Urwah Admin

NVIDIA

<div><div>Today, NVIDIA is owning the dawn of physical AI, bringing intelligence into the real world and redefining industries from manufacturing to robotics. Our accelerated computing platforms, open models, and simulation frameworks now power intelligent machines. These robots reason, act, and adapt in physical environments. They include humanoids in factories and autonomous systems everywhere. Achieving what has never been accomplished before&mdash;scaling physical AI from simulation to deployment&mdash;requires foresight, creativity, and top-tier talent from around the globe. At NVIDIA, you'll find yourself in a diverse, encouraging environment where everyone is motivated to perform at their highest level. Join us and help build the future of robotics&mdash;right at the intersection of simulation, foundation models, and real-world deployment.</div><div></div><div>
We are seeking a technical solutions engineer to join us, providing critical user support and enablement for NVIDIA's flagship open-source robot learning platform, Isaac Lab. Working closely with the engineering group at Isaac Lab, you will help accelerate adoption of this GPU-accelerated framework. It is built on Isaac Sim and increasingly coordinated with Newton physics and GR00T models. You will resolve user challenges, improve documentation, and enable researchers and developers worldwide to train advanced robot policies at scale.</div><div></div><div><b>
What you&rsquo;ll be doing:</b></div><ul><li><div>
Serve as a primary point of contact for Isaac Lab users, triaging and responding to GitHub issues, forum discussions, and partner inquiries with clear, actionable guidance based on existing documentation and examples.</div></li><li><div>
Reproduce, debug, and troubleshoot common user-reported problems in simulation setups, RL training workflows, environment configuration, and sim-to-real transfer using Isaac Lab.</div></li><li><div>
Contribute to and maintain user-facing resources, including updating installation guides, basic tutorials, FAQ entries, and example scripts to reduce support load and improve self-service.</div></li><li><div>
Collaborate with the Isaac Lab core team to escalate complex issues, gather user feedback on pain points, and help prioritize improvements to APIs, examples, and stability.</div></li><li><div>
Assist in testing new Isaac Lab releases (e.g., Newton integration branches, Isaac Lab-Arena workflows) from a user perspective and report findings.</div></li><li><div>
Engage with the global robotics research and industrial community through forums, specific engineering support, and occasional contribution of small fixes or clarifications to the open-source repository.</div></li></ul><div></div><div><b>
What we need to see:</b></div><ul><li><div>
BS or MS degree in Computer Science, Robotics, Electrical Engineering, or equivalent experience.</div></li><li><div>
5+ Years of experience in software development with Python and familiarity with deep learning frameworks (PyTorch preferred).</div></li><li><div>
Basic understanding of robotics simulation concepts, including rigid-body dynamics, sensors, actuation, and common workflows like reinforcement learning or imitation learning.</div></li><li><div>
Fluency with Linux tools and developer environments, including bash scripting, SSH, basic Docker usage (e.g., building/running containers, Docker Compose), and leading dependencies in virtual environments.</div></li><li><div>
Strong familiarity with Git and modern software development workflows (branching, pull requests, code reviews, resolving merge conflicts, and participating in public repository projects on GitHub).</div></li><li><div>
1+ years of hands-on experience with robotics tools, simulation environments, or open-source projects (internships, personal projects, or academic work count).</div></li></ul><div></div><div><b>
Ways to stand out from the crowd:</b></div><ul><li><div>
Prior exposure to NVIDIA Isaac ecosystem tools (Isaac Sim, Isaac Lab, Isaac Gym) or similar simulators (MuJoCo, PyBullet).</div></li><li><div>
Experience supporting users, maintaining documentation, or contributing to open-source robotics/simulation projects (GitHub activity welcome).</div></li><li><div>
Strong problem-solving skills demonstrated through debugging complex simulation or training pipelines.</div></li><li><div>
Enthusiasm for robotics and physical AI, with interest in humanoid locomotion, dexterous manipulation, or foundation models for robotics.</div></li></ul><div></div><div>
With attractive compensation and a full range of benefits, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our product lines are growing fast in some of the hottest fields such as virtual reality, deep learning, artificial intelligence, and more. Come join us at NVIDIA!</div><div></div>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.<div></div><div><div><div><div><div><div><div><div>
You will also be eligible for equity and <div>benefits</div>.</div></div></div></div></div></div></div></div><div></div>
Applications for this job will be accepted at least until April 5, 2026.<div></div><div>
This posting is for an existing vacancy.</div><div>
NVIDIA uses AI tools in its recruiting processes.</div><div></div>
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><div></div>

