Urwah Admin

NVIDIA

<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. More recently, GPU deep learning ignited modern AI &mdash; the next era of computing. NVIDIA is a &ldquo;learning machine&rdquo; that constantly evolves by adapting to new opportunities that are hard to take on, that only we can pursue, and that matter to the world. This is our life&rsquo;s work, to amplify human creativity and intelligence. Are you a Mask Layout Design Engineer? If yes, We would love to hear from you! We are looking for a Senior Mask Layout Design Engineer, someone who is excited to join a growing and dynamic group of diverse individuals responsible for handling meaningful high-speed mixed-signal circuit designs.
What you'll be doing:<ul><li>
Performing physical layout for mixed-signal functions like PLL's, high speed SerDes, Analog to Digital converters, ESD structures designs in groundbreaking sub-micron CMOS technologies using Cadence tools.</li><li>
You'll work multi-functional with ASIC and mixed-signal engineers to customize designs for integration in VLSI products.</li><li>
Take part in floor planning, custom layout and verifying against design rules and schematics.</li></ul>
What we need to see:<ul><li>
Have a BSEE or equivalent experience.</li><li>
Minimum of 12+ years validated experience in Mask and Layout Design.</li><li>
Deep understanding of analog circuit layout concepts in submicron CMOS technologies.</li><li>
You are an authority with Cadence custom circuit design tools - particularly virtuoso.</li><li>
Experience running and debugging with verification tools such as Dracula, Hercules, Calibre, and Primeyield.</li><li>
You are able to work successfully in a team, good interpersonal skills, passion and positive energy.</li><li>
Proficient in scripting languages like perl, python, skill etc.</li><li>
Should have knowledge of DRC and LVS checking flows, ability to customize decks.</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 144,000 USD - 230,000 USD for Level 5, and 168,000 USD - 264,500 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 August 31, 2025.
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>

Senior Mask Design Engineer - Hardware

<div>The NVIDIA IPP team is seeking an expert and highly motivated engineer to help develop and maintain critical and very meaningful DevOps services used by the SW teams
Our culture promotes and encourages a team of elite employees to be at the top of their game. We've built a fast, resilient environment where the talents are recognized and the teamwork is valued. Our employees are crafting the world of tomorrow with their outstanding work and you can be one of them. We invite you to explore the opportunities available at NVIDIA to see what your future may hold.
You should be a go-getter, ambitious, able to work independently, multi-functionally, multi-tasking and be able to thrive in a dynamic work environment. You should understand the value of predictability, automation and reliability of systems used in day to day release activities of the company!
NVIDIA is an equal opportunity employer.<h2 class="jobSectionHeader">
What you will be doing:</h2><ul><li>
Collaborating closely with team members across the org &amp; company to continuously innovate DevOps strategy based on their evolving needs.</li><li>
Python, Jenkins/Ansible/Kubernetes and other infra setups/maintenances, data visualisation tools - Elastic and new technical explorations as project requires</li><li>
DevOps - Branch/Repo management, Metrics and Dashboards, Exploration and embedding AI across services (AI adoption)</li><li>
Build/Develop/Maintain new and existing in-house applications/solutions using AI/Automations in order to improve turnaround time and the quality of services provided to internal teams</li><li>
Lead, Explore and Deliver new solutions proactively with other team members</li><li>
Innovating and suggesting new processes and workflows to the team.</li></ul><h2 class="jobSectionHeader">
What we need to see:</h2><ul><li>
13+ years of demonstrated ability in leading and architecting DevOps platforms, workflows, and pipelines.</li><li>
Strong/quick problem solving and debugging skills.</li><li>
Proficiency in Python, Django, Mongo, Unix, Jenkins/K8s setups, Dev Processes (code coverage and SonarQube)</li><li>
Excellent knowledge of infrastructure automation tools (Ansible, Chef, Puppet), Git and Perforce</li><li>
Experience in data pipelines setup via Kafka, Filebeat and visualizing using tools like Elasticsearch, Kibana, Tableau.</li><li>
Deep knowledge of Agile principles and practices and the ability to transfer that understanding at all levels of the organization.</li><li>
Able to lead cross-geo initiatives successfully and promote one team culture</li><li>
Good social and interpersonal skills.</li><li>
B.E/B.Tech/M.Tech degree, or equivalent experience.</li></ul><h2 class="jobSectionHeader">
Ways to stand out from the crowd:</h2><ul><li>
Excellent communication and interpersonal skills, with the ability to collaborate effectively with multi-functional teams and partners.</li><li>
Proven working experience with DevOps/Coding technologies like Python, Jenkins, Ansible, K8s, Elastic</li><li>
Familiarity with AI &amp; hands on is a plus</li></ul></div>

