Nvidia Solutions Architect Generative AI Inference Deployment 

United States, Texas 

537406415

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 industry-specific solution partners targeting our computing platform

• Working closely with customers to help them adopt and build creative solutions using NVIDIA technology and MLOps solutions

• Analyzing performance and power efficiency of AI inference workloads on Kubernetes

• Some travel to conferences and customers may be required

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)

• 5+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow

• Strong fundamentals in programming, optimizations, and software design, especially in Python

• Proficiency in problem-solving and debugging skills in GPU orchestration and Multi-Instance GPU (MIG) management within Kubernetes environments

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

• Strong knowledge of the theory and practice of LLM and DL inference

• Excellent presentation, communication and collaboration skills

Ways To Stand Out From The Crowd:

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

• Experience with NVIDIA GPUs and software libraries such as , , ,

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

• Familiarity with parallel programming and distributed computing platforms