Urwah Admin

NVIDIA

<div>NVIDIA is at the forefront of the generative AI revolution, building the software and systems that power the world&rsquo;s most advanced large language model workloads. We are looking for a Senior Software Engineer to lead the bring-up, triage, benchmarking, analysis, and optimization of distributed training and inference workloads across NVIDIA GPU platforms at the largest scales we run.
In this role you will set technical direction across communication libraries, model frameworks, and inference/training stacks to ensure state-of-the-art LLM workloads run efficiently and reliably at scale. You will lead deep performance and reliability investigations on multi-GPU and multi-node deployments, define how we benchmark and qualify new platforms, and build the resilience and failure-attribution capabilities that keep large clusters productive. This is a hands-on senior individual-contributor role for an engineer who operates at the intersection of deep learning systems, GPU performance, distributed computing, and large-scale operations &mdash; and who raises the bar for the engineers around them.
What you&rsquo;ll be doing:<ul><li>
Lead bring-up, validation, and debugging of large-scale AI clusters, infrastructure, and end-to-end workloads, setting the standard for how the team operates.</li><li>
Bring up, tune, and benchmark AI pre-training, post-training, and inference workloads using PyTorch, NeMo / Megatron, TensorRT-LLM, and adjacent NVIDIA AI software stacks.</li><li>
Profile and optimize end-to-end workload performance across compute, memory, networking, and communication layers using tools such as Nsight Systems, NCCL tests, and custom microbenchmarks.</li><li>
Analyze scaling efficiency for distributed LLM workloads using data, tensor, pipeline, and expert parallelism across modern GPU clusters, and translate findings into concrete tuning guidance.</li><li>
Own root-cause analysis of complex failures &mdash; hangs, performance regressions, topology sensitivity in large distributed environments.</li><li>
Define and build the resilience and failure-attribution stack: detecting, triaging, and attributing node, fabric, and workload failures across the cluster at scale.</li><li>
Build repeatable benchmark suites, automation, acceptance criteria, and qualification workflows on new platforms.</li><li>
Tune runtime settings, communication parameters, and deployment configurations in close partnership with framework, systems, and platform teams.</li><li>
Deliver actionable, data-driven recommendations based on profiling, benchmark results, and cluster characterization.</li><li>
Mentor engineers, drive technical standards, and act as a force multiplier across the broader performance and infrastructure organization.</li></ul>
What we need to see:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science or a related technical field (or equivalent experience).</li><li>
8+ years of experience developing software infrastructure for large-scale AI or HPC systems, including a track record of technical leadership.</li><li>
Expertise debugging and triaging AI applications across the full stack &mdash; from the application layer down to the hardware.</li><li>
Deep hands-on experience with NCCL, CUDA-aware distributed execution, and debugging multi-GPU and multi-node workloads at scale.</li><li>
Proven track record of architecting, debugging, and scaling large-scale distributed systems.</li><li>
Expert-level Python and C/C++ programming skills.</li><li>
Experience operating workloads in scheduled, containerized cluster environments.</li><li>
Excellent analytical, debugging, and communication skills, with the ability to influence across teams.</li></ul>
Ways to stand out from the crowd:<ul><li>
Demonstrated experience debugging and optimizing AI workloads at large scale.</li><li>
Deep familiarity with the RDMA software stack (NCCL, IB verbs, UCX, libfabric).</li><li>
Strong knowledge of GPU cluster fabrics and topology, including NVLink, NVSwitch, PCIe, RoCE, and InfiniBand.</li><li>
Experience building acceptance tests, benchmark harnesses, regression gates, or cluster qualification tooling for AI platforms.</li><li>
Experience building resilience, fault-detection, or failure-attribution systems for datacenter-scale infrastructure.</li></ul>
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 in the world working for us. If you&rsquo;re creative, autonomous, and love a challenge, we want to hear from you.
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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.<div><div><div><div><div><div><div>
You will also be eligible for equity and benefits.</div></div></div></div></div></div></div>
Applications for this job will be accepted at least until June 8, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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>

