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Industry: Computer Hardware Manufacturing
Company Size: 10,001+ employees

NVIDIA AI

Savvy Admin PROD

Job Requisition ID

JR2012616

Job Category

Engineering

Time Type

Full time

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

The complexity of the chip has greatly increased over the years. We are now packing tens of billions of transistors in a chip to meet the growing computing demand in a footprint that is responsible to our environment. The NVIDIA System-On-Chip (SOC) group is seeking a top SOC Verification Engineer to verify the design and implementation of the world’s leading networking SoCs. In this position, you will get the opportunity to craft complex networking chips and interact directly with architects, designers, and software engineers across sites. This is your chance to shape the future of computing with a world-class team!

**What You'll Be Doing**

- As a Senior SOC Verification Engineer at NVIDIA, you will technically lead a team of engineers and be responsible for verifying design, architecture, and micro-architecture using advanced verification methodologies.

- Define the verification scope and contribute to the development of the verification infrastructure for SOC clock networks.

- Verify firmware code, with a specific focus on hardware/firmware interactions.

**What We Need To See**

- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field (or equivalent experience).

- 8+ years of proven experience in SOC verification.

- Proficiency in verification methodologies, including crafting reusable verification components.

- Knowledgeable in verification using random stimulus, functional coverage, and assertion-based verification methodologies.

- Proficiency in Object-Oriented Programming with SystemVerilog.

- Proficiency in UVM methodology.

- A passion for debugging and outstanding problem-solving skills.

- Strong communication skills are required.

**Way To Stand Out From The Crowd**

- Technical leadership experience.

- Prior verification experience related to clock networks is a huge plus.

- Experience debugging embedded boot and reset sequences.

- Experience writing verification plans.

- A strong focus on verification and intuition.

NVIDIA has some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry! Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Senior SOC Verification Engineer

Job Requisition ID

JR2018660

Job Category

Engineering

Time Type

Full time

We are seeking Systems Quality and Reliability Engineer to join our LPU team!

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence!

**What You'll Be Doing**

You will own, build, and manage the RMA and FA debug and root-cause analysis for existing and new NVIDIA AI/ML products. You will conduct tests, and root-cause analysis. Other responsibilities include:

- Conduct and lead debug and root-cause analysis of field RMAs. Collaborate with Systems Engineers, Hardware engineers, Software engineers, and operations engineers as required

- Scale root cause FA capabilities within your organization

- Create FA result reports that align with standard 8D or similar process

- Analyze RMA, FA and repair data. Identify trends and raise quality alerts when necessary. Drive resolution, containment, and mitigation plans for such quality alerts

- Oversee hardware quality performance, monitoring field quality data and associated metrics including RMA rates, MTBF, and Reliability Ratio

- Manage operational perf of FA at CMs, ensuring partner achieve key perf indicators including FA cycle times, fault duplication rates and fault isolation rates

- Oversee the setup of new products into Failure Analysis operations

**What We Need To See**

- BS/MS in EE, Physics or a related degree (or equivalent experience)

- 5+ yrs of hands on systems test and/or validation engineering experience

- Proven hands-on experience in systems quality and reliability Engineer

- Competence using lab equipment such as oscilloscopes, logic analyzers, power analyzers etc.

- Experience with enabling reliability tests such as HTOL and quality tests such as Burn in

- Ideal candidate will have working knowledge of FA techniques and tools such as FIB, SEM, TDR, VNA and CSAM

- Strong knowledge of Fault isolation techniques such as OBIRCH, DLS/LADA, LVP and LVI

- Proficiency with high speed interfaces (SerDes, PCIe, DDR)

- Proficiency in Python, PERL, C++, or other languages on UNIX /Linux

- Excellent knowledge of PCB card and system level test and debug as well as be able to manage factory floor partners (CMs) for RMA/FA activities

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology?

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 30, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Systems Quality and Reliability Engineer - LPU

Job Requisition ID

JR2017724

Job Category

Operations

Time Type

Full time

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionised parallel computing — with the GPU acting as the brains of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world.

We're seeking an experienced Printed Circuits Board (PCB) Material Science Subject Matter Expert (SME) to join our team. As a seasoned professional with a strong background in material science, chemistry, and engineering, you will provide expert guidance and support to our engineering team and suppliers.

**What You’ll Be Doing**

- Lead research, development and implementation of high-volume manufacturing of high layer count PCBs.

