Urwah Admin

NVIDIA

<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. Our GPUs act 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.
We are seeking a highly motivated and experienced Senior Business Systems Analyst - SAP Master Data Management with focus on Operations within the Enterprise Data Management Team. This role requires a deep functional understanding of Materials Management (MM) and Production Planning (PP), specifically tailored to the complexities of the semiconductor industry. Your expertise will help address complex supply chain challenges, strengthen data governance and observability, and enable trusted, high-quality data across the supply chain.
What you&rsquo;ll be doing:<ul><li>
Lead solutions &amp; functional design for PP/MM master data domains: Material Master, BOM, Routing, Work Centers, Production Versions, ECN/Engineering Change data.</li><li>
Serve as the strategic link between business processes and technical data architecture.</li><li>
You will be responsible for the integrity, governance, and optimization of critical supply chain and production data objects.</li><li>
Product Lifecycle Management (PLM) Integration- Collaborate with engineering, manufacturing, and supply chain teams to streamline New Product Introduction (NPI), Mass Production (MP), Product Data Management (PDM), and change-control processes from PLM to SAP ERP</li><li>
Provide senior-level production support and drive enhancements, including incident management, root-cause analysis, and functional specifications, and testing of enhancements (including user exits, BAdIs, workflows).</li><li>
Partner with business teams to define data taxonomy, catalog, lineage, and data quality KPIs across operations, engineering, planning, and finance, while driving MDM/DQM initiatives using tools such as SAP MDG, or Informatica to ensure consistent enterprise-wide data governance.</li><li>
Collaborate with business, IT, and architecture teams to translate complex operations and supply chain requirements into scalable, automated, and AI-enabled data and process solutions.</li><li>
Influence C-level, VP level executives, business owners and IT partners to align on process transformation, data governance and data strategy to support company growth.</li></ul>
What we need to see:<ul><li>
Bachelor's or Master's in computer science, information systems, supply chain/industrial engineering, or a related field, or equivalent experience.
</li><li>8+ years of SAP experience with strong focus on Production Planning, Manufacturing, and Materials Management, including at least one SAP S/4HANA implementation in MM/PP.</li><li>
Deep functional understanding of and hands-on experience with PP/MM master data (Materials, BOMs, Routings, Work Centers, Production Versions, ECNs etc.)</li><li>
Proven experience on PLM integration with SAP (e.g., PTC Windchill or similar)</li><li>
Solid background in enterprise data governance and MDM/DQM in operations or manufacturing domains, including use of tools such as SAP MDG, Informatica, or Collibra.</li><li>
Demonstrated experience in SAP production support and enhancements: incident/problem management, root-cause analysis, functional design, testing and release management.</li><li>
Familiarity with SAP custom enhancements (user exits, BAdIs, workflows) and ability to work closely with ABAP/technical teams to deliver solutions.</li><li>
Experienced with controlled firefighter/emergency access in SAP production, including relevant controls, compliance, and audit requirements.</li><li>
Excellent communication and influencing skills; ability to work effectively with executives, business process owners, architects, developers, and global operations teams.</li><li>
Familiarity with AI-enabled productivity and data platforms such as ChatGPT, Copilot, Gemini, or Claude to improve automation, data quality, and decision-making</li></ul>
NVIDIA is widely considered to be one of the technological 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, result-oriented, 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 168,000 USD - 264,500 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 July 14, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div>

Senior Business Systems Analyst - SAP Master Data Management

<div>We are looking for a Senior Product Marketing Manager to join the NVIDIA DSX Platform team.. This role is for a strong technical marketer who understands AI infrastructure and can turn complex platform capabilities into clear positioning, compelling narratives, and high-quality go-to-market execution. As part of NVIDIA DSX, DSX OS spans the IaaS and PaaS layers, providing the building blocks for provisioning, GPU health, multi-tenancy, and observability. DSX OS is a portfolio of open-source, modular, composable infrastructure software that helps cloud partners and infrastructure ISVs build, scale, and operate AI factories faster. The portfolio spans IaaS and PaaS layers, with building blocks for provisioning, lifecycle management, GPU health, observability, resiliency, and multi-tenant operations.
