Urwah Admin

NVIDIA

<div>
 NVIDIA is searching for a highly motivated senior software engineer for the team that is building capabilities for a next generation Network management and Telemetry system in cloud using modern design principles at internet scale. The person will be will be responsible for building distributed cloud applications. It will be a highly scalable, modern network operations toolset that provides visibility, troubleshooting, validation and telemetry for Ethernet networks.
 
 
 
 What You'll Be Doing
 
 
 
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 Development of distributed applications, micro services and SAAS platform with high throughput and reliability.
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 Contribute to applications like data ingestion, distributed computing, near real time analytic engines, RESTful APIs and user interfaces.
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 Drive requirement discussions, design and product improvements.
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 Drive improvements in areas like performance, team productivity, automation, quality, monitoring and reliability of applications.
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 Working closely with the system architects, UI/UX and test engineers
 
 
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 What We Need To See
 
 
 
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 Bachelors/Masters Degree in Computer Science/Engineering
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 2+ years of experience in complex microservices based architectures.
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 Programming experience in one or more of the following languages - Scala, Go, Python
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 Fluent in coding and rapid prototyping.
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 Strong experience in developing, maintaining, and testing of scalable distributed applications.
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 Experience with stream processing frameworks, such as Kafka, Flink, Spark Streaming, Samza etc.
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 Background with NoSQL databases such as Cassandra, MongoDB.
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 Experience with orchestration/scheduling technologies like Kubernetes, SLURM, Nomad etc
 
 
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 Ways To Stand Out From The Crowd
 
 
 
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 Experience with public clouds like AWS.
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 Worked in Reactive application designs ( https://www.reactivemanifesto.o rg/).
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 Experience in network stacks, protocols, SDN.
 
 
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 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, passionate and self-motivated, we want to hear from you!
 
 
 NVIDIA is leading the way in ground-breaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.
 
 
 JR2005405
 
 
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Software Engineer - Backend

<div>Switch Silicon group. You'll join a group of hardworking engineers to craft and implement the next generation innovative Switch Silicon chips. In this position, you'll make a real impact in a dynamic, technology-focused company while developing best high-speed communication devices, delivering the highest throughput and lowest latency! The Networking Chip Design team in India is a new team which is growing at a fast pace.
What you'll be doing:
<ul><li>Verify Switch design's architecture and micro-architecture using advanced methodologies.</li><li>
Build reference models, verify and simulate chip blocks/entities according to specifications.</li><li>
Work closely with multiple teams within organizations such as Architecture, Micro- Architecture, and FW.</li><li>
You are encouraged to understand the design and implementation, define the verification scope, develop the verification infrastructure, test plans and tests and verify the correctness of the design at SOC level.</li><li>
Use sophisticated verification methodologies like e-specman, SV-UVM etc.</li></ul>
What we need to see:
<ul><li>BS (or equivalent experience) / MS with 3+ years of experience in design verification.</li><li>
Exposure to design and verification tools (Verilog/SV or equivalent, Cadence or equivalent simulation tools, debug tools like Indago, GDB etc.).</li><li>
Perl/python scripting language experience desirable.</li></ul>
Ways to stand out from the crowd:<ul><li>
Prior experience of Ethernet or InfiniBand Switches, and/or smartNICs or DPUs, and/or high-speed interconnects.</li><li>
Strong debugging, problem-solving and analytical skills.</li><li>
Scripting knowledge (Python/Perl/shell).</li><li>
Good social skills and ability &amp; desire to work as an excellent teammate.</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
NVIDIA is committed to encouraging 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.
#LI-Hybrid</div>

