NVIDIA

Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.

nvidia.com

NVIDIA

Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.

nvidia.com

HQRemote

Team Size42295

Open Jobs992

Total Funding-

Latest Fundraise3 years ago

TL;DR

Founded: 1993

Headcount (approx.): 42,295

Core focus: GPUs, AI computing platforms, systems, and software

Notable software: CUDA, Omniverse

Company Overview

Problem Domain

High-performance computing, AI infrastructure, graphics rendering, networking for data centers, and industrial/autonomous systems.

Founded

1993

Industry

Semiconductors / AI compute / Software platforms

Tech Stack

GPUs (GeForce, Blackwell/GB200 families)

CPU/SoC (Grace Blackwell)

CUDA (parallel-computing platform)

Omniverse

NVIDIA RTX (real-time ray tracing)

DRIVE/Isaac (automotive/robotics stacks)

Networking and DPU products

Funding Track Record

Strategic investments- 2026-01-26

$2 billion

Investment in CoreWeave to expand AI compute capacity.

Strategic investment / equity purchase- 2025-09-18

$5 billion

Purchase of an equity stake in Intel as part of a collaboration.

Strategic investment- 2025-10-30

$500 million - $1 billion (reported)

Reported investment in Poolside as part of a larger funding round.

Founders

What we do

Join the Team

Solutions Architect, Cloud Services

On-SiteTokyo, JP

On-Site • Tokyo, JP

Join us at NVIDIA as a Cloud Services Solutions Architect and help our customers and partners adopt end-to-end AI solutions in the cloud! As a Solutions Architect, you’ll design, configure and deploy AI Training and Inference solutions in Public Clouds, as well as in Private Clouds based on groundbreaking NVIDIA technology. You'll work with customers and partners to deploy and operationalize AI at scale by driving adoption for end-to-end Machine Learning and Deep Learning solutions in the cloud. If you are enthusiastic about projects that push the boundaries and mix latest Cloud technologies with revolutionary AI platforms, then read on!

What You'll Be Doing

Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms
Using your skills in AI, MLOps, ML engineering, DevOps, Kubernetes, and orchestration to deploy hybrid solutions
Work as customer technical specialist to address customer workload, security & privacy and architectural requirements and seek their technical challenges
Deliver customer on-boarding sessions and technical and architecture presentations with NVIDIA AI, Cloud and Networking technologies
Run and own Proof of Concepts (PoCs), introducing NVIDIA Cloud Solutions and integrating them to new and existing accounts
Debug SW issues, provide solutions to customers and report of bugs to NVIDIA’s product organization
Work with NVIDIA’s product and architecture teams by providing customer requirements, feedback and prioritization

What We Need To See

8+ years of foundational expertise in Engineering, Computer Science, Data Science, or a related field
Master’s Degree or Ph.D within Computer Science, Computer Engineering or similar field, or comparable work experience

Ways To Stand Out From The Crowd

Working experience with major or tier-2 cloud service providers (such as AWS, GCP and Azure), or with AI Datacenter Providers or HPC Datacenters
Experience with AI frameworks and tools on GPUs
Ability and wiliness to travel to end customers

NVIDIA is widely considered to be one of the technology world’s most desirable employers with very competitive benefits. We have some of the most forward-thinking and innovative people in the world working for us. If you're creative and autonomous, we want to hear from you!

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Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Software Engineer

ContractCambridge, GB

Contract • Cambridge, GB

Software Engineer

Full-timeCambridge, GB

Full-time • Cambridge, GB

AI Researcher

Part-timeNovi Sad, RS

Part-time • Novi Sad, RS

Frontend Developer

Part-timeHaifa

Part-time • Haifa

Data Scientist

Part-timeManchester, GB

Part-time • Manchester, GB

Data Scientist

Full-timeNew York, US

Full-time • New York, US

3+ years of working experience in DevOps roles in the areas of Cloud Computing, Cluster Orchestration or AI Workloads

Substantial experience in an IT role or alike for HPC or large scale AI systems

In depth knowledge with orchestration platforms like Kubernetes, SLURM or OpenShift

Expertise in Deep Learning and Machine Learning, with experience using deep learning frameworks such as TensorFlow or PyTorch

Ideal candidate should understand how AI and HPC workloads interact with both HW and SW infrastructure

Expert written and oral communication skills with the ability to optimally collaborate with customers, management and engineering

Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects

Strong analytical and problem-solving skills with g ood verbal communication and presentation skills in English