Jobs at NVIDIA

Positions 7,239

NVIDIA, founded in 1993, pioneered GPU acceleration and now leads in AI, gaming, data center, and automotive sectors.

Positions span software engineering, GPU architecture, AI research, data science, product management, and sales engineering. Candidates encounter rigorous technical interviews, collaborative cross‑functional teams, and opportunities to work on GPU‑accelerated workloads.

Job Transparency’s listings show each NVIDIA role’s advertised salary range, employee reviews, and hiring trends, letting you benchmark offers, assess market value, and negotiate with confidence.

Senior Signal Integrity Design Engineer

Company: NVIDIA

Location: South Bay

Posted Jan 22, 2025

NVIDIA is seeking a Senior Signal Integrity Design Engineer with 3+ years of industry experience. The role involves crafting creative solutions to complex system design problems, modeling and optimization of system components, and system-level signal integrity simulations. The ideal candidate should have expertise in high-speed interface SI/PI design, experience with lab measurements, and knowledge of circuit design, board/package technology, and design flow. NVIDIA offers a competitive salary range of $128,000 - $258,750 USD, equity, and benefits. The company is committed to fostering a diverse work environment.

Senior Product Data Analyst

Company: NVIDIA

Location: Santa Clara, CA

Posted May 22, 2025

Deliver insights across the entire product lifecycle, including product trials, onboarding, license activation, feature adoption, usage behavior, retention, and…

PCIe Design Engineer

Company: NVIDIA

Location: Other US Location

Posted Jan 27, 2025

NVIDIA is seeking a skilled ASIC Design Engineer to design and implement PCI Express controllers for their leading SoCs and GPUs. The role offers the opportunity to significantly impact product lines ranging from consumer graphics to self-driving cars and AI. The ideal candidate should have a BS/MS in relevant field, 3+ years of design experience, and expertise in Verilog. Experience in high-speed IO controllers like PCI Express and knowledge of the PCI Express Protocol (Gen 3 and above) are plusses. Good debugging skills, scripting knowledge (Python/Perl/shell), and strong interpersonal skills are also desired.

Wi-Fi and BT Software Engineer

Company: NVIDIA

Location: Santa Clara, CA

Posted Jun 26, 2025

NVIDIA is looking for outstanding Software Development Engineers to join our outstanding Networking Software engineering team, developing driver, protocols and…

Senior Inference Technical Product Marketing Manager - Accelerated Computing

Company: NVIDIA

Location: Santa Clara, CA

Posted Jun 06, 2025

A BS Degree in Computer Science or Engineering or related field or equivalent experience in a technical product marketing role; Masters Degree preferred.

Senior Account Program Manager, Creative Operations - Events

Company: NVIDIA

Location: Santa Clara, CA

Posted May 22, 2025

Drive at all levels of the business from confidently navigating high-pressure decision making with executives to leading technical conversations with production…

Data Analyst, Finance

Company: NVIDIA

Location: Santa Clara, CA

Posted May 21, 2025

Collaborate within Finance and cross-functional teams (e.g., FP&A, Accounting, Procurement, Treasury, Ops, Sales Ops) to define reporting requirements, document…

Solutions Architect - Cloud Providers and Hyperscale

Company: NVIDIA

Location: Santa Clara, CA

Posted Apr 01, 2025

Primary responsibilities will be to lead technical engagements with customers as they integrate, optimize, and apply NVIDIA’s hardware and software technologies…

Solutions Architect, Networking - Cloud Service Providers

Company: NVIDIA

Location: Seattle, WA

Posted Jan 13, 2025

NVIDIA is seeking an experienced Solutions Architect to develop accelerated computing networking solutions for AI/ML and HPC with Hyperscaler customers. The role involves working closely with strategic customers, offering technical expertise, and supporting hardware and software solutions. Key responsibilities include developing and demonstrating solutions, debugging issues, leading feature requests, and coordinating co-engineering programs. The ideal candidate should have a background in Electrical/Computer Engineering, Computer Science, Physics, or related fields, with expertise in dense datacenter design, Ethernet networking protocols, and systems engineering skills.

Senior Solutions Architect, Cloud Infrastructure and DevOps - NVIS

Company: NVIDIA

Location: South Pasadena, CA

Posted May 12, 2025

Being a technical resource, develop, re-define and document standard methodologies to share with internal teams Support Research & Development activities and…

Technical Marketing Manager - Data Center Infrastructure

Company: NVIDIA

Location: Santa Clara, CA

Posted Jun 06, 2025

Work with our sales organization to develop effective sales collateral and tools. Experience and awareness of the data center design and simulation tools and…

Powerpoint Presentation Graphic Designer

Company: NVIDIA

Location: Santa Clara, CA

Posted May 19, 2025

A BFA, BS, or MFA in Graphic Design or equivalent field (or equivalent experience). Demonstration of the fundamental principles of graphic design for brand,…

Frequently Asked Questions

What is it like to work at NVIDIA?
NVIDIA’s culture values innovation, inclusion, and continuous learning. Employees report high autonomy, access to cutting‑edge tools, and a mission‑driven environment that encourages experimentation across GPU, AI, and autonomous driving. Remote work options exist for certain roles, and the company offers generous equity, health benefits, and learning budgets.
What types of positions does NVIDIA offer?
NVIDIA hires across engineering (software, hardware, GPU architecture), research (AI, machine learning), data science, product strategy, marketing, sales engineering, and support roles. The company also has positions in operations, finance, and legal to support its global tech ecosystem.
How can I stand out as an NVIDIA applicant?
Show deep technical expertise by contributing to open‑source GPU or AI projects, demonstrate familiarity with CUDA or TensorRT, and provide portfolio work that showcases performance optimization. Tailor your resume to the job description, quantify achievements, and prepare for behavioral questions that emphasize problem‑solving, collaboration, and a passion for AI.

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