Solutions Architect, Inference Deployments

NVIDIA Corporation; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is hiring a Solutions Architect focused on AI inference to design and deploy scalable inference pipelines on Kubernetes and GPU clusters. You will collaborate with engineering and customer teams to deliver enterprise AI solutions and production-grade inference systems.

You will optimize models with Dynamo/Triton/TensorRT-LLM, supervise GPU allocation, and guide disaggregated inference deployments, while mentoring peers through complex issues and deployments.

Qualifications

• 5+ years of experience as a Solutions Architect or in a similar role deploying distributed AI inference workloads on Kubernetes.
• Experience with model optimization and serving using one of NVIDIA Dynamo, Triton Inference Server, or TensorRT-LLM.
• Knowledge of GPU allocation, memory hierarchies (HBM, DRAM, SSD), and low-latency networking (RDMA, UCX).

Responsibilities

• Build inference pipelines with tools like NVIDIA Dynamo and distribute tasks among GPU workers.
• Collaborate with DevOps to orchestrate disaggregated inference using Kubernetes for complex workloads.
• Accelerate inference pipelines using TensorRT-LLM, vLLM, SGLang and integrate with disaggregated inference backends.
• Provide mentorship and technical leadership to customers and internal teams during deployments.

Skills

Distributed systems

Low-latency inference

Mentorship

Customer collaboration

Education

Bachelor's degree in CS/Engineering

Tools

Kubernetes

NVIDIA Dynamo

Triton Inference Server

TensorRT-LLM

NIM Operator

vLLM

KServe

SGLang

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 for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 19, 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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.