Urwah Admin

NVIDIA

<div><p>NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It&rsquo;s a unique legacy of innovation that&rsquo;s fueled by great technology&mdash;and amazing people. Today, we&rsquo;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&rsquo;s never been done before takes vision, innovation, and the world&rsquo;s best talent. As an NVIDIAN, you&rsquo;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.</p><p></p><p>
Do you enjoy hacking and tinkering at the lowest levels of software? Are you capable of leading a team of engineers designing clever firmware solutions while in heavily resource-constrained environments? Do you have a history of successfully completing projects on time with aggressive schedules? If so, you&rsquo;re primed to lead a team to develop the boot software that powers the world&rsquo;s best GPUs. We are searching for a top-notch system software manager to fill a challenging, yet fun role on our GPU Firmware team. You will be joining a team whose primary mission is solving the intricate enigma of securing and innovating the boot process for our GPUs, while dealing with the formidable constraints of boot-time and storage space. Every. Byte. Counts. This is your chance to create waves in the industry while directly working with and alongside some of the most top-valued diverse minds in the graphics software and GPU business. Your goal will be to shape the future of graphics technologies doing exactly what you enjoy: solving puzzles. If this sounds interesting and you&rsquo;re up for the task, we&rsquo;d certainly like to hear from you!</p><p></p><p><b>
What you&rsquo;ll be doing:</b></p><ul><li><p>
You&rsquo;ll lead a team to develop, debug, and maintain GPU firmware throughout the NVIDIA GPU lifecycle</p></li><li><p>
Drive execution of GPU firmware for multiple consumer product lines with aggressive schedules</p></li><li><p>
Define firmware feature roadmaps to align with hardware and industry specification advancements</p></li><li><p>
Provide direction for design and implementation of creative solutions for boot software</p></li><li><p>
Collaborate with hardware, software, and business teams to transform new firmware features from idea to reality</p></li><li><p>
Work with leading OS and PC vendors to improve/innovate the startup experience</p></li><li><p>
Improve team software process and core infrastructure via projects dealing with build systems and regression farms</p></li><li><p>
Continuously evaluate and improve security for firmware that functions as a root of trust</p></li></ul><p></p><p><b>
What we need to see:</b></p><ul><li><p>
12+ overall years of experience in the software industry</p></li><li><p>
BS or MS degree in EE/CS/CE or equivalent experience</p></li><li><p>
6+ years&rsquo; experience in leading teams developing device BIOS, firmware, or other low-level software</p></li><li><p>
Strong C skills</p></li><li><p>
Even stronger communication skills</p></li><li><p>
Sense of humor stronger than your C skills encouraged, but not required</p></li><li><p>
Deep understanding of software process</p></li><li><p>
Easy to work with, as you&rsquo;ll constantly work closely with both hardware designers and other software engineers and managers to design, develop, and debug functional (and non-functional!) aspects of GPU subsystems</p></li></ul><p></p><p><b>
Ways to stand out from the crowd:</b></p><ul><li><p>
Examples of customer facing system software features that you drove to completion</p></li><li><p>
Knowledge of the PC architecture including PCI/PCIe as well as display technologies like DP and HDMI</p></li><li><p>
Experience developing for UEFI environments</p></li><li><p>
Experience in working on datacenter software</p></li><li><p>
Passion for your work</p></li></ul><p></p><p>
Widely considered to be one of the technology world&rsquo;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/</p><p></p>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD for Level 4, and 320,000 USD - 488,750 USD for Level 5.<p></p><div><div><div><div><div><div><div><p>
You will also be eligible for equity and benefits.</p></div></div></div></div></div></div></div><p></p>
Applications for this job will be accepted at least until July 4, 2026.<p></p><p>
This posting is for an existing vacancy.</p><p>
NVIDIA uses AI tools in its recruiting processes.</p><p></p>
NVIDIA is committed to fostering an inclusive 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.</div><p></p>

