Urwah Admin

NVIDIA

<div>NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for over 25 years. It&rsquo;s a unique legacy of innovation fueled by great technology&mdash;and dynamic 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. NVIDIANS immerse themselves in a diverse, supportive environment that encourages everyone to do their best work. Join the team and see how you can make a lasting impact on the world.
NVIDIA Base Command Manager powers thousands of clusters worldwide, varying from a few to several thousands of nodes, and streamlines cluster provisioning, workload management, and infrastructure monitoring. It provides all the tools you need to deploy and run an AI data center. We take great pride in providing excellent, comprehensive support to our customers! The Technical Support Engineer in this role will significantly impact and contribute to the overall success of both external customers running their clusters with NVIDIA solutions AND internal clusters used for research, operations, and next-generation projects.
What you&rsquo;ll be doing:<ul><li>
Support our internal and external customers using our Linux-based cluster management software product, ensuring everyone receives the help they require to support their clusters.</li><li>
Collaborate with the development team to collect the correct information and escalate issues to the appropriate development team.</li><li>
Become and serve as a subject-matter expert in several areas, for several high-profile customers.</li><li>
Research and development tasks for customers or internal use by our development team.</li><li>
Participate in proactive discussions with internal stakeholders to ensure BCM best practices are widely communicated.</li><li>
Work with the latest hardware (e.g. GPUs, AI accelerators, high-speed interconnects) and software technologies such as parallel filesystems (e.g. Lustre, GPFS, WekaIO), Jupyter, and various ML frameworks and tools, Spark, Kubernetes, and Ceph.</li></ul>
What we need to see:<ul><li>
BS degree or equivalent experience in Computer Science or related field.</li><li>
5 years of relevant, aligned experience providing system adminstriation in the HPC realm, ideally in a customer-facing role.</li><li>
Proven research skills and interest in assisting customers to achieve their goals.</li><li>
Experience in a technical customer-facing role.</li><li>
Eagerness to learn and become an authority on our product.</li><li>
Excellent written communication skills with the ability to easily convey complex technical information to consumable summaries.</li><li>
In-depth knowledge of Linux.</li><li>
Familiarity with typical Linux installations and their most common software elements.</li></ul>
Ways to stand out from the crowd:<ul><li>
Experience with high-performance computing and system administration would be an asset</li><li>
Previous experience as a system admin running BCM/Bright Cluster Manager/Base Command Manager clusters is a definite plus.</li></ul></div>

Technical Support Engineer, Linux and HPC Admin

<div>NVIDIA DRIVE&reg; embedded supercomputing platforms process data from camera, radar, and lidar sensors to perceive the surrounding environment, localize the car to a map, then plan and execute a safe path forward. This AI platform supports autonomous driving, in-cabin functions, and driver monitoring, plus other safety features&mdash;all in a compact, energy-efficient package. We need passionate, hard-working and creative people to help us tackle more of these challenging opportunities in Autonomous Driving and In-Car Infotainment.
What you&rsquo;ll be doing:<ul><li>
Develop solutions around NVIDIA GPU and Deep learning accelerators to realize DNNs for ADAS Systems</li><li>
Optimize DNNs for the GPU and other hardware accelerators like DLA using CUDA/TensorRT</li><li>
Improve DNN architectures using ML algorithms on NVIDIA GPUs or DLAs</li><li>
Conduct benchmarking and evaluation activities to continuously improve inference latency, accuracy and power consumption of DNNs</li><li>
Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas to improve NVIDIA's automotive DNNs</li><li>
Responsible for the technical relationship and assisting the automotive customer in building creative solutions based on NVIDIA technology</li><li>
Collaborate with engineering teams in our US, APAC, India and Europe locations</li></ul>
What we need to see:<ul><li>
BS or MS degree in Computer Science, Computer Engineering or Electrical Engineering</li><li>
Experience in developing or using deep learning frameworks (e.g. TensorFlow, Keras, PyTorch, Caffe, ONNX, etc.)</li><li>
4+ years of experience in optimizing DNN Layers for GPU or other DSPs</li><li>
Proficiency in C and C++ and Data Structures</li><li>
Strong OS fundamentals and knowledge of CPU/GPU architecture</li><li>
Familiar with state-of-the-art CNN/LSTM/Transformers architecture</li></ul>
Ways to stand out from the crowd:<ul><li>
Strong analytical and problem solving skills</li><li>
Background with NVIDIA software libraries such as CUDA and TensorRT</li><li>
Experience in automotive development processes like ASPICE or ISO26262</li><li>
Excellent communication and organization skills</li><li>
Understanding of the NVIDIA DRIVE or NVIDIA GPU hardware</li></ul>
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, expression, sexual orientation, age, marital status, veteran status, or disability status.</div>