Senior DevOps Engineer

<div>NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a &ldquo;learning machine&rdquo; that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life&rsquo;s work , to amplify human creativity and intelligence. As an NVIDIAN, you&rsquo;ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!
We are now looking for a Senior Circuit Design Engineer! NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel.
What you'll be doing:<ul><li>
Be part of a hardworking, talented, cross-functional Global Circuits Team, designing and delivering groundbreaking circuit IPs involving SRAM arrays, Analog and/or Digital circuits.</li><li>
Work on architecting innovative circuit solutions and methodologies which monitor, measure on-chip silicon performance parameters and close the gap to pre-silicon estimations for logic and RAMs</li><li>
Be involved in design and verification of Custom Circuit IPs to improve the power, performance, silicon correlation and security of NVIDIA CPU, GPU and Networking chips</li><li>
Participate in discussion with various teams to understand challenges related to SRAM/RF macros ( Vmin, Vmax, VF, Yield, spice modelling, silicon debug) and propose innovative solutions.</li><li>
Understanding of existing circuit methodologies for logic/RAMs and suggest improvements.</li><li>
This role includes interacting with several global teams across geographies, understanding various methodologies and improving silicon correlation of logic and RAM circuits.</li><li>
Be a mentor/technical lead for junior team members.</li></ul>
What we need to see:<ul><li>
8+ years of relevant experience in the area of memory design, Circuit design</li><li>
Have sound fundamentals of CMOS devices, RC circuits, transistor level circuit design, timing concepts involving dynamic and sequential circuits.</li><li>
Solid hands-on experience in SRAM/RF/ROM design involving SPICE simulations, variation/selftime/bitcell/SA analysis.</li><li>
Ability to close design to the specs by running and developing various flows like EM, IR, Noise, and static timing analysis (STA)</li><li>
Proficient in Perl/Python or equivalent scripting language is a huge advantage.</li><li>
Knowledge of STA and Silicon debug is a huge plus.</li><li>
Good interpersonal skills ; should be an excellent teammate.</li><li>
BE/M-Tech in Electrical &amp; Electronics or equivalent experience.</li></ul>
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world&rsquo;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?
#LI-Hybrid</div>

Senior Circuit Design Engineer

<div>NVIDIA's deep learning platform has already made a major impact to the field and is broadly used across leading academic institutions, start-ups, and industry, including the world&rsquo;s largest Internet companies. We need hardworking, and creative people to help us dive into more of these rare opportunities in GPU application in enterprise solution space.
We are now looking for an OEM Account Applications Engineer, New College Grad with the ability to focus on customer enablement of enterprise products in a datacenter environment. We seek an engineer who is familiar with datacenter hardware design, out-of-band telemetry, diagnostics and cluster management best practices established in the industry. In this role, you will work with enterprise OEM partners to resolve hardware, firmware and software issues, and provide both offsite and onsite support. This is a highly technical engineering role that is responsible for providing best-in-class support to NVIDIA's enterprise customers. We are looking for someone who has superb interpersonal skills, and can understand, explain, and solve customer problems. Must be able to travel to partner sites for onsite support. This position will focus on NVIDIA enterprise datacenter products in workstation and server applications.<ul><li><div><div><div><div>
What you'll be doing:<ul><li>
Collaborate with key OEM customers on their design, validation and production of datacenter platforms.</li><li>
Work on resolving system integration issues related to thermal, mechanical, electrical, PCIe and GPU interconnect interfaces including out of band management services.</li><li>
Support customers through bring-up, validation and production issues. While we engage with partners over conferencing tools, travel will be required for onsite support.</li><li>
Work directly with our NVIDIA customers, and analyze data to answer questions, reproduce errors, resolve same, or escalate customer issues.</li><li>
Be involved in customer interaction, customer communication via conference calls, or face to face meetings</li><li>
Familiarize yourself with performing hardware debug using oscilloscope and analyzers to qualify, validate and solve NVIDIA products for customer systems.</li><li>
Track, file new bugs and reproduce issues as needed.</li><li>
Up to 25% of travel, domestic and international (to locations such as, China, Taiwan, Mexico).</li></ul>
What we need to see:<ul><li>
Recently graduated with a BS or higher in EE, CE (or equivalent experience).</li><li>
Experience in Systems Engineering.</li><li>
Relevant experience in supporting enterprise datacenter platforms for x86 or ARM architecture.</li><li>
Understanding of x86 and ARM system architecture for server design including BMC, security and out of band management.</li><li>
Capable of excelling in a dynamic, constantly evolving environment.</li><li>
Professional-level interpersonal skills, including your ability to adjust your communication to the technical level of the audience.</li><li>
An innate capability to accurately and succinctly communicate procedures, results, and recommendations to customers.</li><li>
Proficient in Linux distros including Python programming and bash scripting</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're creative and autonomous, we want to hear from you.</div></div></div></div></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 96,000 USD - 161,000 USD for Level 1, and 108,000 USD - 184,000 USD for Level 2.<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 August 31, 2025.
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>