Senior Manager, GPU Firmware

<div><div><div><p>At NVIDIA, we aren't just powering the AI revolution&mdash;we're accelerating it. We are accelerating LLM inference across the stack and across all open source LLM frameworks like TensorRT LLM, vLLM and SGLang. With demand for AI exploding, particularly in the realm of large language models (LLMs) and vision language models (VLMs, VLAs), we are significantly expanding our team.</p></div><p></p><div><p><br>
We're seeking a highly skilled and driven Engineering Manager to take the lead in accelerating the next generation of LLM/VLM/VLA inference software technologies that will define the future of AI. This is a high-impact, hands-on leadership role at the intersection of deep technical expertise and world-class management. You won't just manage; you'll architect and guide a brilliant team of engineers who are pushing the performance of LLM inference. Your work will be highly collaborative, interfacing directly with NVIDIA Researchers, GPU Architects, and other teams across the company to ensure we ship production-grade, lightning-fast software that sets the global standard for AI performance.</p></div><p></p><div><p><b><br>
What</b><b> </b><b>You&rsquo;ll</b><b> </b><b>Be Doing:</b></p></div><div><ul><li><p>
Lead and grow a team responsible for pushing the performance of LLM inference across multiple LLM frameworks, including TensorRT LLM, vLLM, SGLang and Dynamo on our datacenter products.</p></li><li><p>
Drive the design, implementation and optimization of features that are key to performance in LLM inference.</p></li><li><p>
Continuously improve the performance of LLM inference on current and upcoming NVIDIA datacenter architectures and GPUs.</p></li><li><p>
Continuously improve the performance of LLM inference of important foundation models.</p></li><li><p>
Work with inference benchmark teams to help tune performance for key workloads.</p></li><li><p>
Integrating cutting-edge technologies developed at NVIDIA and offering an intuitive developer experience for LLM deployment.</p></li><li><p>
Lead software development execution, with responsibility for project planning, milestone delivery, and cross-functional coordination.</p></li></ul></div><p></p><div><p><b>
What We Need to See:</b></p></div><div><ul><li><p>
MS, PhD, or equivalent experience in Computer Science, Computer Engineering, AI, or a related technical field.</p></li><li><p>
7+ overall years of overall software engineering experience, including 3+ years of technical leadership experience.</p></li><li><p>
Proven ability to lead and scale high-performing engineering teams, especially across distributed and cross-functional groups.</p></li><li><p>
Strong background in C++ or Python, with expertise in software design and delivering production-quality software libraries.</p></li><li><p>
Demonstrated expertise in large language models (LLM) and/or vision language models (VLM) and/or inference in general.</p></li></ul></div></div><p></p><div><div><p><b>
Ways to Stand Out from the Crowd:</b></p></div><div><ul><li><p>
Deep understanding of GPU architecture, CUDA programming, and system-level performance tuning.</p></li><li><p>
Background in LLM inference or working with frameworks such as TensorRT-LLM, vLLM, or SGLang.</p></li><li><p>
Passion for building scalable, user-friendly APIs and enabling developers in the AI ecosystem.</p></li><li><p>
Have a proven track record of growing and managing a team that encourages idea sharing, empowers team members, and provides opportunities for professional growth.</p></li></ul></div></div><p></p><p>
#LI-Hybrid</p><p></p>
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 for Level 3, and 272,000 USD - 431,250 USD for Level 4.<p></p><div><div><div><div><div><div><div><p>
You will also be eligible for equity and benefits.</p></div></div></div></div></div></div></div><p></p>
Applications for this job will be accepted at least until June 27, 2026.<p></p><p>
This posting is for an existing vacancy.</p><p>
NVIDIA uses AI tools in its recruiting processes.</p><p></p>
NVIDIA is committed to fostering an inclusive 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.</div><p></p>