Senior Software Engineer, DGX Cloud AI Infrastructure

<div>Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA&rsquo;s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!
The NVIDIA Clocks team is looking for a dedicated and motivated Software developer with particular interest in algorithms and RTL Design. Understanding both Software and Hardware principles will be a key requirement for this role.
What you'll be doing:<ul><li>
Architect, design, develop and support tools for RTL generation across all NVIDIA products.</li><li>
Architect automated workflows for supporting deliverables to multiple cross functional teams.</li><li>
Improve algorithms (in C++) for automated connectivity, auto logic insertion and post processing Verilog RTL.</li><li>
Improve quality of existing tools and flows used by the team.</li></ul>
What we need to see:<ul><li>
Master's degree or higher in Computer Engineer or Electrical Engineering (or equivalent experience).</li><li>
Coding skills in C++.</li><li>
Good understanding of ASIC Design and understanding of Verilog RTL.</li><li>
Experience working across multi-functional teams.</li></ul>
Ways to stand out from the crowd:<ul><li>
Prior experience in RTL design (Verilog), verification and synthesis.</li><li>
Experience in C++, Perl, Python, Make scripting.</li><li>
Knowledge of Clocks/Resets design and verification.</li></ul>
NVIDIA is widely considered one of the technology world&rsquo;s most desirable employers. We employ some of the most forward-thinking and talented people in the world. Are you passionate about joining our life work to amplify human imagination and intelligence? If you are creative, collaborative, and have a real passion for design methodology and automation, we want to hear from you.
#LI-Hybrid
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 - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.<div><div><div><div><div><div><div>
You will also be eligible for equity and benefits.</div></div></div></div></div></div></div>
Applications for this job will be accepted at least until June 7, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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>

Software Engineer, Hardware Tools and Methodology - New College Grad 2026

<div>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 revolutionized parallel computing &mdash; 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 &ldquo;the AI computing company.&rdquo; We're looking to grow our company and build our teams with the most thoughtful people in the world. Join us at the forefront of technological advancement. GPU Servers are one of the fastest-growing segments for NVIDIA and the Artificial Intelligence industry. As the computational power increases with every GPU generation, developing efficient and reliable systems is an imperative. We are looking for a System Reliability Engineer to join NVIDIA's existing Reliability Engineering team, involved in NVIDIA's diverse system product range specifically Graphics and High-Performance Computing printed circuit boards and Data Center Servers. 
What you'll be doing:<ul><li>
Represent Product Reliability Engineering in development teams.</li><li>
Develop and execute reliability test plans for product qualification. Collaborate with peer reliability groups for successful implementation.</li><li>
Define product reliability tests for products ranging from embedded, automotive, graphics cards to server, rack, and cluster products.</li><li>
Lead reliability testing, failure analysis, and root cause investigations; drive corrective actions to improve design and manufacturing quality.</li><li>
Establish and continuously improve product reliability standards, metrics, and methodologies.</li><li>
Participate in product and engineering design reviews, assess the reliability budget and influence changes that enhance product reliability.</li><li>
Collaborate cross-functionally with engineering teams, suppliers, and partners to achieve reliability targets using Design for Reliability (DfR) methods including FMEA and DoE approaches.</li><li>
Provide reliability predictions to access and drive product reliability to meet product requirements.</li></ul> 
What we need to see:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Electrical Engineering, Mechanical Engineering, or equivalent experience.</li><li>
8+ years of experience in hardware reliability or hardware engineering from datacenter, systems, or computer industries.</li><li>
Hands-on experience in theoretical and practical Reliability concepts as it relates to high-tech electronic enterprise and consumer products.</li><li>
Have a strong understanding of statistical concepts and how they relate to product reliability &amp; life analysis.</li><li>
Good verbal and writing skills as well as the ability to communicate at a high level.</li><li>
Good project management skills and ability to balance multiple simultaneous projects during development.</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/
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 - 264,500 USD.<div><div><div><div><div><div><div>
You will also be eligible for equity and benefits.</div></div></div></div></div></div></div>
Applications for this job will be accepted at least until June 7, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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>