OEM Account Applications Engineer - New College Grad 2025

<div>At NVIDIA, we constantly innovate to amplify human intelligence. Our invention of the GPU sparked revolutions in gaming, computer graphics, and parallel computing. Now, GPU deep learning is driving modern AI forward. Join our GPU AI/HPC Infrastructure team and lead the design of groundbreaking GPU compute clusters for demanding AI, HPC, and compute-intensive workloads.
In this role, you'll lead and operate substantial AI GPU Clusters at unprecedented scale. You'll build an extraordinary team to optimize datacenter resource usage, drive operational excellence through automation, and create a cost-effective global computing infrastructure. Help us solve strategic challenges and implement methodologies, tools, and metrics for effective resource utilization in a heterogeneous compute environment. Make the choice to join NVIDIA today and shape the future of AI computing!
What you'll be doing:<ul><li>
Building and improving our ecosystem around GPU-accelerated computing including developing large scale automation solutions.</li><li>
Supporting our researchers to run their flows on our clusters including performance analysis and optimizations of deep learning workflows. Improving reliability and overall Researcher Productivity.</li><li>
Architect and implement brand new strategies to optimize the utilization of our AI computing clusters, driving operational efficiency and resource maximization.</li><li>
Pioneer innovative solutions to streamline support processes, enabling our team to manage an unprecedented scale of GPU resources (10,000+ GPUs per support personnel).</li><li>
Lead the charge in building a future-proof AI computing infrastructure, ensuring seamless scalability and resilience to power groundbreaking AI models and applications.</li><li>
Collaborate with multi-functional teams to identify bottlenecks and opportunities for optimization, continuously improving the performance and cost-effectiveness of our AI computing operations.</li><li>
Empower your team with the tools, processes, and standard methodologies necessary to thrive in a dynamic, high-intensity environment, fostering a culture of operational excellence and continuous improvement</li></ul>
What we need to see:<ul><li>
Bachelor&rsquo;s degree or equivalent experience in Computer Science, Electrical Engineering or related field or similar area.</li><li>
Minimum 4 years of experience leading AI/ML and software development teams as a people manager with 10+ overall years of relevant experience.</li><li>
Consistent track record of leading high-performance teams in delivering innovative solutions to complex computational challenges, with a demonstrated ability to drive operational excellence and continuous improvement.</li><li>
Exceptional problem-solving skills, with the ability to analyze complex systems, identify bottlenecks, and implement scalable solutions that can accommodate the ever-increasing demands of AI computing.</li><li>
Shown leadership capabilities, with the ability to inspire and motivate multi-functional teams, fostering a culture of collaboration, innovation, and steadfast pursuit of operational excellence.</li><li>
Strong communication and collaborator management skills, enabling you to effectively articulate technical concepts to diverse audiences and align priorities across the organization.</li><li>
A passion for pushing the boundaries of what's possible in AI computing, with an aim to continuously explore and implement emerging technologies and standard processes to maintain our competitive edge.</li><li>
Strong people management and team-building skills. Can coach and grow talent, cultivate healthy engineering culture, and attract/retain talent. Ability to build a diverse, broad, and impactful team.</li></ul>
Ways to stand out from the crowd:<ul><li>
Experience with Machine Learning and Deep Learning concepts, algorithms and models</li><li>
Familiarity with InfiniBand with IBOP and RDMA</li><li>
Understanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workloads</li><li>
Familiarity with deep learning frameworks like PyTorch and TensorFlow</li></ul>
#LI-Hyrbid</div>