Engineering Manager, LLM Performance

<div><div><div><p>NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It&rsquo;s an outstanding legacy of innovation that&rsquo;s motivated by great technology&mdash;and outstanding people. Today, we&rsquo;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&rsquo;s never been done before takes vision, innovation, and the world&rsquo;s best talent. As an NVIDIAN, you&rsquo;ll be immersed in a diverse, encouraging 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.</p><p></p><p>
Are you passionate about software security and looking to make a significant impact in the automotive industry? Join NVIDIA, a world-class leader in AI and accelerated computing, as a Software Security Architect in our DRIVE OS Automotive Software team. In this role, you'll contribute to the development of safety-critical automotive platforms, that meet high performance demands while being resilient to cyber attacks.</p><p></p><p><b>
What you'll be doing:</b></p><ul><li><p>
Define, analyze, and review secure software architectures for centralized automotive computing platforms.</p></li><li><p>
Perform threat modeling and security architecture analysis for mixed-criticality, multi-tenant automotive software systems.</p></li><li><p>
Partner with safety architects to reason about the interaction between security controls, safety mechanisms, failure modes, and recovery behavior.</p></li><li><p>
Define OS security policy, access control, isolation, and privilege models across Android, Linux, QNX, and virtualized environments.</p></li><li><p>
Build security systems that maintain integrity and availability for safety-critical vehicle software.</p></li><li><p>
Analyze security trade-offs involving performance, latency, memory footprint, boot time, diagnosability, and functional safety requirements.</p></li><li><p>
Guide engineering teams on secure build, secure coding, threat mitigation, and security review practices.</p></li><li><p>
Collaborate across software, hardware, safety, security, and systems teams to meet NVIDIA and automotive industry standards.</p></li></ul><p></p><p><b>
What we need to see:</b></p><ul><li><p>
12+ years of experience in secure and safe embedded software development</p></li><li><p>
Bachelors degree or equivalent experience</p></li><li><p>
Strong background in embedded systems security, platform security, and OS security applied to high performance computers (HPCs).</p></li><li><p>
Solid understanding of software safety principles and their interplay with secure develop principles when applied to mixed-criticality systems.</p></li><li><p>
Experience implementing security frameworks to address integrity and availability issues.</p></li><li><p>
Experience with threat modeling, applied cryptography, common attack vectors, and security reviews.</p></li><li><p>
Familiarity with ARM-based SoC architecture, including caches, buses, memory controllers, debug, interrupt handling, and device access control.</p></li><li><p>
Familiarity with OS architecture, kernel concepts, drivers, process isolation, memory protection, and networking protocols such as Ethernet, TCP/IP, and TLS.</p></li><li><p>
Experience with virtualization technologies and building secure multi-tenant embedded platforms.</p></li></ul><p></p><p><b>
Ways to stand out from the crowd:</b></p><ul><li><p>
Hands-on experience with both ISO/SAE 21434 and ISO 26262, including TARA, HARA, and safety-security co-analysis.</p></li><li><p>
Experience crafting security architecture for safety-critical embedded systems.</p></li><li><p>
Deep experience with hypervisors, kernels, device drivers, boot firmware, debug infrastructure, or low-level platform security.</p></li><li><p>
Experience with formal specification, formal verification, and model checking.</p></li><li><p>
Ability to translate between safety, security, systems, and software engineering teams and drive practical architectural decisions.</p></li></ul><p></p><p>
Widely considered to be one of the technology world&rsquo;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/</p></div></div><p></p>
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.<p></p><div><div><div><div><div><div><div><p>
You will also be eligible for equity and benefits.</p></div></div></div></div></div></div></div><p></p>
Applications for this job will be accepted at least until June 26, 2026.<p></p><p>
This posting is for an existing vacancy.</p><p>
NVIDIA uses AI tools in its recruiting processes.</p><p></p>
NVIDIA is committed to fostering an inclusive 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.</div><p></p>