Software Engineer, Simulation - Robotics

<div><div>For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass personal computer games, movie production, product design, medical diagnosis and scientific research. Today, visual computing is becoming increasingly central to how people harmonize with technology, and there has never been a more exciting time to join our excellent team. NVIDIA is now passionate about innovation at the intersection of visual processing, high performance computing, and artificial intelligence.</div><div></div><div>
We are seeking a Senior Salesforce Business Analyst to drive digital transformation across our revenue operations landscape. This role will partner closely with business stakeholders across Sales, Finance, and Channel to design and deliver scalable solutions on the Salesforce platform. You will play a critical role in bridging business needs with technology&mdash;owning requirements, shaping solution design, and enabling end-to-end processes including Pricing, Rebates, and Marketing Development Funds (MDF).</div><div></div><div><b>
What you&rsquo;ll be doing:</b></div><ul><li><div>
Partner with business stakeholders to understand, challenge, and translate requirements into scalable Salesforce solutions</div></li><li><div>
Lead end-to-end requirements gathering, process mapping, and functional design</div></li><li><div>
Design and deliver solutions across Salesforce (Sales Cloud, Experience Cloud, or custom apps)</div></li><li><div>
Drive Marketing Development Fund (MDF) and Rebates processes, including claims, accruals, approvals, and payouts</div></li><li><div>
Collaborate with architects, developers, and admins to ensure clean, scalable system design</div></li><li><div>
Support UAT, training, and change management to ensure successful adoption</div></li><li><div>
Act as a trusted advisor to business teams, influencing process improvements and best practices</div></li><li><div>
Ensure alignment with broader Order-to-Cash (O2C) and revenue operations systems (e.g., ERP integrations)</div></li></ul><div></div><div><b>
What we need to see:</b></div><ul><li><div>
8 plus years of experience as a Salesforce Business Analyst or Functional Analyst</div></li><li><div>
Bachelors or Master's degree, or equivalent experience in Information Systems, Computer Science, or Business.</div></li><li><div>
Strong expertise in requirements gathering, stakeholder management, and solution design</div></li><li><div>
Hands-on experience with Salesforce configuration (objects, fields, flows, validation rules, reporting)</div></li><li><div>
Proven ability to translate business needs into clear functional specifications and user stories</div></li><li><div>
Experience working in cross-functional enterprise environments</div></li><li><div>
Strong understanding of Salesforce data model and platform capabilities</div></li><li><div>
Experience integrating Salesforce with ERP systems (e.g., SAP)</div></li><li><div>
Salesforce certifications (Admin, Advanced Admin, or Business Analyst)</div></li><li><div>
Experience in high-growth, fast-paced environments</div></li></ul><div></div><div><b>
Ways to stand out from the crowd:</b></div><ul><li><div>
Hands-on experience with Marketing Development Funds (MDF) and Channel /Customer Rebates programs: Claims processing, approvals, fund allocation, and tracking; Integration with finance systems for accruals and payouts</div></li><li><div>
Experience with indirect channel programs, partner portals, or Experience Cloud</div></li><li><div>
Familiarity with pricing, promotions, and incentive management processes</div></li></ul><div></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 in the world working for us. If you're creative and autonomous, we want to hear from you!</div><div></div>
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.<div></div><div><div><div><div><div><div><div><div>
You will also be eligible for equity and <div>benefits</div>.</div></div></div></div></div></div></div></div><div></div>
Applications for this job will be accepted at least until April 6, 2026.<div></div><div>
This posting is for an existing vacancy.</div><div>
NVIDIA uses AI tools in its recruiting processes.</div><div></div>
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><div></div>