DSX OS is crafted to strengthen partner platforms, not replace them. In this role, you will lead product marketing for key DSX OS initiatives across infrastructure software, ecosystem enablement, and partner adoption. You will define positioning and messaging, develop launch plans, compose technical and business narratives, and build high-impact assets for NVIDIA Cloud Partners (NCPs), cloud service providers (CSPs), infrastructure ISVs, and internal field teams. You will work closely with product management, engineering, developer relations, business development, PR, analyst relations, campaigns, and sales to bring recently developed infrastructure solutions and ecosystem stories to market. This is a highly cross-functional role that requires both strategic judgment and hands-on execution. The right candidate can go deep on architecture, understand operator struggles, and translate platform capabilities into clear customer value.
What You&rsquo;ll Be Doing:<ul><li>
Orchestrate the positioning and narrative for DSX OS components, building value propositions that connect with both technical operators and business leaders.</li><li>
We will work together to launch new infrastructure software, where you will guide the go-to-market execution and ensure our messaging is consistent across blogs, web content, and partner materials.</li><li>
Cultivate deep collaborations with NVIDIA Cloud Partners (NCPs), CSPs, and infrastructure solution providers. Develop joint stories that highlight how we accelerate time to deployment and operational maturity.</li><li>
By translating sophisticated GPU clusters and Kubernetes architectures into clear business value, your work will serve as the essential bridge between our engineering breakthroughs and the broader AI ecosystem.</li></ul>
What We Need To See:<ul><li>
8+ years of experience in B2B product marketing, technical marketing, or related roles within cloud/AI infrastructure or platform software.</li><li>
Bachelor&rsquo;s degree in a technical or business field, or equivalent experience.</li><li>
Technical Curiosity: A strong understanding of areas like Kubernetes, GPU clusters, inference platforms, or distributed systems.</li><li>
Strategic Execution: A proven ability to shape GTM plans and positioning for highly technical platforms.</li><li>
Communication: Outstanding writing and storytelling skills, capable of bringing together cross-functional collaborators and executives.</li><li>
Adaptability: The ability to work proactively, navigate evolving projects, and thrive in a highly collaborative setting.</li></ul>
Ways To Stand Out from the Crowd:<ul><li>
Specialized Insight: Deep familiarity with &quot;AI Factory&quot; infrastructure or cloud-native AI platforms.</li><li>
Ecosystem Focus: Experience marketing software specifically for service providers or platform operators.</li><li>
Community Approach: Understanding of open-source models and ecosystem-led growth.</li><li>
Learning Orientation: An MBA or an equivalent blend of business and technical growth.</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 152,000 USD - 230,000 USD for Level 4, and 184,000 USD - 287,500 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 July 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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 Product Marketing Manager, DSX OS

<div>The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure. We are building the next-generation data and storage infrastructure to solve some of the hardest problems in AI: storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to build, train, deploy, and operate AI products at scale without reinventing critical data infrastructure for every workload.
