Company Description

Role: Nvidia HGX System Engineer

Location: Remote (Anywhere in the World)

Duration: 12 Months

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.

Qualifications:

• Bachelor's degree in computer science, electrical engineering, or related field. Master's degree preferred.
• Proven experience with Nvidia HGX architectures and related technologies.
• Proficiency in system administration and configuration management tools.
• Strong understanding of HPC and AI workloads and their requirements.
• Excellent problem-solving and communication skills.
• Ability to work independently and collaborate effectively in a team environment.

Preferred Qualifications:

• Nvidia Certified System Engineer (NCSE) certification.
• Experience with containerization technologies such as Docker and Kubernetes.
• Familiarity with Nvidia GPU programming frameworks such as CUDA and cuDNN.

Additional Information

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