- Experience with Transient Liquid Phase Sintering (TLPS) Technology or Polytetrafluoropolmer (PTFE) Materials is preferred.

- Lead research and development of new PCB technologies, interconnect structures, and materials required for new products, product performance improvements, and cost reductions, ahead of engineering demand.

- Own the development of PCB technology and material roadmaps based on engineering requirements and next-generation product needs.

- Provide PCB technology support to Engineering Teams, Signal Integrity, PCB Design, PCB Sourcing, and Operations Engineering teams.

- Develop and maintain strong relationships with PCB manufacturers and laminate material suppliers supporting NVIDIA PCB designs.

- Define and optimize PCB stack-ups to maximize reliability while incorporating cost-avoidance strategies.

- Lead engagement with the PCB supply base to ensure capability and readiness to meet roadmap requirements and qualify suppliers for new technologies and materials.

**What We Need To See**

- BS or MS in Chemistry, Materials Engineering, or a related field (or equivalent experience), with 12+ years of experience in PCB design, fabrication, and materials. OEM system-level PCB and backplane experience is highly desirable.

- Extensive expertise across PCB technologies, with a strong background in R&D of laminate materials, PCB interconnect structures, related chemistries, and fabrication processes.

- Deep understanding of the PCB supplier base and raw material sourcing ecosystem.

- Proven expertise in HDI, high-layer-count PCBs, materials, and signal-integrity challenges for high-speed (25 Gbps+) designs.

- Demonstrated ability to work and communicate effectively with hardware and signal integrity engineering teams, and to build strong, trusted cross-functional relationships.

- Self-starter who can operate with minimal supervision.

- Strong leadership and verbal/written communication skills

With competitive salaries and a generous benefits package, we are widely considered to be technology industry's best employers. If you're a creative and system testing engineering leader with a real passion for technology, we want to hear from you. Come build the future with us!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 176,000 USD - 276,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 30, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Senior PCB Engineer

Job Requisition ID

JR2018568

Job Category

Marketing

Time Type

Full time

We are looking for a Senior Product Marketing Manager to join the NVIDIA DSX Platform team.. This role is for a strong technical marketer who understands AI infrastructure and can turn complex platform capabilities into clear positioning, compelling narratives, and high-quality go-to-market execution. As part of NVIDIA DSX, DSX OS spans the IaaS and PaaS layers, providing the building blocks for provisioning, GPU health, multi-tenancy, and observability. DSX OS is a portfolio of open-source, modular, composable infrastructure software that helps cloud partners and infrastructure ISVs build, scale, and operate AI factories faster. The portfolio spans IaaS and PaaS layers, with building blocks for provisioning, lifecycle management, GPU health, observability, resiliency, and multi-tenant operations.

DSX OS is crafted to strengthen partner platforms, not replace them. In this role, you will lead product marketing for key DSX OS initiatives across infrastructure software, ecosystem enablement, and partner adoption. You will define positioning and messaging, develop launch plans, compose technical and business narratives, and build high-impact assets for NVIDIA Cloud Partners (NCPs), cloud service providers (CSPs), infrastructure ISVs, and internal field teams. You will work closely with product management, engineering, developer relations, business development, PR, analyst relations, campaigns, and sales to bring recently developed infrastructure solutions and ecosystem stories to market. This is a highly cross-functional role that requires both strategic judgment and hands-on execution. The right candidate can go deep on architecture, understand operator struggles, and translate platform capabilities into clear customer value.

**What You’ll Be Doing**

- Orchestrate the positioning and narrative for DSX OS components, building value propositions that connect with both technical operators and business leaders.

- We will work together to launch new infrastructure software, where you will guide the go-to-market execution and ensure our messaging is consistent across blogs, web content, and partner materials.

- Cultivate deep collaborations with NVIDIA Cloud Partners (NCPs), CSPs, and infrastructure solution providers. Develop joint stories that highlight how we accelerate time to deployment and operational maturity.

- By translating sophisticated GPU clusters and Kubernetes architectures into clear business value, your work will serve as the essential bridge between our engineering breakthroughs and the broader AI ecosystem.

**What We Need To See**

- 8+ years of experience in B2B product marketing, technical marketing, or related roles within cloud/AI infrastructure or platform software.

- Bachelor’s degree in a technical or business field, or equivalent experience.

- Technical Curiosity: A strong understanding of areas like Kubernetes, GPU clusters, inference platforms, or distributed systems.

- Strategic Execution: A proven ability to shape GTM plans and positioning for highly technical platforms.

