What is a Account Executive at NVIDIA? As an Account Executive at NVIDIA, you are at the forefront of the artificial intelligence revolution. You are not just selling hardware; you are positioning comprehensive, full-stack computing platforms that empower enterprises, government agencies, and research institutions to solve the world’s most complex...

What is a AI Engineer? An AI Engineer at NVIDIA designs, builds, and optimizes the systems, models, and infrastructure that power our most advanced AI products—from agentic LLM platforms, CUDA-accelerated runtimes, and DGX Cloud to digital twins in Omniverse that optimize tokens-per-watt across global AI factories. You are the bridge...

What is a AI Solutions Architect at NVIDIA? The AI Solutions Architect at NVIDIA is a high-impact, technical, and customer-facing role positioned at the intersection of cutting-edge hardware engineering and state-of-the-art software systems. As enterprises globally race to adopt generative AI and large language models (LLMs), these architects act as...

What is a Business Analyst? A Business Analyst at NVIDIA is a force multiplier for velocity and scale. You connect complex business needs—spanning semiconductor supply chain, manufacturing, finance, and IT End User Support—to robust, data-driven solutions. Your work directly influences how GPUs and systems move from concept to volume production,...

What is a Data Analyst? A Data Analyst at NVIDIA turns complex, multi‑source data into clear, actionable insights that guide decisions across our fastest-growing businesses—datacenters, AI, supply chain, finance, and enterprise software. You will operate at the intersection of modern data platforms and business-critical decisions, translating raw data into models,...

What is a Data Engineer? A Data Engineer at NVIDIA builds the pipelines, platforms, and services that power everything from finance forecasting and operations quality to cloud gaming telemetry and AI performance analytics. Your work ensures data flows reliably from ERP systems, product telemetry, GPU clusters, and third‑party services into...

What is a Data Scientist? At NVIDIA, a Data Scientist turns massive, heterogeneous data into models, insights, and decisions that power products across AI platforms, gaming, autonomous systems, and developer tools. You will work at the intersection of algorithmic rigor, systems performance, and product impact, shaping how users experience AI—from...

What is a DevOps Engineer? A DevOps Engineer at NVIDIA is a force multiplier for engineering velocity. You will design and operate CI/CD platforms, build systems, and production-grade infrastructure that power everything from CUDA Math Libraries and compiler toolchains to DGX Cloud services and AI inference platforms. Your work directly...

What is an Embedded Engineer? An Embedded Engineer at NVIDIA builds the foundational software that enables our GPUs, SoCs, and platforms to reliably boot, communicate, schedule, and perform at world-class levels. You will work where hardware meets software—from firmware and bootloaders to RTOS kernels, virtualization layers, and high-performance device drivers....

What is a Engineering Manager? An Engineering Manager at NVIDIA is a deeply technical leader who builds high-performance teams and high-impact products. You will connect architecture, systems software, and product needs to ship reliable, scalable solutions that power everything from data center GPUs and diagnostics to generative AI for gaming...

What is a GenAI Engineer at NVIDIA? As a GenAI Engineer at NVIDIA, you will play a pivotal role in shaping the future of generative artificial intelligence (AI) within a company renowned for its innovation in computing. This position is crucial not only for the advancement of NVIDIA's product offerings...

What is a Machine Learning Engineer? A Machine Learning Engineer at NVIDIA builds, optimizes, and ships AI systems that run at the cutting edge of GPU-accelerated computing. Your work enables breakthrough capabilities across robotics (Isaac + GR00T/Cosmos), AI for graphics and gaming (AI4G), digital biology, and accelerated classical ML in...

What is a Marketing Analytics Specialist at NVIDIA? The Marketing Analytics Specialist at NVIDIA plays a pivotal role in shaping the company's marketing strategies through data-driven insights. This position is crucial for understanding market trends, customer behavior, and campaign effectiveness, ultimately driving the success of NVIDIA's diverse product offerings. By...

What is a Network Engineer? At NVIDIA, a Network Engineer designs, builds, and operates the ultra-high-speed fabrics that power AI, HPC, and large-scale GPU clusters. Your work makes the difference between a lab demo and a production platform that trains trillion-parameter models on time and at scale. From InfiniBand and...

What is a Product Manager? A Product Manager at NVIDIA drives the strategy and execution for products that power the world’s most advanced AI, accelerated computing, simulation, and robotics workloads. You translate developer and customer needs into clear roadmaps for platforms such as DGX and DGX SuperPOD, CUDA and SDKs,...

What is a Project Manager? Project Managers at NVIDIA are execution leaders who translate ambitious ideas—AI platforms, cutting-edge silicon, high-performance software, autonomous vehicles, and data center systems—into shipped, reliable products. Whether titled Program Manager, Technical Program Manager (TPM), or Operations PM, you orchestrate cross-functional delivery across hardware, software, manufacturing, and...

What is a QA Engineer? A QA Engineer at NVIDIA ensures that the technologies powering accelerated computing—GPUs, interconnects, datacenter systems, software stacks, and customer-facing tools—are reliable, performant, and production-ready. You translate product requirements into test strategies, automation, and rigorous validation, closing the gap between design intent and real-world behavior. Whether...

What is a Research Analyst at NVIDIA? The Research Analyst at NVIDIA plays a pivotal role in shaping the future of technology through advanced research and analysis. This position is crucial for driving innovations that enhance NVIDIA's product offerings, helping to maintain its dominant position in the graphics processing and...

What is a Research Engineer at NVIDIA? As a Research Engineer at NVIDIA, you play a pivotal role in shaping the future of generative AI. This position is at the forefront of innovation, where your contributions directly influence the development of next-generation software and algorithms that power NVIDIA's cutting-edge technologies....

1. What is a Research Scientist at NVIDIA? As a Research Scientist at NVIDIA, you are at the absolute forefront of the artificial intelligence revolution. NVIDIA is not just a hardware company; it is the engine powering modern AI, rendering, autonomous vehicles, and robotics. In this role, your primary objective...

What is a Security Engineer? A Security Engineer at NVIDIA safeguards the platforms that power AI research, GPU-accelerated data centers, and cloud-delivered services like DGX Cloud and NGC. You will design, implement, and operate security controls that protect everything from high-throughput, low-latency networks to the firmware and boot chains that...

What is a Software Engineer? A Software Engineer at NVIDIA builds the software that powers the world’s leading AI, graphics, and accelerated computing platforms. You will design and ship high‑performance systems that interact closely with GPUs, DPUs, OS kernels, distributed runtimes, and cloud infrastructure. From CUDA kernels and compiler toolchains,...

What is a Solutions Architect at NVIDIA? A Solutions Architect at NVIDIA is a highly technical, customer-facing role that sits at the intersection of cutting-edge hardware engineering, advanced software development, and strategic business deployment. Unlike traditional solutions architect roles that rely primarily on high-level slide decks and conceptual designs, NVIDIA's...

What is a UX/UI Designer? A UX/UI Designer at NVIDIA turns cutting‑edge computing—AI, accelerated data centers, robotics, autonomous vehicles, and 3D simulation—into clear, usable, and trusted experiences. You translate complex concepts like model training, simulation pipelines, or GPU provisioning into flows that help researchers, creators, and enterprises get real work...