Senior System Software Engineer - Deep Learning

<div>NVIDIA is hiring experienced software engineers with kubernetes experience to help scale up its AI Infrastructure. We expect you to have significant software engineering experience with kubernetes including cluster operations, operator development, node health monitoring and working with GPU resource scheduling. We welcome out-of-the-box thinkers who can provide new ideas with strong execution bias. Expect to be constantly challenged, improving, and evolving for the better. You will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications. If you're creative, passionate about kubernetes and GPUs, and love having fun, please apply today! 
For two decades, we have pioneered visual computing, the art and science of computer graphics. With the invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.
What you will be doing:<ul><li>
You will be part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads. This includes working on custom software related to scheduling GPU resources on kubernetes.</li><li>
Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets. You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry.</li><li>
Working with teams across NVIDIA to ensure production AI clusters run reliability and consistently with maximum performance. Evaluating system failures and improving services based on a well-defined incident management process.</li></ul>
What we need to see:<ul><li>
Direct experience in a software engineering role within a highly technical organization with demonstrable impact from your work. Software development experience with kubernetes APIs and frameworks not just operating a cluster.</li><li>
Highly motivated with strong communication skills, you can work successfully with multi-functional teams, principles, and architects and coordinate effectively across organizational boundaries and geographies.</li><li>
8+ years in similar role and experience on large-scale production systems. Experience with common software engineering principles, tools and techniques.</li><li>
You possess a BS in Computer Science, Engineering, Physics, Mathematics or a comparable Degree or equivalent experience.</li><li>
Technical knowledge, including a systems programming language (Go, Python) and a solid understanding of data structures and algorithms.
</li></ul>Ways to stand out from the crowd:<ul><li>
Technical competency in managing and automating large-scale distributed systems independent of cloud providers. Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, Slurm, Bright Cluster Manager)</li><li>
Proven operational excellence in maintaining reliable and performant AI 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 on the planet working for us. If you are creative and autonomous, 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 168,000 USD - 270,250 USD for Level 4, and 208,000 USD - 333,500 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 November 30, 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 Software Engineer, Distributed Systems Engineer - DGX Cloud

<div>NVIDIA Aerial CUDA Accelerated RAN (ACAR) is framework for building high-performance, software-defined, cloud-native Radio Access Network functions over NVIDIA CPU/GPU/DPU based systems. We are seeking a self-motivated senior performance engineer to drive performance and scalability of our platform. This position offers the opportunity to work on cutting-edge technology for 5G and 6G networks, using NVIDIA's world-class compute platforms to advance the field of software-defined digital signal processing stack!
What you'll be doing:
As a member of Aerial RAN team working for 5G and 6G networks, you will be responsible for:<ul><li>
Developing new Features for Aerial L1 and L2 Software</li><li>
Optimizing CPU, GPU and NIC sub-systems for predictable low-latency and maximum efficiency</li><li>
Crafting and implementing performance verification tools, frameworks and dashboards</li><li>
Monitoring and prioritizing performance regressions reported by CI/CD</li><li>
Collaborating with multi-functional teams to solve performance bottlenecks in CPU, GPU and NIC sub-systems</li><li>
Benchmarking performance use-cases on different platforms</li></ul>
What we need to see:<ul><li>
BS/MS (or equivalent experience) in a relevant field and 12+ years&rsquo; experience or PhD with 7+ years&rsquo; experience or equivalent.</li><li>
Strong software design, development, debugging and testing skills.</li><li>
Hands-on experience with performance analysis, characterization and optimization.</li><li>
Experience with programming latency sensitive, real-time, multi-threaded applications on CPUs and one or more of GPUs or DSPs or Vector processors.</li><li>
Deep knowledge of CPU, DSP or GPU architecture, as well as memory, I/O and networking interfaces.</li><li>
Familiarity with data science and using visualization tools to summarize large quantities of data.</li><li>
Experience in one or more programming / scripting languages: C/C++, Python, shell scripting.</li></ul>
Ways to stand out from the crowd<ul><li>
Experience in designing and managing firmware timelines for wireless SoCs used in cellular wireless networks and/or terminals!</li><li>
Experience in massive MIMO algorithm implementation and optimization for OTA performance</li><li>
Track record in E2E design/testing of signal processing algorithms at the PHY layer or resource allocation optimization at MAC level.</li><li>
Experience in field support/Network Optimization in real world deployments</li><li>
Appetite to learn the details of how next generations of GPU will operate and build an outstanding Software-Radio 5G/6G stack that can fully demonstrate their power.</li></ul></div>

Senior Software Aerial Performance Engineer

<div>
 NVIDIA Networking division is a leading supplier of innovative end-to-end NVLINK, InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading solutions that include adapter cards, switches, cables, and software to support networking technologies. Our products optimize data center performance, leveraging NVIDIA&rsquo;s AI solution and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of sectors, including high-performance computing, enterprise, data centers, cloud computing, big data, and Web 2.0.
 