What you will be doing:<ul><li>
Build storage technologies, client libraries, and filesystem frameworks that help AI workloads access data across object stores, file systems, and hybrid cloud infrastructure.</li><li>
Develop high-performance storage paths for training and inference workflows, including data loading, checkpointing, caching, POSIX-style access, and object-store integration.</li><li>
Build observability systems that diagnose storage bottlenecks, attribute GPU idle time to I/O behavior, and expose actionable telemetry through production monitoring stacks.</li><li>
Improve performance, scalability, and reliability of storage systems serving massive datasets, deep directory trees, and high-concurrency AI workloads.</li><li>
Work closely with internal AI teams, platform teams, SRE, and operations to validate storage behavior against real workloads and production environments.</li><li>
Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, performance, and verification.</li></ul>
What we need to see:<ul><li>
BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience, with 5+ years of software engineering experience.</li><li>
Strong foundation in algorithms, data structures, distributed systems, operating systems, and practical software design.</li><li>
Experience building performance-sensitive systems, storage, backend, or cloud-native software in languages such as Go, Python, Rust, C/C++, or Java.</li><li>
Experience with storage systems, object stores, caching, Linux systems, Kubernetes, or cloud infrastructure.</li><li>
Ability to reason about performance, scalability, concurrency, reliability, and operational tradeoffs in production systems.</li><li>
Ability to design APIs, document systems, communicate clearly, and break ambiguous infrastructure problems into practical execution plans.</li><li>
Curiosity and practical judgment around AI-assisted or agentic engineering workflows, including using clear intent, specifications, acceptance criteria, tests, and verification to guide development.</li></ul>
Ways to stand out from the crowd:<ul><li>
Background with Linux kernel observability, eBPF, tracing, or low-overhead telemetry systems.</li><li>
Experience with FUSE, POSIX filesystems, object-store-backed filesystems, or filesystem metadata/indexing.</li><li>
Experience optimizing storage performance for AI training, checkpointing, inference, or large-scale data pipelines.</li></ul>
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention, the GPU, 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 seeking exceptional individuals like you to help us drive the next wave of artificial intelligence.
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>
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 July 10, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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 Storage Software Engineer, DGXC Data Services

<div>Site Reliability Operations (SRO) is NVIDIA IT's global enterprise support organization, serving as the first point of contact for enterprise IT services while engineering streamlined, scalable solutions that improve the employee experience. Rather than simply resolving tickets, SRO drives operational excellence by consolidating support functions, automating repetitive work, and returning engineering capacity while improving operational reliability across our global 24x5 support model spanning the Americas, EMEA, APAC, India, and Israel. This role uniquely combines enterprise site support with ownership of video conferencing and collaboration technologies, requiring expertise across both disciplines to deliver a seamless workplace technology experience. Working closely with Site Reliability Engineering (SRE), Unified Communications Engineering (UCE), Facilities, and other global IT teams, you'll help ensure NVIDIA employees and executives have reliable technology and exceptional collaboration experiences every day.
What You'll Be Doing
This role is responsible for delivering both enterprise site support and video conferencing operations. The work spans hands-on technical support, collaboration technology ownership, and continuous operational improvement, partnering with global engineering teams to enhance service reliability, automate repetitive work, and deliver an exceptional employee experience.<ul><li>
Serve as the primary on-site IT point of contact for Site Reliability Operations (SRO), providing break/fix support, new hire onboarding, hardware provisioning, and desk-side support.</li><li>
Resolve hardware, software, access, and peripheral incidents and service requests while meeting established service level objectives and operational response targets.</li><li>
Triage, investigate, and resolve complex technical issues, partnering with Site Reliability Engineering (SRE) teams to perform root cause analysis and address operational challenges impacting service efficiency.</li><li>
Identify recurring incident trends and implement automation, self-service capabilities, and process improvements that reduce support volume and improve the employee experience.</li><li>