Senior System Reliability Engineer

<div>NVIDIA NVLink team is seeking a Senior Software Developer or manager to serve as Tech Lead in our team in Santa Clara. The NVLink team develops the firmware and network OS (NVOS) for NVLink, NVIDIA&rsquo;s networking fabric for our datacenter infrastructure.
We are seeking a senior individual contributor (IC) to spearhead our development for our Firmware and NVOS programs, collaborating across the different development organisations to build and improve on the next generation of NVLink software. You will be the technical lead, incorporating our solutions and related technologies into our NVLink projects to ensure our customers can deploy NVIDIAs key network fabric infrastructure at scale.
What you will be doing:<ul><li>
Spearhead the end‑to‑end development and implementation of features that ensure our customers can configure, install, and solve issues with NVLink, which powers NVIDIA&rsquo;s datacenter fabric.
</li><li>You will be the Point of Contact and own the SDLC for the programs, ensuring the highest quality of software deliveries.
</li><li>Define technical direction, breakdown, and be the quality bar for NVLink features, and drive them from idea to production as a hands‑on IC.
</li><li>Collaborate closely with product, test, applications engineering, production/manufacturing, and partner engineering teams to translate customer issues into concrete product solutions.
</li><li>Implement application flows that build on our networking fabric, helping the team to support our core CSP customer base.
</li><li>Establish guidelines for evaluation, observability, and continuous improvement of our networking infrastructure from manufacturing to production networks.</li><li>
Be an evangelist for AI adoption in software development, test and across the development lifecycle.</li></ul>
What we need to see:<ul><li>
Bachelors degree in Computer Science, EE, Computer Engineering, or equivalent experience.
</li><li>Over 12+ years of direct software development experience, including substantial responsibility for complex, customer-facing systems or platforms.
</li><li>Proven track record as a technical lead, engineering manager or architect for significant features or products across networking and datacenter infra with clear ownership for both creating and execution of goals..
</li><li>Strong networking acumen, developing or leading the firmware and/or OS development of network infra.</li><li>
Excellent communication skills and ability to influence technical direction across teams while remaining as an individual contributor.
</li><li>Strong hands-on development experience in embedded C/C++ and Python</li></ul>
Ways to stand out from the crowd:<ul><li>
Engineering Manager or Technical lead driving the successful development of end-to-end networking projects. Experience developing embedded, RTOS and SDK workflows, for networking infrastructure.</li><li>
Contributions to internal or open‑source networking frameworks/OS, tooling, or driving methodologies.
</li><li>Demonstrated history of mentoring senior engineers and elevating engineering standards around building, code quality, and reliability.</li><li>
Proven track record of tech leading engineering from several different teams
</li></ul>With competitive salaries and a generous benefits package, we are 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 in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
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 5, and 272,000 USD - 431,250 USD for Level 6.<div><div><div><div><div><div><div>
You will also be eligible for equity and benefits.</div></div></div></div></div></div></div>
Applications for this job will be accepted at least until June 7, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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>