Senior Business Systems Analyst, Salesforce

<div><div>NVIDIA is redefining the future of computing! From accelerated AI to large scale infrastructure, the security of our platforms and data is critical to everything we build. On the Security Platform Engineering team, we focus on building the data foundations that power detection, automation, and AI driven security operations across the company.</div><div></div><div>
How does raw security telemetry become usable intelligence? We build the platform that makes it possible. This role helps design and operate the security data platform that transforms signals from endpoint, identity, network, and cloud environments into standardized, high quality datasets. These datasets power the work of security engineers and researchers across NVIDIA. The role sits at the intersection of security engineering, data engineering, and platform architecture, enabling advanced detection, automation, and analytics across the company!</div><div></div><div><b>
What you&rsquo;ll be doing:</b></div><div>
This role focuses on building and operating the data platform that powers security operations across NVIDIA.</div><ul><li><div>
Design and operate telemetry ingestion pipelines that collect and process data from endpoint, identity, network, cloud, and other enterprise security sources.</div></li><li><div>
Normalize and enrich telemetry into structured datasets using standardized schemas and entity models so signals from different systems can be correlated consistently.</div></li><li><div>
Build and maintain data models and graph ready structures that connect users, devices, identities, and activity across the security ecosystem.</div></li><li><div>
Provide governed access to security datasets through APIs, query interfaces, and streaming pipelines used by Detection, Automation, AI, and Analytics teams.</div></li><li><div>
Define lifecycle and retention strategies across hot, cold, and archive storage tiers to balance performance, scalability, and cost.</div></li><li><div>
Work closely with enterprise data engineering and security engineering teams to align on architecture, data fabric strategy, and shared platform capabilities.</div></li><li><div>
Maintain clear documentation of data sources, schemas, and entity definitions so teams across NVIDIA can reliably build on the platform.</div></li></ul><div></div><div><b>
What we need to see:</b></div><ul><li><div>
Bachelor&rsquo;s degree in Computer Science, Engineering, Cybersecurity, Data Engineering, or a related technical field, or equivalent experience.</div></li><li><div>
5+ years of experience designing and operating large scale data pipelines in a security or enterprise data environment.</div></li><li><div>
Strong understanding of security telemetry including endpoint, identity, network, cloud, and email data sources.</div></li><li><div>
Experience working with modern data platforms and ingestion technologies such as Databricks, Snowflake, Kafka, Spark, Flink, or similar systems.</div></li><li><div>
Hands on experience with data normalization frameworks or standards such as OCSF, ECS, or equivalent approaches.</div></li><li><div>
Understanding of data access patterns including APIs, query layers, views, and role based access control.</div></li><li><div>
Ability to collaborate across teams and clearly document complex data systems for a broad technical audience.</div></li></ul><div></div><div><b>
Ways to stand out from the crowd:</b></div><ul><li><div>
Experience working with security platforms such as CrowdStrike NG SIEM, Splunk, or Microsoft Sentinel.</div></li><li><div>
Familiarity with SIEM data models, detection engineering workflows, and SOAR integrations.</div></li><li><div>
Experience with graph databases or entity relationship modeling for security data.</div></li></ul><div></div><div>
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 <div>www.nvidiabenefits.com/</div></div><div></div>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4.<div></div><div><div><div><div><div><div><div><div>
You will also be eligible for equity and <div>benefits</div>.</div></div></div></div></div></div></div></div><div></div>
Applications for this job will be accepted at least until April 6, 2026.<div></div><div>
This posting is for an existing vacancy.</div><div>
NVIDIA uses AI tools in its recruiting processes.</div><div></div>
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><div></div>