 
 We are constantly challenging ourselves to stay ahead of the market and bring groundbreaking products and services to the industry. NVIDIA is widely considered one of the technology world&rsquo;s most desirable employers. We have some of the most talented and forward-thinking individuals in the world working for us. If you are creative and autonomous, we want to hear from you! NVIDIA Networking division is looking for an excellent NPI Engineer. Join us on your quest for an outstanding career with an extraordinary team!
 
 
 
 What You'll Be Doing
 
 
 
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 <li>
 Be an integrated part of the product design
 </li>
 <li>
 Establish NPI production lines at CM&rsquo;s sites
 </li>
 <li>
 Enforce quality standards and monitor yields
 </li>
 <li>
 Lead internal and externals cross-functional teams to meet engineering aspects
 </li>
 <li>
 Develop and implement manufacturing processes for new products to meet projects requirements
 </li>
 <li>
 Drive CMs to excellence in aspects of manufacturing process, quality management and HVM mindset
 
 
 </li>
 </ul>
 
 What We Need To See
 
 
 
 <ul>
 <li>
 B.Sc. or equivalent experience. in Mechanical or Industrial Engineering
 </li>
 <li>
 5+ years of relevant experience
 </li>
 <li>
 Experience in PCBA manufacturing, including knowledge of PCB design, SMT process, mechanical assembly and testing processes.
 </li>
 <li>
 Experience in leading projects with multi CMs/vendors
 </li>
 <li>
 Strong problem-solving and analytical skills to identify and resolve technical issues during the product development process.
 </li>
 <li>
 Well organized and details oriented.
 </li>
 <li>
 Excellent English, reading, writing and presentation capabilities.
 </li>
 <li>
 Relevant Courses: Project management (advantage), Quality/process-related courses
 
 
 </li>
 </ul>
 NVIDIA is widely considered to be one of the technology world&rsquo;s most desirable employers. We have some of the most talented and forward-thinking individuals in the world working for us. If you're creative and autonomous, we want to hear from you! 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.
 