- Communication: Outstanding writing and storytelling skills, capable of bringing together cross-functional collaborators and executives.

- Adaptability: The ability to work proactively, navigate evolving projects, and thrive in a highly collaborative setting.

**Ways To Stand Out From The Crowd**

- Specialized Insight: Deep familiarity with "AI Factory" infrastructure or cloud-native AI platforms.

- Ecosystem Focus: Experience marketing software specifically for service providers or platform operators.

- Community Mindset: Understanding of open-source models and ecosystem-led growth.

- Learning Orientation: An MBA or an equivalent blend of business and technical growth.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 29, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Senior Product Marketing Manager, DSX OS

Job Requisition ID

JR2018328

Job Category

Engineering

Time Type

Full time

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA BioNeMo is building the computational foundation for the next generation of biological discovery. We are looking for a hands-on technical manager to lead our MD Simulation Engineering team — a focused group whose mission is to enable biological simulation engines at scale.

You will lead a team of engineers building the GPU-native simulation software the scientific community depends on. This role combines player and mentor responsibilities. You will maintain technical credibility throughout the group's efforts and guide architectural decisions. You also be responsible for the roadmap, coordinate dependencies with NVIDIA and external partners, and support team growth.

**What You'll Be Doing**

- Lead, hire, and develop software engineers within a collaborative unit; build a culture of ownership, engineering excellence, and direct collaboration with researchers and authorities in the field.

- Define vision, strategy, and roadmap for the division's GPU-accelerated simulation software.

- Own end-to-end delivery across multiple workstreams; align partners, lead cross-team dependencies, and drive predictable execution.

- Partner with Applied Science teams to translate research prototypes into production-quality, benchmarked software.

- Build and maintain relationships with the community dedicated to molecular dynamics' modeling to ensure the team is delivering what the community needs.

- Drive engineering completion: code quality, CI/CD, multi-SKU validation, and documentation standards.

- Communicate progress, risks, and decisions clearly.

**What We Need To See**

- 8+ overall years of software engineering experience, including 3+ years being responsible for an engineering team with direct reports.

- Strong technical foundation in GPU computing and high-performance scientific software; ability to review builds, influence architectural directions, and maintain a high engineering standard across the team's work.

- Experience shipping production GPU libraries, scientific computing software, or developer-facing APIs — you understand what it takes to go from prototype to a product that external developers depend on.

- Familiarity with molecular dynamics simulation concepts (force fields, electrostatics, neighbor lists, periodic boundary conditions) sufficient to engage credibly with both colleagues and the MD simulator community.

- Proven record to lead multi-functional dependencies, work across interpersonal boundaries without direct authority, and communicate technical progress clearly to senior leadership.

- BS/MS in Computer Science, Computational Science, Physics, Chemistry, or a related field, or equivalent experience.

**Ways To Stand Out From The Crowd**

- You have shipped a GPU-accelerated scientific computing library or supplied to a major open-source MD simulation engine.

- PhD-level education or comparable experience in computational chemistry, biophysics, applied mathematics, or computer science with a focus on HPC or scientific computing.

- Experience with GPU compiler toolchains or kernel delivery mechanisms.

- You have worked across the boundary between applied science and engineering — taking algorithmic research and turning it into a shipped, benchmarked product.

- Active engagement in the MD simulation or computational chemistry community through publications, conference talks, or open-source contributions.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Manager, Molecular Simulation Engineering

Job Requisition ID

JR2017289

Job Category

Finance

Time Type

Full time

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are now looking for a Senior Financial Analyst for our GeForce FP&A team, based out of our Santa Clara office. Our organization’s overarching responsibilities are to provide the highest caliber of relevant financial and business analysis that is both insightful and measurable, enabling effective decisions-making at all levels of the company. This is a critical position within the Finance organization, requiring knowledge of product, advanced tool and analytical skills, accuracy, great attention to detail, and ability to implement to company’s timelines. It is a visible role within Finance for an energetic individual who thrives on inspiring change and impacting the business in a dynamic, fast-paced environment.

