Urwah Admin

NVIDIA

<div>
 The Golden Register Team within Automotive Software plays a critical role in NVIDIA's expansion into the world of autonomous vehicles. In order to fully use the capabilities of NVIDIA's best engineers, the team helps build software and processes that enable writing safer software &amp; that will save thousands of work hours in the company. The infrastructure we are building is pioneering and you will contribute to its growth. Do you love writing precision code, reasoning through complicated requirements that span Embedded SW, HW domains, and clearly communicating your ideas with others? Would you enjoy working to improve the future? We are growing a team that will truly change the world, and we would love for you to join us. We are hiring now for the position of Systems Software Engineer.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
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 Designing and developing system software, applications and tools for NVIDIA SOC and GPU hardware based platforms.
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 Using your operating systems, computer architecture and product life-cycle knowledge and experience.
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 Working with teams across the company to design and develop processes for safer software
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 Influencing how large teams work, using the set of tools and infrastructure you help develop
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 Developing creative solutions to improve overall efficiency
 
 
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 What We Need To See
 
 
 
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 Masters in Science in EE/CS
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 2+ years of experience
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 Expertise in C &amp; Python programming
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 Strong interpersonal communication skills
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 Understanding of Operating systems fundamentals
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 Understanding of processor architecture fundamentals
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 Proficiency in REST API and scripting languages
 
 
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 Ways To Stand Out From The Crowd
 
 
 
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 Background in device driver programming for ARM based processors
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 Experience in Pre-Silicon/Post-Silicon bringup of complex SoCs
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 Experience with QNX, and real time programming
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 Experience in Automotive Safety Standards and MISRA-C
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 Demonstrated initiative to resolve large and complex problems
 
 
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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 resourceful and versatile people on the planet 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.
 
 
 JR2004338
 
 
</div>

Systems Software Engineer - Automotive

<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 looking for a QA and Automation Engineer to join as a member of our international Raytracing Software Team.
 
 
 
 What You'll Be Doing
 
 
 
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 Implementing CI/CD systems across many branches and products.
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 Implement automation for tracking performance changes across releases.
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 Own testing and tracking of customer benchmarks and test suites.
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 Build, develop and implement tests for the new features, as part of raytracing software and driver releases.
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 Report bugs found during execution, assist with bug reproduction and debug sessions to understand root cause, verify bug fixes provided by the team.
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 Integration testing with Drivers, Tools and Customer Applications.
 
 
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 What We Need To See
 
 
 
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 B.S. in Computer Science or equivalent experience
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 5+ years of shown experience in testing applications
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 Authority level proficiency with Jenkins and other orchestration systems
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 Independent, responsible and hardworking for computer engineering
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 Excellent communication skills (written and verbal) and interpersonal skills
 
 
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 Ways To Stand Out From The Crowd
 
 
 
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 Experience with Computer Graphics (Raytracing) and Professional Rendering
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 Proficiency in C++, CMake, and GNU make
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 Validated experience with automation infrastructure develop and planning
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 Experience with QA Methodologies and testing tools
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 Hands-on experience with CI/CD and Test Development
 
 
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 </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 128,000 USD - 201,250 USD for Level 3, and 152,000 USD - 247,250 USD for Level 4.
 
 
 You will also be eligible for equity and benefits .
 
 
 Applications for this job will be accepted at least until December 16, 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.
 