 
 JR1999759
 
 
</div>

Senior NPI Engineer

<div><div><div>Job Description</div></div><div><div><div><div><div><div><div><div><div>
At NVIDIA, we&rsquo;re solving the world&rsquo;s most ambitious problems with our groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. We are looking for a Developer Relations Manager to work with developers from our Independent Software Vendors (ISVs) and Service Providers (SPs) ecosystem to integrate our portfolio of GPU Accelerated Computing solutions i.e. AI/ML/DL, specifically Generative AI, Agentic AI &amp; Physical AI, and to build comprehensive multi-cloud, hybrid and on-prem solutions. We need a passionate, focused, self-driven and creative technologist who has the skills and strive to work in a fast-evolving technological environment that is always on the cutting edge of AI and High-Performance Computing.
This individual is motivated, skilled in communication and collaboration, stays organized, and prioritizes achieving goals. Roles will include being a technologist with in-depth AI knowledge, accelerated computing platform evangelist, business development and project management to our largest ISVs/SPs with regional and global presence. This includes integrating new or expanding existing solutions, co-architecting and advising on repeatable solutions, jointly scope project requirements for Agentic AI, Gen AI, LLMs and VLMs, and understanding integrations with the ecosystem, and private/hybrid platforms, etc.<h2 class="jobSectionHeader">
What you'll be doing:</h2><ul><li>
Proactively seek opportunities to solve AI problems that can be accelerated by positioning NVIDIA AI SW and be catalyst in ideation, scoping and driving for adoption</li><li>
Position NVIDIA tools, libraries, and SDK&rsquo;s with key ISVs&rsquo; and Solution Providers&rsquo; architects/developers to accelerate their software</li><li>
Deep understanding of Agentic AI, Gen AI workflows and LLM breakthroughs, evolving ecosystem and alliances, attending conferences, building a network of influencers, and tracking opportunities in progress.</li><li>
Discover new workflows, identify blockers to ISV adoption, and report back to the product teams.</li><li>
Drive early adoption of new products and support launch and go-to-market activities.</li><li>
Collaborate with NVIDIA partner managers, solution architects, industry business development managers, sales and marketing.</li><li>
We make heavy use of conferencing tools, but some travel is required. You are empowered to find the best way to get your job done and make our partners successful.</li></ul><h2 class="jobSectionHeader">
What we need to see:</h2><ul><li>
BS or MS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience).</li><li>
10+ years of work-related experience in technical leadership role and architecting GPU accelerated computing solutions.</li><li>
Deep understanding of Agentic AI, Gen AI and LLM ecosystem of startups, ISVs, data stores, CSP services, and SaaS/platform offers.</li><li>
Strong analytical and problem-solving skills, with deep empathy for developers.</li><li>
Clear written and oral communication skills with proven track record to articulate value propositions to executive and technical audiences.</li><li>
Strong project management skills: ability to plan, prioritize, and drive forward multiple projects simultaneously, while engaging with internal and external stakeholders.</li><li>
Extensive knowledge and experience with recent advancements in LLMs, VLMs Agentic AI and Gen AI.</li><li>
Hands-on experience with software architecture design, implementation and programming skills</li><li>
Passionate about AI and its evolving growth with continuous learning spirit, self-started and driven on focused outcome oriented activities</li></ul><h2 class="jobSectionHeader">
Ways to stand out from the crowd:</h2><ul><li>
Experience developing with ML/DL frameworks and AIOps/MLOps ecosystem of partners and solutions in the cloud and on-prem.</li><li>
Background with cloud-based solution designing, APIs and Microservices, orchestration platforms, storage solutions and data migration techniques.</li><li>
Experience and empathy for software engineering and application development.</li><li>
Exposure to NVIDIA AI Software</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 individuals in the world working for us. If you're creative and autonomous, we want to hear from you!</div></div></div></div></div></div></div></div></div></div>

Senior Developer Relations Manager

<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. Come join the team and see how you can make a lasting impact on the world. The NVIDIA Sales Operations Team is looking for a Sales Operations Analyst to build programs and implement sales strategies that will support NVIDIA&rsquo;s key Go-to-Market initiatives! We seek a high-energy Sales Operations professional who will partner with sales leaders, regional sales operations teams, business operations, and other groups to align business and financial goals. It is an exciting opportunity to be a leader in our fast-growing team! 
What you'll be doing:<ul><li>
Lead initiatives to streamline and redesign processes by evaluating current sales and operational workflows, identifying inefficiencies, bottlenecks, and gaps.</li><li>
Engage with sales, customer success, professional services, and product teams to lead multi-workstream projects, ensuring rapid time-to-market and multi-functional alignment.</li><li>
Work closely with cross-functional teams&mdash;including Sales, Operations, Finance, Legal, and IT&mdash;to capture input, define requirements, and align process improvements with organizational objectives.</li><li>
Handle ad hoc requests for reports, processes, assistance, and general support for sales.</li><li>
Build user-friendly training content (presentations, user guides, videos, FAQs) and deliver engaging in-person and virtual training sessions.</li><li>
Track adoption rates, collect feedback, and use data to optimize business processes and the user experience, driving continuous improvement.</li><li>
Own the design, development, administration, and continuous improvement of a ServiceNow platform.</li></ul>
What we need to see:<ul><li>
BA/BS/Masters in Business Administration, Finance, Economics, or equivalent experience</li><li>
8+ years of experience in sales, operations, and Technology</li><li>
An understanding of the business and technology landscape of sales and business operations.</li><li>
Familiarity with AI-enabled tools and agentic platforms</li><li>
Experience delivering Salesforce &amp; ServiceNow implementations.</li><li>
Prior experience supporting and launching customer/partner-facing solutions.</li><li>
Ability to take initiative, work flexibly, and set priorities with minimal direct supervision.</li></ul>
Ways to stand out from the crowd:<ul><li>
Passion for winning, a strong interest in business strategy, and excellent collaboration skills.</li><li>
Self-starter, self-confident individual with integrity and accountability, highly motivated, driven, ambitious, and attracted to a meaningful opportunity.</li><li>
Proven ability to work in a fast-paced environment, managing multiple high-priority projects, where strong organizational skills are essential.</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!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 4, and 168,000 USD - 264,500 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 November 30, 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 Business Systems Analyst

Join NVIDIA and explore 12   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.