Security Data Engineer

<div><div>We are looking for an experienced and collaborative Developer Relations Manager to help accelerate adoption of NVIDIA&rsquo;s AI and computing platforms across global developer ecosystems. Engage with software developers, cloud providers, and tech collaborators to develop innovative solutions. Ideal candidates possess solid technical skills alongside proven expertise in go-to-market strategy, encouraging others to support developers and highlighting how NVIDIA technology can address large-scale challenges effectively.</div><div></div><div><b>
What You'll Be Doing:</b></div><ul><li><div>
Assist and advocate for developers at a major Cloud Service Provider, encouraging the use of NVIDIA platforms.</div></li><li><div>
Accelerate key workloads by demonstrating innovative solutions that integrate the NVIDIA stack into developer tools, products, and workflows.</div></li><li><div>
Design and recommend technical enablement resources&mdash;such as sample code, demos, guides, and pipelines&mdash;that make NVIDIA technologies more accessible and practical for real-world use.</div></li><li><div>
Support partners and startups through onboarding, integration, and co-innovation within NVIDIA programs, helping them deliver breakthrough applications.</div></li><li><div>
Track and map developer ecosystems to uncover growth opportunities, influence technology strategies, and guide product adoption.</div></li><li><div>
Partner with engineering, product management, marketing, and solution architects to build developer engagement programs and optimize go-to-market approaches.</div></li><li><div>
Collaborate with partner technical leaders and decision-makers to align on goals, resolve challenges, and champion guidelines for reliable integrations.</div></li><li><div>
Represent the voice of partners by providing practical feedback and insights to NVIDIA product and engineering teams, crafting roadmaps with real-world use cases.</div></li></ul><div></div><div><b>
What We Need to See:</b></div><ul><li><div>
Bachelor&rsquo;s, Master&rsquo;s degree or PhD. in Computer Science, Engineering, or related field, or equivalent experience.</div></li><li><div>
12+ yrs overall experience with 5+ yrs experience collaborating with cloud service providers and multinational companies.</div></li><li><div>
Demonstrated achievement in guiding and growing developer initiatives at technology firms, major cloud services, ISVs, or specific vertical markets.</div></li><li><div>
Strong technical background in high-performance computing, AI/ML, cloud, and/or industry-specific frameworks and libraries.</div></li><li><div>
Excellent interpersonal skills with an ability to adapt sophisticated technical ideas for diverse audiences&mdash;from engineers to executives.</div></li><li><div>
Experience guiding technical collaborations with engineering and product teams, including architectural reviews, mentorship, and delivering workshops or technical talks.</div></li><li><div>
Proven track record to lead large-scale technical projects, balance priorities, negotiate requirements, and collaborate effectively across sales, product, legal, and marketing teams.</div></li></ul><div></div><div><b>
Ways to Stand Out from the Crowd:</b></div><ul><li><div>
Direct experience developing or optimizing vertical-specific solutions (e.g., data pipelines, network stacks, real-time bidding systems).</div></li><li><div>
Familiarity with GPU acceleration and sophisticated AI platforms (CUDA, Triton, NeMo, DOCA, etc.).</div></li><li><div>
A track record of building systems for real-time processing and low-latency decision-making.</div></li><li><div>
Recognized success in growing and scaling developer communities, with measurable impact through technical enablement programs.</div></li></ul><div></div><div>
With competitive salaries and a generous benefits package, we are widely considered to be one of the 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 outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.</div><div></div>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.<div></div><div><div><div><div><div><div><div><div>
You will also be eligible for equity and <div>benefits</div>.</div></div></div></div></div></div></div></div><div></div>
Applications for this job will be accepted at least until April 6, 2026.<div></div><div>
This posting is for an existing vacancy.</div><div>
NVIDIA uses AI tools in its recruiting processes.</div><div></div>
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></div>
#deeplearning</div>

