Solutions Architect, Inference Deployments at NVIDIA

Santa Clara, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

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
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

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)

Skills

Kubernetes

TensorRT

TensorRT-LLM

NVIDIA NIM

Triton Inference Server

GPU Operator

NVIDIA NIM Operator

Multi-Instance GPU

MIG

HPA

OpenTelemetry

Prometheus

Grafana

LLMs

generative AI

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

Land your dream remote job 3x faster with AI

Try Jobo Free