Engineering Manager, Internal GPU and HPC Computing Clusters

<div><div><div><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.</div>
NVIDIA&rsquo;s Software Configuration Management (SCM) systems are at the core of NVIDIA&rsquo;s rapidly growing AI, SW, and HW engineering and research teams who are building the future of computing. Our Infrastructure organization is seeking an experienced Engineering Manager to grow and lead a fast-paced team to define and deliver on a roadmap that enhances the customer experience for our large scale, globally distributed on-prem and cloud based SCM systems. In this position, you will collaborate with internal partners, senior management, security, IT, vendors, and CSP partners to deliver and deploy highly reliable and scalable solutions that dramatically boost the productivity and time to market for NVIDIA&rsquo;s products and services.</div><div> 
What you'll be doing:</div><div><ul><li>
Collaborate with internal and external customers, partners, and leadership to define an &ldquo;AI Ready&rdquo; roadmap for SCM systems that enables our customers to increase product development efficiency.</li><li>
Lead a team to develop, deploy, and operate infrastructure, tools, and services for our large and continuously growing SCM eco-system.</li><li>
Foster a culture of operational excellence, encouraging teams to continuously strive to improve the customer experience and drive impactful results.</li><li>
Regularly communicate program status. Accurately represent the importance of issues and call out issues appropriately. Be an enthusiast of data driven project management.</li><li>
Lead, grow, and coach your team to develop technical expertise, support their advancement, and prepare them to excel in new challenges.</li><li>
Work with customers, partners, and finance to forecast and manage the SCM budget, including deployments and refresh.</li></ul></div><div> 
What we need to see:</div><div><ul><li>
B.S. or M.S. in Computer Science, Computer Engineering, or equivalent experience</li><li>
8+ years overall relevant experience with 4+ years of leadership experience</li><li>
Track record leading an infrastructure team to improve efficiency and reliability driven by critical metrics and customer focused KPIs.</li><li>
Proficiency in project management including requirement gathering planning, scheduling, and staffing</li><li>
Knowledge of SCM methodologies with experience in GIT and/or Perforce</li><li>
Ability to evaluate modern hardware and software technologies, including AI assistants, to scale services and reduce operational overhead.</li><li>
History of building automation to scale services and reduce operational overhead.</li><li>
Outstanding problem-solving skills and the ability to work collaboratively with customers and across teams and organizations.</li><li>
Strong SW engineering process skills including development, test, and deployment using infrastructure-as-code and CI/CD automation.</li></ul></div></div><div><div> 
Ways to stand out from the crowd:</div><div><ul><li>
Experience developing and leading adoption of comprehensive Incident management processes, including customer communication.</li><li>
Expert level expertise building and running large scale Perforce, Gerrit, GitLab, or GitHub infrastructure.</li><li>
Understanding of hardware design workflows (EDA tools and methodology)</li><li>
Accountable for forecasting and budgeting.</li></ul></div><div> 
#LI-Hybrid</div></div></div>

Engineering Manager – Software Configuration Management

<div>NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a &ldquo;learning machine&rdquo; that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life&rsquo;s work , to amplify human creativity and intelligence. As an NVIDIAN, you&rsquo;ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!
We are now looking for a CAD Layout Design Engineer! 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. More recently, GPU deep learning ignited modern AI &mdash; the next era of computing. NVIDIA is a &ldquo;learning machine&rdquo; 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&rsquo;s work, to amplify human imagination and intelligence. Make the choice to join us today.
What you'll be doing:<ul><li>
You will be part of the groundbreaking &quot;Layout Methodology&quot; team with a charter to speed up layout creation, productivity and improve time to market of Nvidia IPs like SRAM/OP-AMP layouts and other custom layout blocks.</li><li>
Be the first to conduct an in-depth study of new technology and enable the rest of the design teams to seamlessly start off on new/advanced layout technology.</li><li>
Responsible for creating digital IP to enable layout work in new technology: PCELL creation, SRAM leaf cells, Productivity Scripts using SKILL</li><li>
Responsible for analysis of new technology and translating into layout guidelines for EMIR, DFM, SRAM etc.</li><li>
Investigate/Innovate next generation tools/methods for layout creation.</li><li>
Collaborating with circuit/layout designers to ensure design intent and efficiency</li><li>
Investigate/explore the applications of Machine Learning / Deep Learning / LLM techniques for layout creation.</li></ul>
What we need to see:<ul><li>
BE/M-Tech in Electrical &amp; Electronics or equivalent experience.</li><li>
1+ years of experience.</li><li>
Proven project cycle and tape out experience in SRAM/Analog layout design.</li><li>
Experience in advanced technology nodes like 5 or 3 nanometers is a must.</li><li>
Solid proficiency / expertise in the Cadence Skill language is a requirement for this job.</li><li>
Experience with pcell development is a big plus.</li><li>
Solid scripting skills in Python, Perl, Shell is a requirement.</li><li>
Experience with Deep Learning or Machine Learning tools, Software will be a massive plus for this job and experience with EMIR tools is a big plus, ability to root cause and fix EMIR issues is a requirement.</li><li>
Good social skills and be an excellent teammate.</li><li>
Excellent presentation and influencing skills and ability to communicate new ideas/tools to other groups.</li></ul>
We are an equal opportunity employer and value diversity at our company. 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 brilliant and talented people in the world working for us and, due to unprecedented growth, our elite 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.
#LI-Hybrid</div>

CAD Layout 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.