 
 JR2009703
 
 
</div>

Software QA and Automation 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 looking for outstanding Senior Deep Learning Software Engineers to develop and productize NVIDIA's deep learning solutions in autonomous driving vehicles. In the Solution Engineering-Automotive Machine Learning team, we are developing new technologies to allow more capable deep learning models to be deployed in Physical AI systems. As part of the role, you will develop compiler technology to allow larger and better models to be optimized to leverage NVIDIA&rsquo;s unique hardware architecture. You will also be exposed to the most pressing problems that our partners face during product development and coordinate with other architecture and software teams to develop the best solution for partners working on our platforms.
What you'll be doing:<ul><li>
Developing compiler technologies to accelerate deep learning inference on NVIDIA hardware platforms for Physical AI.</li><li>
Working across a wide range of abstractions from model fine-tuning and quantization to low-level kernel development and performance optimization.</li><li>
Develop workflows that let users leverage frameworks (e.g. PyTorch, JAX) and compiler technologies tools (e.g. MLIR, Triton) without forgoing performance</li><li>
Work with customers to help accelerate their workloads on NVIDIA platforms.</li><li>
Stay up to date with the latest research and innovations in deep learning, implement and experiment with new insights to improve NVIDIA's Physical AI DNNs.</li></ul>
What we need to see:<ul><li>
MS or PhD degree in computer science, computer vision, robotics, computer architecture or equivalent experience in technical field (or equivalent experience)</li><li>
5+ years of work experience in software development.</li><li>
2+ years of experience in **developing** deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX, etc.) or compiler technologies (e.g. LLVM, MLIR, TVM, Triton, etc.).</li><li>
Domain experience in technologies used for GPU programming (e.g. CUDA C++ and/or DSLs like OpenAI Triton) or with system-level optimization for deep learning training or inference.</li><li>
Strong C/C++ programming skills</li><li>
Familiar with start-of-the-art deep learning techniques for inference and training.</li><li>
Willing to take action and have strong analytical skills.</li></ul>
Ways to stand out from the crowd:<ul><li>
Experience with MLIR or LLVM or similar compiler technologies</li><li>
Background with low precision inference, quantization, compression of DNNs</li><li>
Experience with GPU programming</li><li>
Experience with building DSLs or optimizing compilers (e.g. graph compiler or kernel generator) for GPUs or other accelerated computing platforms.</li><li>
Open source project ownership or contribution, healthy GitHub repositories, guiding and/or mentoring experience</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 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 December 19, 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, Deep Learning - MLIR TRT

<div>
 NVIDIA is seeking a Senior Materials Planner to join our outstanding Global Supply Chain Procurement team. In this role, you will be a driving force behind our materials readiness, ensuring the supply chain agility to bring NVIDIA's products to market. You will be a part of the team managing our contract manufacturing partners, focusing on data-driven strategies that optimize material flow and mitigate risk. This is a highly collaborative position that requires a strategic perspective, excellent analytical skills, and a passion for operational improvement.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
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 Drive the Clear-to-Build (CTB) process and other global materials management processes with our CMs
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 Identify and mitigate component-level risks to ensure uninterrupted production.
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 Leverage Generative and Agentic AI to improve your workflow processes and data analysis. Customize the visualization of data to achieve cross-functional alignment on materials strategy.
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 Implement data-driven inventory management strategies to balance flexibility with risk. Mitigate material liabilities, such as Excess &amp; Obsolete (E&amp;O) and Purchase Price Variance (PPV).
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 Collaborate with commodity management and engineering to identify alternate sources of supply, safety stock, demand offsets and other means to stabilize supply.
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 Conduct audits to ensure that CM is driving materials in alignment with our demand.
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 Contribute to CM performance reviews. Develop and measure Key Performance Indicators (KPIs) to measure CMs' performance.
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 Collaborate with internal stakeholders to drive operational efficiency and resolve material constraints.
 
 
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 What We Need To See
 
 
 
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 A Bachelor's degree in Supply Chain Management, Operations, or a related field (or equivalent experience).
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 8+ years' experience within the semiconductor industry
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 8+ years' experience working with global Contract Manufacturing partners.
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 Experience in data analytics and a strong ability to build compelling visual presentations using charts and metrics.
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 Proficiency in MS Excel (including advanced techniques) and working with ERP systems like SAP.
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 Be a regular user of AI tools like Gemini and OpenAI.
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 Experience with Product Data Management (PDM) systems like Agile or Windchill, with knowledge of Bill of Materials (BOM) structures.
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 Excellent communication and presentation skills, with the ability to influence cross-functional teams.
 