Developer Relations Manager, Cloud Service Provider

<div><div>We are seeking an AI Engineer to design and build intelligent systems that transform how we do customer support. Our organization processes large amounts of data from various sources, such as customers, end users, and web and social media platforms. This role focuses on using Generative AI, large language models (LLMs), and RAG-based systems to transform fragmented data into actionable insights. It also automates reporting and allows teams to engage with data in completely new ways.</div><div></div><div>
One project within this role includes modernizing our localization workflows using AI, but the main focus is developing scalable tools that boost efficiency, increase visibility, and support decision-making across the organization.</div><div></div><div><b>
What You&rsquo;ll Be Doing:</b></div><ul><li><div>
Build and develop AI-powered tools that improve workflow efficiency, data analysis, and decision-making across customer support</div></li><li><div>
Build systems that ingest and unify data from multiple sources (internal databases, forums, social media, internal tools)</div></li><li><div>
Develop LLM- and RAG-based solutions that allow users to query systems in natural language and retrieve detailed, contextual insights</div></li><li><div>
Build automated reporting and metrics generation tools tailored to different collaborators (engineering, QA, program management, customers, support teams)</div></li><li><div>
Enable personalized, role-based data access&mdash;allowing individuals and teams to easily retrieve the information most relevant to them</div></li><li><div>
Identify patterns, trends, and root causes from internal systems using advanced analytical methods</div></li><li><div>
Lead the development of AI-assisted localization pipelines to improve translation speed and scalability and targeted human translation</div></li><li><div>
Research, evaluate, and implement emerging AI technologies to continuously improve internal systems</div></li><li><div>
Provide technical leadership and guidelines for AI-based system build and deployment</div></li></ul><div></div><div><b>
What We Need to See:</b></div><ul><li><div>
BS or MS in Computer Science, Artificial Intelligence, or equivalent experience</div></li><li><div>
8+ years of experience in Machine Learning, Natural Language Processing, or related AI domains</div></li><li><div>
Deep understanding of large language models (LLMs) and strong experience crafting and implementing RAG-based workflows</div></li><li><div>
Strong programming skills with extensive experience in Python</div></li><li><div>
Experience building production-grade AI systems, APIs, or data pipelines</div></li><li><div>
Experience working with large, complex datasets and building analytical or reporting systems</div></li><li><div>
Strong problem-solving skills, performance analysis experience, and debugging expertise</div></li><li><div>
Solid foundation in algorithms and mathematical principles</div></li><li><div>
Experience with source control tools such as Git or Perforce</div></li><li><div>
Ability to work independently and collaboratively across teams</div></li></ul><div></div><div><b>
Ways to Stand Out from the Crowd:</b></div><ul><li><div>
Experience building analytics platforms or internal tools for data exploration using advanced technologies</div></li><li><div>
Experience applying AI to customer support, bug tracking, or large-scale feedback systems</div></li><li><div>
Familiarity with knowledge retrieval systems, embeddings, and semantic search</div></li><li><div>
Experience with real-time or near-real-time data processing pipelines</div></li><li><div>
Background in localization, translation systems, or multilingual AI workflows</div></li></ul><div></div>
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 200,000 USD - 322,000 USD for Level 5.<div></div><div><div><div><div><div><div><div><div>
You will also be eligible for equity and <div>benefits</div>.</div></div></div></div></div></div></div></div><div></div>
Applications for this job will be accepted at least until April 4, 2026.<div></div><div>
This posting is for an existing vacancy.</div><div>
NVIDIA uses AI tools in its recruiting processes.</div><div></div>
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><div></div>

AI Software Engineer

<div><div>NVIDIA is leading the way in groundbreaking 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. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.</div><div></div><div>
Join our team of innovative engineers who develop and maintain software facilitating GPU communication, driving groundbreaking solutions in High Performance Computing and Deep Learning. We are seeking a highly motivated EngOps Engineer (5+ years of experience) to join our advanced infrastructure software team. In this role, you will be responsible for maintaining high-performance, rack-scale management solutions for datacenter environments. You will work directly with our Infrastructure Service software development team to support deployment and debug of our hardware and Infrastructure Manager.</div><div></div><div><b>
What you&rsquo;ll be doing:</b></div><ul><li><div>
Take ownership of daily cluster failures and issues, troubleshooting them promptly to maintain optimal cluster availability and performance.</div></li><li><div>
Manage updates to the site controller management nodes.</div></li><li><div>
Manage the rollout and rollback of cluster software and firmware updates, ensuring smooth transitions and minimal disruptions.</div></li></ul><div></div><div><b>
What we need to see:</b></div><ul><li><div>
BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.</div></li><li><div>
5+ years of hands-on experience in deploying and administrating clusters, servers, switches, and related infrastructure.</div></li><li><div>
Experience with deployment and configuration of operating systems, computer networks, and high-performance applications.</div></li><li><div>
Proven ability to work effectively with developers and test engineers across different teams and time zones.</div></li><li><div>
Experience deploying services in Kubernetes.</div></li><li><div>
Datacenter or computer architecture experience is required&mdash;you should understand server, rack, and network topologies, as well as hardware/firmware/software interactions.</div></li><li><div>
Background with hardware management protocols (Redfish, IPMI, BMC) and firmware update automation.</div></li><li><div>
Experience configuring and debugging complex data center networks.</div></li><li><div>
Experience developing scripts to automate recovery actions for management controllers and datacenter systems.</div></li></ul><div></div><div><b>
Ways to stand out from the crowd:</b></div><ul><li><div>
Direct experience with industry standard alerting tools and emergency response practices. Experience with observability tools such as Grafana.</div></li><li><div>
Hands-on experience with GPU-focused hardware and software, such as DGX systems and Compute Clusters.</div></li><li><div>
Proficiency in designing large scale networking technologies and the associated challenges. Experience with OpenStack and Foreman</div></li></ul><div></div><div>
NVIDIA is often recognized as one of the technology industry's most esteemed employers. We have some of the brightest and most driven individuals in the world working with us. If you are a self-motivated and imaginative individual, we encourage you to apply!</div><div></div>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.<div></div><div><div><div><div><div><div><div><div>
You will also be eligible for equity and <div>benefits</div>.</div></div></div></div></div></div></div></div><div></div>
Applications for this job will be accepted at least until April 3, 2026.<div></div><div>
This posting is for an existing vacancy.</div><div>
NVIDIA uses AI tools in its recruiting processes.</div><div></div>
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><div></div>