**What You'll Be Doing**

- Drive, execute and deliver forecasting, planning and fiscal-close processes relevant to the company’s financial calendar

- Build and maintain rigorous analytical tools to track and measure business results and financial performance; establish predictive models to facilitate decision-making and influence change

- Take full ownership of contra-revenue programs – accurately operationalize program offerings and maintain tight alignment among all related parties

- Deep dive into financial results, products, customers, channel partners, end-market dynamics and industry trends, and provide insights to senior management teams

- Continuously improve the quality, efficiency and value of financial information produced; drive the design, implementation, and testing of reporting tools and any other system automation solutions

- Build strong partnership across GeForce and Finance; provide consistent and timely support to senior leaders within a constantly changing environment

**What We Need To See**

- 12+ years of experience in finance, business or analytics, especially with data analytics/modeling and system automation, supporting a global, high-tech corporation

- Bachelor's degree (or equivalent experience) from a leading university in Finance, Economics, Business; MBA a plus

- Expert proficiency with MS Office, especially Excel. Experience with SAP, IBP, PowerBI, Tableau and other visualization tools, reporting/financial applications is required

- Hands-on experience building and deploying Artificial Intelligence (AI) / Machine Learning (ML) solutions, as well as SQL skills for querying large-scale datasets

- Expert analytical skills and advanced financial modeling techniques, with ability to build and convey business insight

- Detail oriented with the highest regard for accuracy and completeness

- Strong work ethic, interpersonal and communication skills

**Ways To Stand Out From The Crowd**

- Expert analytical and complex financial modeling skills, high attention to details, critical thinking and problem-solving skills

- A strong ownership ethic and intense focus on accuracy and accountability; take pride in work quality, strive for improvements; operate with strong team spirit

- Experience collaborating across a large organization to influence and inspire changes, with excellent communication and interpersonal skills, and proven ability to build successful relationships and partner with all levels of a company’s organization

- Self-starter & problem solver, comfortable dealing with complexity, ambiguity, changes and tight deadlines

- Energy and real passion for delivering results in a dynamic growth company

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Senior Financial Analyst

Job Requisition ID

JR2018074

Job Category

Engineering

Time Type

Full time

You will join the team responsible for building the foundational user experience for NVIDIA GPU Cloud (NGC), the unified platform for all NVIDIA cloud-based products. This is a core role passionate about delivering the next generation of essential, high-impact services that underpin the entire NGC ecosystem. This engineer works alongside architects, designers, and backend engineers to deliver a world-class, secure, and modern interface for our enterprise customers. We seek a collaborator with an open and encouraging approach who is eager to deliver quality software systems in a rapidly evolving cloud environment. The Frontend Web Software Engineer will mainly work on web applications built with React.js, applying modern component-based architectures and focusing on well-tested, standards-compliant code. The successful candidate will have a growth mindset and proactively apply AI tools and agents to improve development effectiveness and increase efficiency throughout the product lifecycle.

**What You Will Be Doing**

- Build and implement critical features for core NGC services, including Identity and Access Management, user and group management, account security and credentials, and billing and subscription flows.

- Play a key role in developing the unified portal that acts as the gateway for all NVIDIA cloud products.

- Proactively apply AI tools and agents to boost code quality, speed up development, and increase overall system stability.

- Drive the evolution of our application architecture and development patterns for increasingly large and complex components.

- Work closely with Product, UX, and Backend teams to convert complex requirements into elegant, responsive UIs and satisfying user experiences.

- Participate in all stages of the product lifecycle, including planning, documentation, code review, and offering helpful insights.

- Estimate personal timelines and coordinate work to deliver achievements effectively.

- Present and/or demonstrate your work/research in front of colleagues from across the company.

**What We Need To See**

- At least 8 years of relevant experience

- Bachelor’s degree in Computer Science, Web Development, or a related field (or equivalent experience)

- Experience working as a contributor to a medium-to-large scale frontend web application or project

- Experience working with React.js or another comparable framework (Vue.js, SvelteKit, Angular)

- Skill in developing refined, responsive user interfaces that ensure a pleasing user experience

- Engage with technical requirements, understand complex systems, and efficiently come up with coded solutions

- Ability to build meaningful tests using established patterns

- Open attitude about sharing work-in-progress and developing ideas (from yourself and others)

- Enthusiasm for the fundamentals of frontend work: JavaScript, HTML, CSS, and the ecosystem that surrounds the client-side application

**Ways To Stand Out From The Crowd**

- Direct experience with leading software development at a project / component level, large complex web-based software projects, and building applications with a mainstream JavaScript framework (React, Vue, Angular, Svelte)

- Experience with Typescript, bundle configuration with Webpack, and testing frameworks like Cypress, Selenium, Jest, etc.