 
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 Ways To Stand Out From The Crowd
 
 
 
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 An MBA or Master's degree
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 Experience with data science and data tools like Tableau, PowerBI
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 Proficiency in Mandarin or Spanish
 
 
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 NVIDIA was names Glassdoor's Best Led company 2025. We have some of the most forward-thinking and passionate people in the world working for us, and our outstanding operations teams are growing rapidly. If you are a creative individual with a genuine passion for technology and teamwork, we encourage you to apply!
 
 
 Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD for Level 4, and 160,000 USD - 253,000 USD for Level 5.
 
 
 You will also be eligible for equity and benefits .
 
 
 Applications for this job will be accepted at least until November 18, 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.
 
 
 JR2006113
 
 
</div>

Senior Materials Planner

<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.
As part of this role, you will be working on a powerful private cloud system that supports various teams across NVIDIA. Imagine scaling cloud services to run on thousands of servers and handling millions of automated jobs every day, improving the efficiency of NVIDIA's software engineers worldwide. We collaborate with teams such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence, Autonomous Vehicles, and Omniverse!
What you&rsquo;ll be doing:<ul><li>
Craft creative scalable cloud solutions for running millions of jobs, thousands of systems, and petabytes of storage.</li><li>
Address exciting challenges in infrastructure such as Kubernetes, job scheduling, multi-region services, resource management, and automated recovery.</li><li>
Develop agentic workflows for infrastructure (e.g., self-healing pipelines, automated resource scaling).</li><li>
Collaborate with customers to understand their needs and develop innovative solutions that cater to their requirements.</li></ul>
What we need to see:<ul><li>
Proven experience in developing scalable cloud infrastructure solutions from concept to production.</li><li>
Background in AI/ML, Data Analytics, and their application in infrastructure.</li><li>
Strong background in object-oriented programming, with a preference for Java or Go.</li><li>
Ability to collaborate optimally across multiple teams and different time zones.</li><li>
Bachelor's degree or equivalent experience.</li><li>
10+ years of experience in infrastructure development.</li></ul>
Ways to stand out from the crowd:<ul><li>
Experience in crafting, implementing, and deploying major infrastructure features.</li><li>
Expertise in crafting and scaling microservices and deploying them on Kubernetes clusters.</li><li>
Built robust distributed systems for heterogeneous platforms.</li><li>
Experience working in infrastructure or on hardware systems</li></ul>
Come and work with us at NVIDIA where we have the most resourceful and dedicated people in the world to advance Artificial Intelligence. If you are passionate about infrastructure, we'd love to hear from you!</div>

Senior Cloud Infrastructure Developer

<div>Ready to drive transformation in AI models? At NVIDIA, our team focuses on improving community models like Nemotron, Llama, Gemma, DeepSeek, and Qwen. As a Product Manager for Open Models, you will work with groundbreaking technology to accelerate researchers' and developers' success. Join our team known for their dedication to collaboration and outstanding performance.
What you&rsquo;ll be doing:<ul><li>
Collaborating with community model builders to ensure seamless model support, early access collaboration, and go-to-market alignment.</li><li>
Tracking emerging trends in the open model space and assess technical differentiators and ecosystem impact of new releases.</li><li>
Supporting product marketing in crafting model-specific messaging and documentation - including blogs, whitepapers, case studies, and presentations, highlighting NVIDIA&rsquo;s optimizations and software tools.</li><li>
Collaborating closely with internal engineering, infrastructure, and developer experience teams to enable best-in-class support for open models across inference, fine-tuning, and evaluation.</li><li>
Facilitating feedback loops between our platform and model builders to continuously improve performance, usability, and compatibility.</li><li>
Work with executives to launch new products and support keynotes.</li></ul>
What we need to see:<ul><li>
7+ years of significant work experience in product management or technical partner management.</li><li>
BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus.</li><li>
Knowledge of the community model ecosystem, including Hugging Face, PyTorch, and inference frameworks like Ollama, SGLang, and vLLM.</li><li>
Comfortable reviewing Python code used in presentations, demos, and articles.</li><li>
Experience with creating marketing and social media.</li><li>
Excellent written and spoken communication skills, including Microsoft products and markdown skills, with the ability to translate between partner requirements and internal priorities.</li><li>
You love to thrive in a cross-functional organization, by collaborating with peers across teams and functions.</li><li>
Deep organizational skills, capable of balancing multiple projects at the same time.</li></ul>
Ways to stand out from the crowd:<ul><li>
Product manager experience at a company training frontier AI models.</li><li>
Hands-on experience with quantization, distillation, or low-rank adaptation techniques and running community models on NVIDIA GPUs.</li><li>
Hardworking and highly motivated with measurable results (metrics, awards, key accomplishments) you can share.</li><li>
A growing portfolio of blogs and social posts with links to your relevant work, including technical writing, social media presence, videos, and research papers.</li></ul>
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people in the world working for us and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, 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 168,000 USD - 258,750 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 December 19, 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>

