Senior Solutions Architect, Enterprise Grace CPU

Key Skills

Aartificial intelligence, Amazon Elastic Compute Cloud-EC2, C Programming, C++, CUDA kernels, GPUs, High performance computing- HPC, Linux Operating system, OpenCL

Job Description

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 tools, network debugging, and problem solving skills to assist our customers in building modern AI factories. We also excel at sharing knowledge with others, whether it's delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs. By collaborating with executives and engineering, we solve complex problems and help bring NVIDIA's premiere technologies to life in the cloud and in the datacenter. Our mission is to solve the problems that nobody else has solved yet, and we need someone to be an instrumental part of that!

• 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

The base salary range is 144,000 USD - 270,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.