmarking, profiling, and optimization of software to maximize performance and scalability on Nvidia DGX hardware.
• Contribute to open-source projects and participate in the Nvidia developer community.
• Stay current with advancements in deep learning, data analytics, and Nvidia GPU technologies.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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