Senior Software Development Tech Lead – NVLink FW and NVOS

<div>Do you enjoy hacking and tinkering at the lowest levels of software? Are you passionate about extracting maximum efficiency from complex hardware while maintaining complete system stability? If so, we are searching for an outstanding Senior Firmware Engineer to join the NVIDIA System Control Firmware team.
Joining the System Control Firmware team places you at the core of NVIDIA&rsquo;s Tegra SoC architecture. You will develop, implement, and secure the essential software that regulates everything from boot sequencing to dynamic power, clock, and thermal management for top-tier autonomous vehicles, AI edge devices, next-generation data centers, and advanced robotics. This role lets you influence the industry directly while working with a diverse set of minds in the field.
What you&rsquo;ll be doing:<ul><li>
Core Firmware Development: Build, implement, and optimize low-level C firmware for the Boot and Power Management Processor (BPMP) across the entire Tegra SoC lifecycle.</li><li>
Active Program Support: Provide hands-on technical support to active product programs by diagnosing and debugging complex, high-priority issues, collaborating closely with cross-functional teams to drive rapid resolutions.</li><li>
Project Leadership: We offer opportunities to lead system control firmware from inception through bring-up and productization, owning integration, release readiness, issue resolution, and customer/factory deliverables. Requires strong collaboration across functions, focused delivery, clear communication, managing interactions with partners, swift attention to critical issues, and thorough bug/status tracking through final binary delivery. Also requires technical depth in firmware integration, configuration delivery, branch/release workflows, validation, production binaries, and applying lessons learned to future bring-up, with regular cross-team status reporting on progress, risks, blocking issues, and bugs.</li><li>
Process Improvement: Lead and promote the ongoing refinement of software engineering processes, development methodologies, and team workflows to improve efficiency, code quality, and release reliability.</li><li>
Global Collaboration: Work closely with hardware, software, and safety architecture groups across our worldwide engineering locations to coordinate requirements and system-level interfaces.</li><li>
Debug &amp; Test Automation: Identify complex hardware/software boundary failures by analyzing boot logs and hardware traces. Develop thorough unit/integration tests and conduct error injection on emulation platforms and physical boards.</li></ul>
What we need to see:<ul><li>
Education: BS or MS degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.</li><li>
Experience: 8+ years of professional experience in embedded firmware development, low-level C programming, and memory-mapped register access.</li><li>
Technical Leadership &amp; Influence: Demonstrated ability to lead technical problem-solving efforts in complex projects, with a proven track record of influencing cross-functional teams and driving technical alignment.</li><li>
Communication Skills: Excellent written and verbal communication skills, with the ability to articulate complex technical ideas clearly across a distributed, multi-site team.</li><li>
AI Skills: Practical experience or familiarity with contemporary software development involving AI agents or LLM-assisted workflows to improve code generation, testing, or engineering efficiency.</li><li>
Deep Systems Knowledge: Solid grasp of SoC boot flows, interrupts, linker/build systems, and device tree-based configurations.</li><li>
Hardware Interface Expertise: Direct experience managing low-level SoC infrastructure like clocks, resets, voltage rails, and power-gating behaviors.</li><li>
Problem-Solving Skills: Outstanding debugging skills, a self-starter attitude, a high sense of teamwork, and a meticulous approach to avoiding regressions in sensitive system behaviors.</li></ul>
Ways to stand out from the crowd:<ul><li>
Experience or strong professional interest in applying the Rust language for systems programming, safe firmware architectures, or tooling.</li><li>
Proven background working under ISO 26262 functional safety standards and accomplishing FMEA.</li><li>
Knowledge of secure boot principles and hardware/software boundary protection.</li><li>
A passion for collaborating closely with hardware engineers to influence next-generation silicon development across automotive, robotic, and data center platforms.</li></ul>
Offering competitive salaries and a generous benefits package, NVIDIA is known as one of the technology industry&rsquo;s most desirable employers. We employ some of the most forward-thinking and diligent people globally. Our exclusive engineering teams are growing rapidly because of remarkable growth. If you&rsquo;re a creative and self-directed engineer with a genuine passion for technology, we want to hear from you!
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/
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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.<div><div><div><div><div><div><div>
You will also be eligible for equity and benefits.</div></div></div></div></div></div></div>
Applications for this job will be accepted at least until June 7, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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>

Senior Firmware 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. 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.
 