- Has built software with Python, Go, Java, or similar programming language

- Has delivered software in a cloud context and is familiar with the patterns and process of managing cloud infrastructure

- Demonstrated interest in Kubernetes, cloud-native computing, and frontend development: JavaScript modules, accessibility, styles and layout, etc.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Frontend Web Software Engineer, NGC

Job Requisition ID

JR2018580

Job Category

Sales

Time Type

Full time

We are looking for a Junior Field Applications Engineer! NVIDIA’s AI platforms have already made a major impact on the field and are broadly used across leading academic institutions, start-ups, and industry, including the world’s largest enterprise companies. We need passionate, hardworking, and creative people to help us continue to bring groundbreaking enterprise solutions to the world. This Field Applications Engineering role is for a specialist in system design, networking and leader to our customers who believe that artificial intelligence is a new computing revolution and has the potential to transform the industry.

NVIDIA is seeking an outstanding FAE with a focus on datacenter system and network design for AI computing. Your primary responsibilities will be onsite technical engagement for large datacenter deployments of NVIDIA AI computing systems. Your role will involve working across functions within our organizations while also ensuring a positive experience for external customers.

**What You’ll Be Doing**

- Provide onsite support for large datacenter deployments of NVIDIA AI solutions.

- Solving complex hardware and deployment issues

- Be a technical specialist on GPU and networking products directly supporting sales account managers, working closely with the team to deliver outstanding AI datacenter solutions.

- Actively establish the technical relationship with our customer’s engineers, management, and architects at focus accounts.

- Identify customer architectures and key product requirements in the enterprise AI market.

- Provide technical and sales training to the direct sales team and channel partners.

- Establish strong relationships and communication channels with internal teams.

**What We Need To See**

- BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).

- In-depth knowledge of servers, storage systems, network devices, and other data center hardware

- Capable of working in a constantly evolving environment without losing focus.

- Ability to multitask effectively in a multifaceted environment.

- Expert analytical and problem-solving skills.

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

- Strong written and oral communication skills in English with the ability to effectively collaborate with management and engineering.

**Ways To Stand Out From The Crowd**

- Experience with large-scale rollouts of datacenter equipment.

- Networking knowledge -- TCP/IP, RDMA, RoCE, NICs, Switches, etc.

- C/C++ and Python programming skills.

- Embedded Linux System, APIs, and similar embedded OS knowledge.

- Experience working with OEMs in the industrial, military, and ruggedized computing space.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 92,000 USD - 149,500 USD for Level 1, and 108,000 USD - 178,250 USD for Level 2.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Field Application Engineer - New College Graduate 2026

Job Requisition ID

JR2011328

Job Category

Engineering

Time Type

Full time

Are you passionate about inspiring change, building data driven tools to improve software quality, and ensuring customers have the best experience? If so, we have a phenomenal opportunity for you! NVIDIA is seeking a creative, and hands-on software engineer with a test to failure approach who is a quick learner, can understand software and hardware specifications, build reliable tests and tools C++/C#/Python to improve quality and accelerate delivery of GeForce NVIDIA products. The successful candidate will demonstrate substantial experience with AI technologies for automation of test cases, as well as an in-depth understanding of both Windows and Linux operating systems.

**What You’ll Be Doing**

As a Software Development Engineer in Test, you will take part in technical design and implementation of tests for NVIDIA software products with the goal to identify defects early in the software development lifecycle. You will also build tools that accelerate execution workflows for the organization. In this role you can expect to:

- Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on various Windows and Linux operating systems.

- Develop automated end to end tests for NVIDIA device driver and SDKs on windows platform. Execute manual and automated tests, identify, and report defects. Measure code coverage, analyze and drive code coverage improvements.

- Develop applications and tools that bring data driven insights to development and test workflows.

- Build tools/utility/framework in Python / C / C++ which would help automate and optimize the testing workflows in GPU domain.

- Write maintainable, reliable, and well detailed code. Debug issues to identify the root cause. Provide peer code reviews including feedback on performance, scalability, and correctness

- Optimally estimate and prioritize tasks in order to create a realistic delivery schedule and work on challenging technical and process issues.

- Generate and test compatibility across a range of products and interfaces.

- Work closely with leadership to report progress by generating effective and impactful reports

**What We Need To See**

- B.E./B. Tech degree in Computer Science/IT/Electronics engineering with strong academics or equivalent experience

- 5+ years of programming experience in Python/C/C++ with experience in applying Object-Oriented Programming concepts.

- Hands-on knowledge of developing Python scripts with application development concepts like dictionaries, tuples, RegEx, PIP etc.