Senior Verification Engineer, Switch SoC

<div>Are you passionate about inspiring change, building data driven tools to improve software quality, and ensuring customers have the best experience? If so, we have a phenomenal opportunity for you! NVIDIA is seeking a creative, and hands-on software engineer with a test to failure approach who is a quick learner, can understand software and hardware specifications, build reliable tests and tools C++/C#/Python to improve quality and accelerate delivery of NVIDIA products.<div><div><div><div> 
What you&rsquo;ll be doing: 
As a Software Automation and Tools Engineer, you will take part in technical design and implementation of tests for NVIDIA software products with the goal to identify defects early in the software development lifecycle. You will also build tools that accelerate execution workflows for the organization. In this role you can expect to:<ul><li>
Develop automated end to end tests for NVIDIA device driver and SDKs on windows platform. Execute automated tests, identify, and report defects. Measure code coverage, analyze and drive code coverage improvements.</li><li>
Develop applications and tools that bring data driven insights to development and test workflows.</li><li>
Build tools/utility/framework in Python / C / C++ which would help automate and optimize the testing workflows in GPU domain.</li><li>
Write maintainable, reliable, and well detailed code. Debug issues to identify the root cause. Provide peer code reviews including feedback on performance, scalability, and correctness</li><li>
Optimally estimate and prioritize tasks in order to create a realistic delivery schedule</li><li>
Generate and test compatibility across a range of products and interfaces.</li><li>
Work closely with leadership to report progress by generating effective and impactful reports</li><li>
You will have the opportunity to work on challenging technical and process issues.</li></ul>
What we need to see:<ul><li>
B.E./B. Tech degree in Computer Science/IT/Electronics engineering with strong academics or equivalent experience</li><li>
5+ years of programming experience in Python/C/C++ with experience in applying Object-Oriented Programming concepts.</li><li>
Hands-on knowledge of developing Python scripts with application development concepts like dictionaries, tuples, RegEx, PIP etc.</li><li>
Good experience with using AI development tools for test plans creation, test cases development and test cases automation</li><li>
Experience with testing RESTful APIs and the ability to conduct performance and load testing to ensure the application can handle high traffic and usage.</li><li>
Experience working with databases and storage technologies like SQL and Elasticsearch</li><li>
Good understanding of OS fundamentals, PC Hardware and troubleshooting.</li><li>
The ability to collaborate with multiple development teams to gain knowledge and improve test code coverage</li><li>
Excellent written and verbal communication skills and Excellent analytical and problem-solving skills.</li><li>
The ability to work with a team of engineers in a fast paced environment</li></ul>
Ways to stand out from the crowd:<ul><li>
Prior project experience with building ML and DL based applications would be a plus</li><li>
Good understanding of testing fundamentals</li><li>
Good problem solving skills (solid logic to apply in isolation and regression of issues found).</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. Due to outstanding growth, our elite engineering teams are rapidly growing. If you're creative with a real passion for technology, we want to hear from you. 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, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation</div></div></div></div></div>

Senior Tools Dev 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. NVIDIA is seeking a Supplier Quality Engineer responsible for working with NVIDIA's component suppliers to develop and implement world class supplier quality programs for our AI centric datacenter, automotive and consumer products. This is a meaningful role that will closely work with Hardware Engineering, Product Engineering, and Quality Engineering groups within NVIDIA, as well as our vendors and contract manufacturer partners. The ideal candidate will have stellar analytical skills with a deep rooted structured problem-solving background and show proven experience in failure analysis resolution. Coupled with strong grasps of NPI quality methodologies to bring up supplier quality metrics, this individual shall lead activities properly defining quality expectations at component level.
What you'll be doing:<ul><li>
Responsible for managing end-to-end component quality, working closely with suppliers and internal teams to assure new product readiness and ensure performance meets key quality and reliability metrics.</li><li>
Establish and lead activities within internal and external teams to ensure proper definition of quality expectations appropriate for each mechanical component. Compile and evaluate data to understand acceptable limits of manufacturing process.</li><li>
Drive component Failure Analysis activities, including: understanding component failures and defining FA goals, coordinating complete FA work at suppliers&rsquo; FA facilities, summarizing and presenting FA results, implementing Corrective Actions and lessons learned following 5-Why practice.</li><li>
Develop continuous improvement plan with suppliers and track/reporting progress</li><li>
Track supplier&rsquo;s quality Key Performance Indicators closely</li><li>
Prepare and present business review quality sections, manage process/product improvement changes, and lead quality audits at supplier sites.</li><li>
Monitor supplier&rsquo;s alignment to new product introduction schedules to ensure predictable and stable mass production volume ramp.</li><li>
Quality representative to internal teams, supporting activities for customer quality and internal quality requirements.</li><li>
Ability to travel domestically/internationally to supplier sites on as needed basis ~10-15%</li></ul>
What we need to see:<ul><li>
Hold a B.Sc. or M.Sc. in Engineering (Electrical engineering, Mechanical engineering, Manufacturing Engineering or equivalent area) or equivalent experience.</li><li>
5+ year&rsquo;s relevant experience in a complex, high-volume manufacturing environment with audit experience</li><li>
Knowledge of design, process and manufacturing of interconnect and sensors, specifically cables and connectors for high speed IO applications.</li><li>
Proven understanding of data driven, statistical QC and QA problem solving methodology</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 and, due to unparalleled growth, best-in-class teams are rapidly growing. If you&rsquo;re creative and autonomous with a real passion for your work, 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 108,000 USD - 172,500 USD for Level 3, and 140,000 USD - 224,250 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 November 8, 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 Supplier Quality Engineer