Software Security Architect

<div><div><div><p>NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It&rsquo;s a unique legacy of innovation that&rsquo;s fueled by great technology&mdash;and amazing people. At NVIDIA, we&rsquo;re pioneering the future of technology and artificial intelligence with cutting-edge solutions that are shaping the world&rsquo;s data-driven innovations. We are seeking a Hardware Customer Quality Engineer in an individual contributor role to support our customer quality assurance activities, stationed in Santa Clara, California! Your main role will be establishing a working level relationship with your customers, collaborating with customers on problem resolutions/complaints, and you will be the voice of the customer to the internal teams.</p></div><p></p><div><p><b><br>
What you will be doing:</b></p></div><div><ul><li><p>
Participate/lead conference calls and F2F meetings with Customers related to quality weekly/monthly</p></li><li><p>
Track Customer quality metrics with regular reporting to the customer and internal management</p></li><li><p>
Coordinate and participate in Customer audits for NVIDIA HQ and contract manufacturers</p></li><li><p>
In crisis/customer critical issue situations, quickly assimilate technical details to: (a) Understand the critical elements of the issue and provide direction to the working team (b) Comprehend the significance of results from various technical activities and formulate responses to customers</p></li><li><p>
Interface with Customers, Integrators and Partners onsite at their location to support problem solving and issue resolution as needed</p></li><li><p>
Craft customer presentations covering statuses of root cause, risk assessments, corrective actions, preventative actions and recovery plans for complaints</p></li><li><p>
Work cross functionally among internal organizations, coordinating activities to assess product risk, drive problem solving and achieve continuous improvement, increasing customer satisfaction</p></li></ul></div><p></p><div><p><b><br>
What we need to see:</b></p></div><div><ul><li><p>
BS or MS degree from a leading university in electrical engineering, quality, or related technical discipline (or equivalent experience)</p></li><li><p>
8+ years of experience in electronics customer quality role</p></li><li><p>
Customer interface experience critical</p></li><li><p>
Quickly comprehend technical details relevant to understanding customer complaints</p></li><li><p>
Excellent proficiency with 8D problem solving tools/methods</p></li><li><p>
Excellent written and oral communication skills</p></li><li><p>
Interpersonal skills, with a logical approach to problem solving, good time management, and task prioritization skills</p></li><li><p>
Dedicated and able to work with minimum supervision</p></li><li><p>
Strong leadership skills with experience coordinating teams with multiple disciplines</p></li><li><p>
Proficient using MS Office software tools, data analytical tools, and email communications</p></li></ul></div></div><p></p><div><div><p><b><br>
Ways to stand out from the crowd:</b></p></div><div><ul><li><p>
Background of semiconductor manufacturing processes such as Si fab, Package assembly and Final test</p></li><li><p>
Background with SMT and PCBA manufacturing practices and controls</p></li><li><p>
Knowledge of electronics reliability standards at the component, board, or system level</p></li><li><p>
Knowledge of server system hardware and software design, development, architecture, or testing</p></li><li><p>
Proven history of developing close working relationships with customer quality teams and using structured problem solving to find solutions to their issues</p></li></ul></div><p></p><div><p><br>
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world&rsquo;s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, with a genuine passion for technology, we want to hear from you.</p></div></div><p></p>
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 for Level 4, and 200,000 USD - 322,000 USD for Level 5.<p></p><div><div><div><div><div><div><div><p>
You will also be eligible for equity and benefits.</p></div></div></div></div></div></div></div><p></p>
Applications for this job will be accepted at least until June 18, 2026.<p></p><p>
This posting is for an existing vacancy.</p><p>
NVIDIA uses AI tools in its recruiting processes.</p><p></p>
NVIDIA is committed to fostering an inclusive 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.</div><p></p>