Senior Systems Software Engineer, Data Center Infrastructure Management - EngOps

<div><div>NVIDIA seeks a Developer Relations Manager to lead our work in architecting impactful usage and adoption of our core CUDA Math Libraries. We are interested in finding a leader in high performance numerical computing to define and guide strategic relationship building for NVIDIA's core math library products that can further enable significant adoption, namely for mixed precision usage and tooling. NVIDIA's core CUDA math libraries are the foundation of<div> NVIDIA CUDA-X</div> libraries. This position will require leading at the intersection of Engineering, Product, and our customers to advocate, strategize, and lead the enablement of mixed precision efforts across our core CUDA math libraries.</div><div></div><div>
We&rsquo;re looking for hard-working and passionate technologists with high performance for numerical computing domain expertise to engage the community. In this role you will lead defining strategic partnerships, leading collaborations, driving software adoption, and evangelizing the NVIDIA platform for core CUDA math libraries with developers and customers. The Math Libraries organization is a strong, growing, and visible group in this exciting area, driving strategy and meaningful adoption for our customers. Do you have the rare blend of both technical and relationship skills? Are you passionate about groundbreaking technology? If so, we would love to learn more about you!</div><div></div><div><b>
What you'll be doing:</b></div><ul><li><div>
Develop developer and ISV strategy with cross-functional teams in Product and Engineering.</div></li><li><div>
Lead strategic relationships with key opinion leaders, leading ISVs, and influential researchers.</div></li><li><div>
Evangelize and directly engage target applications, academic, and ISV collaborators.</div></li><li><div>
Drive early adoption of new products and support launch and go-to-market activities.</div></li></ul><div></div><div><b>
What We Need To See:</b></div><ul><li><div>
BS/MS/PhD in Mathematics, Computer Science or Engineering or equivalent experience</div></li><li><div>
8+ Years of experience in a major technology company, managing ISVs and partnerships and or delivering Software and SDKs</div></li><li><div>
Experience managing technical and business alliances across multiple partner groups and peer team(s)</div></li><li><div>
Proven understanding of high performance numerical computing on CPUs and GPUs, high performance technologies and ecosystem</div></li><li><div>
World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences</div></li></ul><div></div><div><b>
Ways To Stand Out From The Crowd</b></div><ul><li><div>
Experience with NVIDIA products and SDKs (HPC SDK, CUDA Toolkit, cuBLAS)</div></li><li><div>
Hands-on experience in high-performance computing environments, applied machine learning, or deep learning</div></li><li><div>
Experience with mixed-precision and reduced-precision methods and numerical properties</div></li><li><div>
Knowledge of floating-point emulation techniques for scalar and matrix calculations</div></li></ul><div></div><div>
NVIDIA is widely considered to be one of the technology world&rsquo;s most desirable employers. We have some of the most intelligent and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!</div><div></div>
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.<div></div><div><div><div><div><div><div><div><div>
You will also be eligible for equity and <div>benefits</div>.</div></div></div></div></div></div></div></div><div></div>
Applications for this job will be accepted at least until April 3, 2026.<div></div><div>
This posting is for an existing vacancy.</div><div>
NVIDIA uses AI tools in its recruiting processes.</div><div></div>
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><div></div>

Developer Relations Manager, Core CUDA Math Libraries

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