<div><div><div><div><div>NVIDIA&rsquo;s 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 deep learning &mdash; the next era of computing &mdash; with the GPU acting as the brain 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 are looking to grow our company and establish teams with the most thoughtful people in the world. NVIDIA DGX, HGX, and MGX systems deliver the world's leading solutions for enterprise AI infrastructure at scale.</div><div>
We are seeking a dedicated and experienced RAS (Reliability, Availability, and Serviceability). Senior Engineer. You will be responsible for improving the reliability of NVIDIA GPU and Grace systems by designing, architecting, and implementing robust RAS features. You will collaborate with multi-functional teams, including hardware engineers, system architects, and software developers, to compose architecture that meets strict reliability standards and provides outstanding customer experiences. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement.</div><div>
What you will be doing:</div><div><ul><li>
Design, architect, and deliver server-level RAS for NVIDIA&rsquo;s data center products.</li><li>
Define RAS requirements that ensure compliance with industry standards and customer expectations for scale-out environments.</li><li>
Develop fault detection, isolation, and recovery mechanisms to ensure system resilience and minimize downtime.</li><li>
Evaluate and select appropriate technologies and components to optimize reliability, availability, and serviceability, considering factors such as mean time between failures (MTBF), mean time to repair (MTTR), and total cost of ownership (TCO).</li><li>
Collaborate with customers, vendors and suppliers to assess and integrate their RAS-related solutions into the overall system architecture.</li><li>
Conduct system and cluster level simulations, analysis, and testing to validate and verify the effectiveness of the RAS architecture and its components.</li><li>
Stay up to date with the latest advancements in RAS techniques, fault tolerance mechanisms, and industry trends to guide future system designs.</li><li>
Work with NVIDIA partners on RAS related architecture and discussions to improve their use of NVIDIA products.</li><li>
Work on all phases of product development, from product definition, architecture, and design, through implementation, debugging, testing and early customer support.</li></ul></div><div>
What we need to see:</div><div><ul><li>
BS, MS, or PhD or equivalent experience in EE/CS or related field of education with demonstrated experience of 10+ years</li><li>
Strong python programming in Linux operating environment, strong understanding of Linux kernel internals, strong code review skills.</li><li>
Extensive knowledge in system-level architecture invention, reliability engineering, and fault tolerance mechanisms, optimizing RAS architectures for complex computing systems, data centers, or critical applications.</li><li>
Proficient in scale-out architectures, hands on experience are a plus.</li><li>
Proficiency in system-level simulation tools and methodologies (e.g., fault injection, reliability block diagrams, failure rate analysis).</li><li>
Excellent problem-solving skills, attention to detail, and the ability to analyze complex system-level issues.</li><li>
Possess excellent written and oral communication skills, excellent work ethics, a deep sense of collaboration, love to produce quality work and commitment to finishing your tasks every single day.</li><li>
You are a self-starter who loves to find creative solutions to complicated problems.</li></ul></div></div><div><div>
Ways to stand out from the crowd:</div><div><ul><li>
Consistent track record of doing RAS at platform level</li><li>
Familiar with In-depth understanding of the interaction of machine check architecture and error flows with system firmware/software.</li><li>
Hands on with x86 or ARM system architecture.</li></ul></div><div>
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!</div></div></div></div></div>