Senior Hardware Customer Quality Engineer

<div><p>NVIDIA is looking for a Senior Solutions Architect, Customer Success to join its NVIDIA Infrastructure Specialist Team. Academic and commercial organizations around the world are using NVIDIA products to redefine deep learning and data analytics, and to power next-generation data centers. Join the team building and advising on many of the largest and fastest AI/HPC systems in the world!</p><p>
We are looking for someone who blends deep technical expertise with a consultative, collaborative approach. This role will engage directly with customers, partners, and multi-functional internal teams to assess infrastructure needs, architect scalable solutions, and guide the implementation of large-scale networking and AI infrastructure projects. The scope spans networking, system design, and automation&mdash;serving as a trusted strategic advisor and the technical face of NVIDIA to key accounts.</p><p></p><p><b>
What You&rsquo;ll Be Doing:</b></p><ul><li><p>
Serve as a senior technical authority and trusted consultant on NVIDIA technologies, contributing to architecture reviews, guiding infrastructure decisions at scale, and providing strategic recommendations aligned with each customer&rsquo;s business objectives.</p></li><li><p>
Establish and refine monitoring and optimization methodologies using analytics, telemetry, and automation to proactively detect bottlenecks, improve infrastructure resiliency, and drive continuous operational maturity.</p></li><li><p>
Lead and advise on the analysis, optimization, and performance tuning of complex GPU-accelerated systems and AI workloads, ensuring high availability and efficiency across customer data centers.</p></li><li><p>
Facilitate post-deployment reviews, incident retrospectives, and strategy sessions to shape the customer experience and deliver actionable insights into NVIDIA&rsquo;s infrastructure roadmap.</p></li><li><p>
Own and lead complex technical projects end-to-end&mdash;from initial discovery and solution design through implementation, knowledge transfer, and continuous improvement&mdash;ensuring alignment to SLAs and proactive mitigation of technical risks.</p></li><li><p>
Support business growth by identifying AI infrastructure opportunities in cloud and enterprise environments, crafting compelling technical proposals, and driving initiatives that showcase NVIDIA&rsquo;s leadership in this space.</p></li></ul><p><b><br>
What We Need to See:</b></p><ul><li><p>
Education &amp; Experience: BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields, with 10+ years of professional experience in large-scale data center service operations with a focus on infrastructure.</p></li><li><p>
NVIDIA GPU Expertise: Demonstrated hands-on experience deploying, configuring, and optimizing NVIDIA GPU-accelerated infrastructure, including driver and firmware management, CUDA toolkit integration, and GPU workload profiling and fix.</p></li><li><p>
Customer Engagement: Track record of building long-term customer relationships and driving adoption through consultative engagement.</p></li><li><p>
Analytical &amp; Problem-Solving Skills: Strong analytical and decision-making capabilities, with a demonstrable ability to identify root causes, drive continuous improvement, and deliver resilient technical solutions.</p></li><li><p>
System &amp; Infrastructure Proficiency: Expertise in end-to-end data center architecture, spanning operating systems, Linux kernel drivers, GPU and NIC hardware, high-speed networking (InfiniBand, Ethernet, RDMA), and storage systems (Lustre, GPFS, NFS).</p></li><li><p>
Leadership &amp; Communication: Good communication, time management, and organizational skills, with the ability to lead complex multi-functional projects, guide technical teams, and present to executive partners.</p></li><li><p>
Travel: Willingness to travel up to 25% for customer engagements.</p></li></ul><p><b><br>
Ways to Stand Out from the Crowd:</b></p><ul><li><p>
Experience with Kubernetes for container orchestration, resource scheduling, and integration with GPU-accelerated workloads.</p></li><li><p>
Familiarity with observability stacks (Grafana, Prometheus, Loki) for monitoring, alerting, and building fault-tolerant systems.</p></li><li><p>
Experience with multi-tenant GPU cluster management and workload scheduling frameworks.</p></li><li><p>
Experience with NVIDIA Base Command Manager (BCM) for provisioning, managing, and monitoring GPU clusters at scale.</p></li><li><p>
Background with RDMA-based fabrics (InfiniBand or RoCE) in HPC or AI environments as well as knowledge of CI/CD pipelines, Infrastructure-as-Code (Terraform, Ansible), and GitOps workflows for infrastructure automation.</p></li></ul></div><p></p>