Product Manager - Open Models

<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 diligent and analytical ODM Business Operations Manager to join NVIDIA&rsquo;s Data Center organization &mdash; the team constructing the world&rsquo;s AI factories. In this position, you will assist in developing how NVIDIA partners with the globe&rsquo;s top manufacturing collaborators to bring forth next-generation AI infrastructure. You&rsquo;ll be a member of a fast-paced, data-driven team that merges engineering, operations, and finance into one execution engine. We appreciate individuals who transform data into insight, insight into action, and action into measurable outcomes. In this role, you will collaborate with top ODMs and NVIDIA teams to build scalable processes, efficient operations, and data-driven insights for the AI supply chain.
 
 
 
 What You'll Be Doing
 
 
 
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 Lead business operations and analytics across NVIDIA&rsquo;s ODM ecosystem, enabling manufacturing scalability and operational rigor.
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 Develop and maintain data-driven operational models and dashboards to track capacity, yield, and shipment performance across partners.
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 Partner with Finance, Operations, WWFO, and Product teams to connect operational metrics with financial outcomes.
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 Implement governance frameworks, standardized important metrics, and regular reviews to develop accountability and transparency across global sites.
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 Collaborate with ODMs and internal teams to boost data accuracy, efficiency visibility, and process automation.
 
 
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 What We Need To See
 
 
 
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 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Business, or Finance or equivalent experience (MBA preferred).
 </li>
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 12+ years of experience in hardware operations, manufacturing analytics, or financial planning &mdash; ideally within data center, semiconductor, or hyperscaler environments.
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 Proven strength in data analysis, modeling, and visualization using tools including Tableau and Microsoft Office.
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 Proficient knowledge of ODM/OEM business structures, production processes, and logistics operations.
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 Outstanding communication and execution skills&mdash; you can transform data into clear insights and collaborate effectively across global teams for implementation.
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 A track record of excelling in fast-paced, cross-functional environments where accuracy, speed, and collaboration matter.
 
 
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 Ways To Stand Out From The Crowd
 
 
 
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 Demonstrated ability to build predictive modeling frameworks that link operational data with business outcomes.
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 Proven success driving process automation or analytics transformation within a complex manufacturing or supply-chain network.
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 Sound comprehension of supply chain management, optimizing manufacturing processes, and performing scenario analysis for substantial operations.
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 Experience collaborating across engineering, finance, and operations to solve high-impact business challenges.
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 Passion for translating data into strategy &mdash; turning operational insights into measurable results that advance NVIDIA&rsquo;s AI Factory mission.
 
 
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 </ul>
 With competitive salaries and generous benefits packages, we are widely considered to be one of the technology world&rsquo;s most desirable employers; we have some of the most thoughtful and dedicated people working for us and, due to unparalleled growth, our outstanding teams are rapidly growing. If you&rsquo;re creative and autonomous with a real passion for your work, then we want to you on our team!
 
 
 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.
 
 
 You will also be eligible for equity and benefits .
 
 
 Applications for this job will be accepted at least until October 27, 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.
 
 
 JR2006561
 
 
</div>

ODM Business Operations Manager

Join NVIDIA and explore 10   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.