Solutions Architect, Inference Deployments

Details

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 (Inference Focus), you’ll collaborate closely with our engineering, DevOps, and customer success teams to foster enterprise AI adoption. Together, we'll introduce generative AI to production!

Responsibilities

• Help customers craft, deploy, and maintain scalable, GPU-accelerated inference pipelines on Kubernetes for large language models (LLMs) and generative AI workloads.
• Enhance performance tuning using TensorRT/TensorRT-LLM, NVIDIA NIM, and Triton Inference Server to improve GPU utilization and model efficiency.
• Collaborate with multi-functional teams (engineering, product) and offer technical mentorship to customers implementing AI at scale.
• Architect zero-downtime deployments, autoscaling (e.g., HPA or equivalent experience with custom metrics), and integration with cloud-native tools (e.g., OpenTelemetry, Prometheus, Grafana).

Requirements

• 5+ Years in Solutions Architecture with a proven track record of moving AI inference from POC to production on Kubernetes.
• Experience architecting GPU allocation using NVIDIA GPU Operator and NVIDIA NIM Operator. Troubleshoot sophisticated GPU orchestration, optimize with Multi-Instance GPU (MIG), and ensure efficient utilization in Kubernetes environments.
• Proficiency with TensorRT-LLM, Triton, and TensorRT for model optimization and serving.
• Success stories optimizing LLMs for low-latency inference in enterprise environments.
• BS or equivalent experience in CS/Engineering.

Ways to Stand Out From the Crowd

• Prior experience deploying NVIDIA NIM microservices for multi-model inference.
• Serverless Inference, knowledge of FaaS patterns (e.g., Google Cloud Run, AWS Lambda, NVCF) with NVIDIA GPUs.
• NVIDIA Certified AI Engineer or similar.
• Active contributions to Kubernetes SIGs or AI inference projects (e.g., KServe, Dynamo, SGLang or similar).
• Familiarity with networking concepts which support multi-node inference such as MPI, LWS or similar.

Benefits

You will also be eligible for equity and benefits.

The base salary range is 148,000 USD - 235,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.