Nvidia Senior Solutions Architect Enterprise Grace CPU 

United States, Texas 

972091730

What you'll be doing:

Our day-to-day work involves guiding partners and customers in their adoption of systems and software solutions who are keen to build data centers and HPC infrastructure using NVIDIA's compute, networking, and software stacks. Don't think this is a high-level slideshow job - we are the voice of experience, optimizing code and applications on ARM CPUs, using Kubernetes, SaaS,infrastructure-as-code

• Interact with customers and advise on developing software with reliability and performance on ARM and GPU-accelerated servers and workstations

• Stay updated on the latest NVIDIA ARM architecture, GPU technologies, and GPU programming techniques to incorporate best practices into software development processes

• Develop customer training materials, including user guides, technical documentation, tutorials, and hands-on exercises, to support field engineers and customers in deploying and utilizing NVIDIA ARM solutions

• Review customer developed solutions (SW, system architectures, cluster architectures) for ARM-based systems with discrete GPU support, spot areas of improvements and consult with customers and partners on those improvements

What we need to see:

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). Master's degree preferred

• 5+ years of experience in customer support or engineering support for server CPU, software and Linux operating systems

• Familiarity with GPU architectures and parallel computing concepts

• Experience with software development and debugging tools for ARM

• Strong problem-solving skills and attention to detail

• Excellent communication and teamwork skills

Ways to stand out from the crowd:

• Good understanding of System Software development under Linux, ARM architecture, strong C/C++ programming skills, and experience with formal methods

• Experience with GPU programming languages such as CUDA or OpenCL

• Fortran and MPI experience and or working with the EC2 stack