Solutions Architect, Inference Deployments

NVIDIA Corporation; Santa Clara (CA); On-site; USD 152,000 - 241,500; Full time

Job summary

A leading AI technology company is seeking a Solutions Architect to develop and enhance AI inference solutions using GPU technologies and Kubernetes. This role involves building inference pipelines, orchestrating disaggregated inference, and providing mentorship to teams. Applicants should have 5+ years of experience in Solutions Architecture, strong knowledge of distributed systems, and proficiency with NVIDIA tools. This position offers a competitive salary based on location and experience, with additional equity package opportunities.

Qualifications

• 5+ years in Solutions Architecture with a track record of deploying distributed systems.
• Experience with AI inference workloads and Kubernetes.
• Demonstrated success in tuning large language models.

Responsibilities

• Build inference pipelines with NVIDIA tools, improving efficiency.
• Collaborate with DevOps to orchestrate disaggregated inference.
• Provide mentorship and technical leadership to internal teams.

Skills

Kubernetes

NVIDIA Dynamo

TensorRT-LLM

Distributed systems

AI inference workloads

Education

BS in Computer Science/Engineering or equivalent experience

Tools

NVIDIA Triton Inference Server

NVIDIA GPU Operator

Job description

We’re forming a team of innovators to roll out and enhance AI inference solutions at scale, demonstrating NVIDIA’s GPU technology and Kubernetes. As a Solutions Architect focused on inference, you’ll collaborate closely with our engineering, DevOps, and customers to develop enterprise AI solutions. Together, we'll deliver generative AI to production!**What you'll be doing:*** Build inference pipelines with tools like NVIDIA Dynamo, distributing tasks among GPU workers to improve efficiency.* Collaborate with DevOps teams to orchestrate disaggregated inference using Kubernetes for complex workloads.* Accelerate inference pipelines using TensorRT-LLM, vLLM, SGLang, and other backends to ensure seamless integration with disaggregated inference.* Provide mentorship and technical leadership to customers and internal teams, guiding them through the deployment of disaggregated inference systems and resolving complex issues.**What we need to see:*** 5+ Years in Solutions Architecture with a proven track record of deploying distributed systems and AI inference workloads on Kubernetes.* Experience with one of NVIDIA Dynamo, Triton Inference Server, or TensorRT-LLM for model optimization and serving.* GPU orchestration using NVIDIA GPU Operator, NIM Operator, and Multi-Instance GPU (MIG) partitioning.* Solving sophisticated GPU allocation, memory hierarchies (HBM, DRAM, SSD), and low-latency networking (RDMA, UCX).* Demonstrated success in tuning large language models for low-latency inference in enterprise environments.* BS in CS/Engineering or equivalent experience.**Ways to stand out from the crowd:*** Prior experience deploying NVIDIA inference technologies such as Dynamo, NIM, NIXL and Grove.* Deep understanding of transformer neural network, and inference acceleration technologies like quantization, speculative decoding, WideEP etc.* NVIDIA Certified AI Engineer or similar credentials.* Contributions to open-source projects including NVIDIA Dynamo, vLLM, KServe, or SGLang.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.You will also be eligible for equity and .Applications for this job will be accepted at least until March 3, 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.