Senior Solutions Architect, Generative AI Deployment and AIOps

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 184,000 - 287,500; Full time

Job summary

A leading technology company in Santa Clara is looking for a Solutions Architect to partner with various teams and clients. This role involves understanding technical needs, adopting NVIDIA technologies, and analyzing AI workloads on Kubernetes. The ideal candidate has a strong educational background and extensive experience with deep learning frameworks like PyTorch and TensorFlow, and excellent programming skills in Python. Key responsibilities include collaboration and customer engagement, along with potential travel.

Qualifications

• 8+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow.
• Proficiency in problem-solving and debugging skills in GPU orchestration and Multi-Instance GPU (MIG) management.
• Experience with containerization and orchestration technologies.

Responsibilities

• Partnering with solution architects and teams to define high-value solutions.
• Engaging with developers, scientific researchers, and data scientists.
• Working closely with customers to adopt and build creative solutions.

Skills

Deep Learning frameworks

Python programming

Problem-solving and debugging skills

GPU orchestration

Containerization and orchestration

LLM and DL inference

Presentation and communication skills

Education

BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics or related fields

Tools

PyTorch

TensorFlow

Kubernetes

NVIDIA GPUs

Job description

**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 (20%)**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 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* Excellent 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 platformsYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.You will also be eligible for equity and .Applications for this job will be accepted at least until April 10, 2026.This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.