Nvidia Senior Solutions Architect HPC Generative AI Deployment 

United States, Texas 

239541918

What You Will Be Doing

• Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions

• Dynamically engaging with developers, scientific researchers, and data scientists, gaining experience across a range of technical areas

• Strategically partnering with lighthouse customers and researchers to help them adopt and build creative solutions using NVIDIA technology

• Analyzing performance and power efficiency of AI workloads on Kubernetes

• Some travel to conferences and customers is required for this role

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)

• 8+ years of hands-on experience with accelerated computing and deep Learning frameworks such as PyTorch

• Experience porting and/or optimizing scientific applications targeting GPUs

• Strong fundamentals in programming and software design, especially in Python and C++

• Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments

• Excellent knowledge of theory and practice of AI at scale

• Excellent presentation, communication and collaboration skills

Ways To Stand Out From The Crowd

• Experience with NVIDIA GPUs and parallel programming libraries, such as CUDA, OpenMP, OpenACC, communication libraries and runtime (MPI, NCCL, UCX, NVSHMEM)

• Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design

• Experience working with academic research community supporting HPC or AI

• Familiarity with distributed computing platforms, containers and scheduling tools

• Prior experience with DL training at scale, deploying or optimizing DL inference in production