- Good experience with using AI development tools for test plans creation, test cases development and test cases automation

- Experience with testing RESTful APIs and the ability to conduct performance and load testing to ensure the application can handle high traffic and usage.

- Experience working with databases and storage technologies like SQL and Elasticsearch

- Good understanding of OS fundamentals, PC Hardware and troubleshooting.

- Skillful at debugging issues and have experience using debugging tools like WinDBG/gdb

- Working knowledge of GPUs devices and technologies like DLSS, Frame Generation, Reflex, CUDA, G-Sync, etc.

- The ability to collaborate with multiple development teams to gain knowledge and improve test code coverage

**Ways To Stand Out From The Crowd**

- Prior project experience with building ML and DL based applications would be a plus

- Good understanding of testing fundamentals

- Good problem solving skills (solid logic to apply in isolation and regression of issues found).

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Quality Assurance Software Developer Engineer in Test, GeForce GPU

Job Requisition ID

JR2018110

Job Category

Research

Time Type

Full time

At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a passionate AI research scientist with deep quantum computing expertise to path-find the future of fault-tolerant quantum systems powered by machine learning.

Quantum computing is a strategic priority for NVIDIA, and our goal is to accelerate the entire ecosystem. As a Sr. Applied Research Scientist in Quantum Computing, you will architect and build AI solutions at the heart of fault-tolerant quantum computing—spanning quantum error correction, decoding, calibration, and beyond. You will research and develop open AI models, curated datasets, and rigorous benchmarks that advance the state of the art and empower the broader quantum community. Your research will help translate cutting-edge theory into practice by fine-tuning models for specific quantum error-correcting codes and hardware platforms, while collaborating with multi-functional teams across Product, Engineering, and Applied Research to integrate AI into next-generation Accelerated Quantum Supercomputers!

Do you love developing new technology, enjoy working with collaborative people and teams around the world, and operating at the speed of light? If yes, we would love to hear from you!

**What You'll Be Doing**

- Design and architect AI/ML models—including deep neural networks, graph neural networks, transformers, and reinforcement-learning agents—for quantum error correction, syndrome decoding, logical operation synthesis, and real-time calibration in fault-tolerant quantum systems.

- Develop cutting-edge AI techniques for quantum computing that contribute to NVIDIA's open model efforts across the quantum ecosystem.

- Help create high-quality, large-scale datasets for quantum error correction and quantum system characterization, including simulated and hardware-derived syndrome data, enabling the community to train and evaluate AI models at scale.

- Collaborate with quantum hardware teams to collect and structure hardware-derived training data, enabling domain-adapted models that improve over time as hardware matures.

- Co-design AI solutions with quantum hardware and software teams, ensuring decoders and calibration models meet latency and throughput requirements for real-time operation inside fault-tolerant feedback loops.

- Communicate research findings through top-tier venues and collaborate with academic and industry partners to advance the field, while championing a culture of rapid innovation, technical depth, and creative problem solving.

**What We Need To See**

- Degree in Computer Science, Physics, Applied Mathematics, Electrical Engineering, or a related field (Ph.D. strongly preferred); equivalent demonstrated experience also considered.

- 8+ years of combined experience in quantum computing and/or AI/ML research, with a track record of high-impact contributions in at least one of these domains.

- Deep expertise in machine learning and deep learning—including model architecture design, training at scale, and evaluation—applied to scientific or engineering problems.

- Strong background in Quantum Information Science, including quantum error correction, fault-tolerant protocols, and quantum noise models.

- Excellent communication skills and the ability to collaborate effectively with multi-functional teams across research, engineering, and product.

**Ways To Stand Out From The Crowd**

- Hands-on experience developing learned decoders or AI-driven calibration systems for quantum hardware (superconducting qubits, trapped ions, or other platforms).

- Experience with large-scale model training and fine-tuning—including parameter-efficient fine-tuning (LoRA, QLoRA, adapters) and domain adaptation for scientific AI models.

- Proficiency with CUDA and NVIDIA GPU programming for accelerating quantum simulation, AI model training, or real-time decoding workloads.

- Experience with high-performance computing (HPC) environments and distributed training frameworks (e.g., PyTorch Distributed, Megatron-LM, or JAX pmap) for large-scale quantum AI workloads.

- Passion to drive AI innovations into NVIDIA software and hardware products that support the broader quantum computing ecosystem.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 25, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Senior Quantum AI Research Scientist, Applied Research

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