 
 We are seeking a skilled Solutions Architect with a strong emphasis on datacentre power, cooling, and MEP (Mechanical, Electrical, and Plumbing) requirements to support the deployment of advanced AI and HPC GPU infrastructure. Are you keen to join a team that brings GenAI, AI, and ML hardware and software technologies into real-world production, with a particular focus on the unique challenges of large-scale datacentre environments? In this role, you will collaborate closely with customers to assess and address the critical power distribution, cooling strategies, and MEP integration needed for next-generation GPU infrastructure. As part of the NVIDIA solutions architecture team, you&rsquo;ll guide strategic customers through the complexities of datacentre design, ensuring robust, efficient, and scalable solutions while providing valuable feedback to business and engineering teams to shape product and infrastructure strategy.
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 Work closely with NVIDIA Cloud Partners to design, implement, and operationalise NVIDIA's cutting-edge hardware and software solutions, ensuring seamless integration with datacentre power, cooling, and MEP systems.
 </li>
 <li>
 Collaborate with Sales Account Managers and other business leads to identify and secure business opportunities for NVIDIA products and solutions, including those involving datacentre infrastructure upgrades and expansion.
 </li>
 <li>
 Serve as the primary technical contact for customers throughout the development, construction, and production of extensive GPU cloud infrastructure, providing guidance on datacentre power distribution, cooling strategies, and MEP integration across the full customer lifecycle.
 </li>
 <li>
 Conduct regular technical customer meetings to discuss project and product details, features, introduction to new technologies, debugging sessions, and address datacentre-related challenges such as optimising power usage and cooling efficiency.
 </li>
 <li>
 Work with customers to build Proofs of Concept (PoCs) for solutions that tackle critical business needs, including the development of robust networking, compute, and MEP infrastructure to meet demanding AI and HPC workloads.
 </li>
 <li>
 Prepare and deliver technical content to customers, including presentations and workshops, with an emphasis on datacentre best practices, power and cooling optimisation, and MEP requirements for large-scale GPU deployments.
 </li>
 <li>
 Analyse and develop joint solutions to address customer performance and scaling issues, including troubleshooting datacentre power and cooling bottlenecks and improving infrastructure reliability.
 </li>
 <li>
 Advise customers on the latest trends and technologies in datacentre design, including modular construction, efficient power management, advanced cooling techniques, and MEP innovations to support next-generation AI and HPC hardware.
 </li>
 <li>
 Collaborate with engineering and business teams to provide feedback and recommendations for future NVIDIA products and infrastructure, focusing on datacentre power, cooling, and MEP enhancements.
 </li>
 <li>
 Support customers in compliance with datacentre standards and regulations related to electrical, mechanical, and environmental requirements, ensuring safe and sustainable GPU infrastructure deployments.
 
 
 </li>
 </ul>
 
 What We Need To See
 
 
 
 <ul>
 <li>
 BS/MS/PhD in Mechanical/Electrical Engineering, or other Engineering fields or equivalent experience.
 </li>
 <li>
 12+ years in Solution Engineering (or similar Sales Engineering, Cloud Engineering) working directly with partners and customers.
 </li>
 <li>
 Motivation and skills to own and drive technical engagements with customers throughout full customer life-cycle.
 </li>
 <li>
 At least one of the following datacenter certifications ATD, CDCAP, CDCDP, CDCEP, CDCMP, CDCSP is requested
 </li>
 <li>
 Experience crafting and deploying large-scale cluster environments.
 </li>
 <li>
 Practical expertise in datacentre design, development, and execution for AI and HPC.
 </li>
 <li>
 Efficient time management and capable of balancing multiple tasks. Ability to communicate ideas clearly through documents, presentations, etc.
 
 
 </li>
 </ul>
 
 Ways To Stand Out From The Crowd
 
 
 
 <ul>
 <li>
 Practical familiarity with large datacentre design, power distribution, and cooling (liquid to chip)
 </li>
 <li>
 Practical familiarity with NVIDIA hardware (such as GPUs, ETH/IB networking components, storage, etc.) within extensive AI and HPC cluster settings.
 </li>
 <li>
 Background with at scale GPU systems in general, encompassing performance testing, AI benchmarking, and more.
 
 
 </li>
 </ul>
 We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
 
 
 , , JR2013942
 
 
</div>

Solutions Architect - NVIDIA Cloud Partners and Datacentre Infrastructure

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

AI for Design Engineer

Join NVIDIA and explore 8   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.