Maintain operational readiness of local IT infrastructure, including network equipment rooms (NER/IDF), IT vending machines (ITVM), local lab environments, and other site technology assets.</li><li>
Support office build-outs, site expansions, lifecycle management (LCM) initiatives, and participate in after-hours and weekend support for critical incidents as required.</li><li>
Lead the operational health of enterprise video conferencing and audiovisual (AV) systems across assigned sites, including Cisco and Poly collaboration endpoints.</li><li>
Install, configure, maintain, and troubleshoot collaboration hardware including codecs, touch panels, cameras, microphones, speakers, amplifiers, digital signal processors (DSPs), displays, and AV control processors.</li><li>
Ensure conference rooms meet NVIDIA collaboration standards by validating audio and video quality, verifying cabling and signal integrity, and proactively maintaining room readiness.</li><li>
Provide real-time AV and video conferencing support for executive meetings, live events, all-hands meetings, and other high-visibility presentations.</li><li>
Partner with Unified Communications Engineering (UCE) on firmware upgrades, platform migrations, and new room deployments.</li><li>
Maintain accurate collaboration asset inventory and lifecycle information in Nautobot, including device status, serial numbers, firmware versions, and lifecycle data.</li><li>
Troubleshoot interoperability across Microsoft Teams, Zoom, Webex, Pexip CVI, SIP, and H.323 platforms to deliver seamless cross-platform meeting experiences.</li></ul>
What We Need to See
We're looking for a customer-focused IT professional with experience across enterprise endpoint support and collaboration technologies. The ideal candidate is comfortable working independently at a site while partnering with globally distributed engineering teams to solve complex technical challenges and continuously improve operational excellence.<ul><li>
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.</li><li>
3&ndash;5 years of experience in IT operations, site support, enterprise endpoint support, audiovisual technologies, or a related technical support role.</li><li>
Hands-on experience supporting enterprise video conferencing platforms, including Microsoft Teams Rooms, Zoom Rooms, and/or Cisco Webex Room systems.</li><li>
Familiarity with AV signal flow, including HDMI, USB, network-based audio/video, DSP configuration, and display technologies.</li><li>
Strong troubleshooting and engineering skills across Windows, macOS, and Linux environments.</li><li>
Experience working with enterprise IT service management (ITSM) platforms, preferably ServiceNow.</li><li>
Ability to work independently while collaborating effectively with globally distributed teams.</li><li>
Excellent communication and interpersonal skills, including experience supporting executives, managing vendor relationships, and documenting technical procedures.</li></ul>
Ways to Stand Out from the Crowd<ul><li>
Experience with enterprise AV monitoring and management platforms such as Vyopta, Crestron XiO Cloud, or Q-SYS.</li><li>
Understanding of networking fundamentals, including VLANs, Power over Ethernet (PoE), and Quality of Service (QoS) for real-time media.</li><li>
CTS (Certified Technology Specialist) or other relevant AV or collaboration certifications.</li><li>
Experience using Python, PowerShell, or Bash to automate operational workflows and improve operational efficiency.</li><li>
Experience supporting large-scale live events or broadcast-quality AV environments.</li><li>
Experience working within Site Reliability Engineering (SRE) or Site Reliability Operations (SRO) organizations with exposure to shift-left methodologies, self-service, and automation practices.</li></ul></div>

IT Support 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.
Do you enjoy hacking and tinkering at the lowest levels of software? Are you capable of leading a team of engineers designing clever firmware solutions while in heavily resource-constrained environments? Do you have a history of successfully completing projects on time with aggressive schedules? If so, you&rsquo;re primed to lead a team to develop the boot software that powers the world&rsquo;s best GPUs. We are searching for a top-notch system software manager to fill a challenging, yet fun role on our GPU Firmware team. You will be joining a team whose primary mission is solving the intricate enigma of securing and innovating the boot process for our GPUs, while dealing with the formidable constraints of boot-time and storage space. Every. Byte. Counts. This is your chance to create waves in the industry while directly working with and alongside some of the most top-valued diverse minds in the graphics software and GPU business. Your goal will be to shape the future of graphics technologies doing exactly what you enjoy: solving puzzles. If this sounds interesting and you&rsquo;re up for the task, we&rsquo;d certainly like to hear from you!