Senior Solutions Architect, Customer Success

<div><p>NVIDIA&rsquo;s HW team is seeking highly motivated Engineers to assist in developing and integrating AI capabilities into verification tasks. As part of this team, you will play a key role in improving verification flows and creating AI agents that boost efficiency across teams by deploying various verification techniques. You will build and maintain the core infrastructure needed to run these agents in production, ensuring smooth and effective performance. If you are passionate about the latest research and innovative technologies crafting LLM and generative AI, this role and team offer an exciting chance to lead modern advancements.</p><p></p><p><b>
What you'll be doing:</b></p><ul><li><p>
Play a key role in design, development, and deployment of high-performance agents&rsquo; frameworks and tools.</p></li><li><p>
Develop AI agents that process sizable codebases and bypass failures to support coding and debugging efforts.</p></li><li><p>
Collaborate with HW engineering teams to understand their specific needs and challenges and ensure our agent platform is well-suited to these needs.</p></li><li><p>
Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications.</p></li><li><p>
Stay ahead by engaging with the latest advancements in machine learning and AI to build brand new solutions.</p></li><li><p>
Integrate technology-based optimizations into existing tools and flows.</p></li><li><p>
Lead with purpose and maintain high-quality engineering practices that encourage others to achieve excellence.</p></li></ul><p></p><p><b>
What we need to see:</b></p><ul><li><p>
BS/MS/PhD or equivalent experience in CS/CE/EE/Mathematics.</p></li><li><p>
5+ years of relevant experience.</p></li><li><p>
Strong proficiency in agentic LLM Libraries/Technologies like LangChain, LangGraph, AutoGen, CrewAI, RAGs, vector databases, timely engineering, knowledge graphs, etc.</p></li><li><p>
Solid understanding of GPU/CPU architectures and builds.</p></li><li><p>
Strong analytical skills to solve complex problems.</p></li><li><p>
Knowledge of HW verification methodologies and techniques.</p></li><li><p>
Hands-on experience with Verilog/System Verilog HDLs, temporal logic assertions, and able to understand complex RTL quickly.</p></li><li><p>
Excellent command of scripting using Python.</p></li><li><p>
Excellent interpersonal skills, able to effectively collaborate and work with members of a distributed team.</p></li></ul><p></p><p><b>
Ways to stand out from the crowd:</b></p><ul><li><p>
Proven track record of integrating AI into hardware verification processes.</p></li><li><p>
Experience with innovative generative AI technologies.</p></li><li><p>
Demonstrated leadership in cross-functional team environments.</p></li><li><p>
Strong problem-solving abilities.</p></li><li><p>
Outstanding skills in optimizing AI algorithms for performance.</p></li></ul><p></p>
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.<p></p><div><div><div><div><div><div><div><p>
You will also be eligible for equity and benefits.</p></div></div></div></div></div></div></div><p></p>
Applications for this job will be accepted at least until April 17, 2026.<p></p><p>
This posting is for an existing vacancy.</p><p>
NVIDIA uses AI tools in its recruiting processes.</p><p></p>
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.</div><p></p>

AI for Design Engineer

<div>
 NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It&rsquo;s a unique legacy of innovation that&rsquo;s fueled by great technology&mdash;and amazing people.
 <br/>
 <br/>
 Today, we&rsquo;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&rsquo;s never been done before takes vision, innovation, and the world&rsquo;s best talent. As an NVIDIAN, you&rsquo;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.
 <br/>
 <br/>
 Join NVIDIA and play a pivotal role in our future! As a B2B Accounts Payable Process Manager, you will be part of a top-tier finance team at our Corporate Office in Santa Clara, CA. Reporting directly to the Director of Accounts Payable, you will handle Accounts Payable exceptions and collaborate with essential vendors. This is an outstanding opportunity for a motivated professional to contribute to pioneering process improvement projects in a dynamic, fast-paced environment.
 <br/>
 <br/>
 <strong>
  What You'll Be Doing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Maintain a comprehensive understanding of end-to-end Accounts Payable processes and provide training to ensure uniform practices.
  </li>
  <li>
   Handle the entire invoice processing cycle, including reconciliation and timely resolution of errors.
  </li>
  <li>
   Support AP automation projects through training, problem resolution, and testing.
  </li>
  <li>
   Monitor and report on critical metrics for the Vendor Invoice Management system.
  </li>
  <li>
   Collaborate closely with vendors and internal buyers to resolve issues promptly and efficiently.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Need To See
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   An undergraduate degree in Finance, Accounting, or equivalent experience in Accounts Payable.
  </li>
  <li>
   8+ years of proven experience in Accounts Payable.
  </li>
  <li>
   Proficiency in accounting software systems, particularly SAP, and experience with Vendor Invoice Management systems.
  </li>
  <li>
   Outstanding skills in MS Office, including Word, Outlook, Excel, and PowerPoint.
  </li>
  <li>
   Strong analytical abilities and excellent organizational skills with the capability to multi-task.
  </li>
  <li>
   Excellent customer service and communication skills.
  </li>
  <li>
   Demonstrated experience in process automation and improvement.
  </li>
  <li>
   Ability to work both independently and collaboratively within a team.
   <br/>
   <br/>
  </li>
 </ul>
 Widely considered to be one of the technology world&rsquo;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/
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 Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 195,500 USD.
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 You will also be eligible for equity and benefits.
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 Applications for this job will be accepted at least until April 13, 2026.
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 This posting is for an existing vacancy.
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 NVIDIA uses AI tools in its recruiting processes.
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 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.
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Accounts Payable Specialist

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