Senior Server RAS 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 an exceptional Senior Financial Analyst to join the Software Engineering FP&amp;A Organization based out of Santa Clara campus. The role requires high-level analytical proficiency, strong problem-solving skills, and excellent communication skills. As an integral member of the Finance team, our organization&rsquo;s overarching responsibilities are to provide the highest caliber of relevant financial and business analysis that is both insightful and measurable, enabling effective decision-making at all levels of the company and improving our financial performance. It is a visible role within Finance for an energetic individual who thrives on inspiring change and impacting the business in a dynamic, fast-paced environment. The role requires exceptional analytical proficiency, strong problem-solving skills, and excellent communication skills. Your overarching responsibilities will be to build and maintain a strong collaborative partnership with Engineering and Marketing leaders to strategically align roadmaps and manage the financial planning of this organization. This is a highly visible role for an energetic individual who can function in a dynamic, fast-paced, and rapidly changing environment.
What You'll Be Doing:<ul><li>
Build strong partnership with Engineering and Marketing leaders supporting global investments to ensure that spending is aligned to key objectives and initiatives. Investments include headcount, contractors, software and hardware infrastructure, tools, and licenses.</li><li>
Develop a comprehensive understanding of the robotics industry and the company to analyze investments, identify cost-effective options, assess project priorities, and provide solutions for the business.</li><li>
Prepare forecasts for investments, headcount, operating and capital expenditures and analyze quarterly variances to forecasts by identifying associated risks and opportunities.</li><li>
Establish efficient processes for monthly and quarterly close and performance reporting. Implement practices for budget management and investment optimization.</li><li>
Improve processes to increase accuracy and efficiency.</li></ul>
What We Need to See:<ul><li>
Bachelor's degree or equivalent experience in finance, Data Science, Engineering, or a related field; MBA or equivalent advanced degree preferred.</li><li>
5+ years&rsquo; experience in financial planning and analysis, with experience in analysis, forecasting, and modeling preferably within global high-tech.</li><li>
Possess strong interpersonal, communication, and listening skills which allows effective communication with both Finance and Engineering leaders.</li><li>
Strong analytical skills and advanced financial modeling, with ability to build and convey business insight.</li><li>
Ability to multi-task, work independently, and in teams to identify and solve problems collectively.</li></ul>
Ways to stand out from the crowd:<ul><li>
Solid business judgment with ability to think strategically and plan effectively; be hands on, accurate, with attention to details, and results oriented.</li><li>
SAP ECC, S4 and BPC, Power BI, or SQL skills</li><li>
Strong understanding of industry technology and market dynamics in areas directly related to NVIDIA&rsquo;s products, research and development.</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 talented people in the world working for us. If you're creative, ambitious and enjoy having fun, then what are you waiting for? Apply today!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 161,000 USD for Level 3, and 124,000 USD - 195,500 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 November 9, 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 Financial Analyst

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people! Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!NVIDIA's Accelerated Computing team sits is a driving force behind the explosion of Machine Learning, Artificial Intelligence and High-Performance Computing. We are looking for a highly capable individual with a consistent track record in technology and the skills for GPU product definition for Data Center. We are a small, dynamic, and motivated team that defines the next generation of products for these high growth markets.What you'll be doing:<ul><li>Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models, for training and inference</li><li>Find opportunities where we uniquely can address customer needs, and translate these into compelling GPU value proposition and product proposals</li><li>Work cross functionally with our partners, engineering, operations & field teams to develop comprehensive product go to market plans and product positioning</li><li>Work with our sales organization to develop effective sales collateral and tools</li></ul>What we need to see:<ul><li>6+ years of total experience in technology with previous product management, AI related engineering, design or development experience highly valued</li><li>BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus.</li><li>Demonstrated ability to fully contribute in one or more of the areas above within 3 months</li><li>Knowledge of, and capable of explaining GPU, software and computing architectures</li><li>Strong desire to learn, motivated to tackle complex problems and the ability to make sophisticated trade-offs</li></ul>Ways to stand out from the crowd:<ul><li>Direct experience in developing or deploying large scale GPU based AI applications, like Large Language Model, for training and inference</li><li>Strong background in building or leading cloud computing infrastructure and technologies</li></ul>Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family 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 208,000 USD - 327,750 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 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.

Senior Accelerated Computing GPU Product Manager

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.