What you&rsquo;ll be doing:<ul><li>
You&rsquo;ll lead a team to develop, debug, and maintain GPU firmware throughout the NVIDIA GPU lifecycle</li><li>
Drive execution of GPU firmware for multiple consumer product lines with aggressive schedules</li><li>
Define firmware feature roadmaps to align with hardware and industry specification advancements</li><li>
Provide direction for design and implementation of creative solutions for boot software</li><li>
Collaborate with hardware, software, and business teams to transform new firmware features from idea to reality</li><li>
Work with leading OS and PC vendors to improve/innovate the startup experience</li><li>
Improve team software process and core infrastructure via projects dealing with build systems and regression farms</li><li>
Continuously evaluate and improve security for firmware that functions as a root of trust</li></ul>
What we need to see:<ul><li>
12+ overall years of experience in the software industry</li><li>
BS or MS degree in EE/CS/CE or equivalent experience</li><li>
6+ years&rsquo; experience in leading teams developing device BIOS, firmware, or other low-level software</li><li>
Strong C skills</li><li>
Even stronger communication skills</li><li>
Sense of humor stronger than your C skills encouraged, but not required</li><li>
Deep understanding of software process</li><li>
Easy to work with, as you&rsquo;ll constantly work closely with both hardware designers and other software engineers and managers to design, develop, and debug functional (and non-functional!) aspects of GPU subsystems</li></ul>
Ways to stand out from the crowd:<ul><li>
Examples of customer facing system software features that you drove to completion</li><li>
Knowledge of the PC architecture including PCI/PCIe as well as display technologies like DP and HDMI</li><li>
Experience developing for UEFI environments</li><li>
Experience in working on datacenter software</li><li>
Passion for your work</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 272,000 USD - 431,250 USD for Level 4, and 320,000 USD - 488,750 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 July 4, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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 Manager, GPU Firmware

<div>We are seeking a highly motivated Senior HPC Support Engineer &ndash; Ethernet / AI Infrastructure to be engaging with one of our prestige customers onsite and remote, passionate about data center and networking technologies, to provide comprehensive solutions for sophisticated installations, maintenance, or operations for a broad scope of groundbreaking networking products. 
You will act as the primary point of contact for this customer. You will spend a minimum of one week per month at the customer site in College Station, TX, US, supporting technical questions, debugging, and issue resolution. As a member of our NVEX Global Technical Support team, you are a conscientious, proficient communicator who is fundamentally interested in taking ownership in resolving issues, while ensuring that a high level of customer satisfaction is maintained and delivered. Significant part of the role is also to collaborate with Engineering, Marketing, and Support teams regularly on technical issues. 
What you will be doing:<ul><li>
Ability to resolve sophisticated customer concerns and technical issues through meticulous research, reproductions, and solving problems for customers installing our products and supporting systems using Linux Operating Systems (multi-distro), with the focus on NVIDIA Ethernet Switching technologies and our End-to-End Solutions such as NVIDIA Spectrum-X.</li><li>
Responding to customer product support inquiries via telephone, email or conference calls</li><li>
Resolving customer issues during installation, operation, maintenance or product application or interoperability with other vendors</li><li>
Participate in multi-functional team meetings and giving feedback to engineering and marketing regarding product requirements, customer experience, support tools, etc.</li><li>
As a technical resource develop, re-define and document standard methodologies to provide to internal teams(Support/R&amp;D) for support process and improvements</li></ul> 
What we need to see:<ul><li>
6+ years in providing in-depth Customer Support and debugging for hardware and software products.</li><li>
An academic degree from an accredited university or college in Networking, Computer Science/Engineering, or Electrical/IT (or equivalent experience).</li><li>
Shown use of established AI technologies in day-today job responsibilities.</li><li>
Established knowledge of Enterprise platform and systems engineering who understands Linux triage, knowledge about servers and can resolve hardware and/or OS internal issues.</li><li>
Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented including professional-level communication skills, interpersonal skills, with the ability to maintain and lead the overall resolution for any critical issue raised by our customer, under all circumstances.</li></ul> 
Profound knowledge and experience (solving) in the following skills:<ul><li>
Networking Technology, protocols and routing including TCP, UDP, Ethernet, IP, L2, L3 (ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF), on Enterprise Level.</li><li>
Linux OS including System Administration and Networking (LFCS / RHCSA)</li><li>
Able to debug networking protocols using tools such as TCPDUMP and Wireshark or similar packet generation and analysis tools.</li><li>
Deep understanding of at least two of the following: data centers, servers, distributed systems, virtualization, deep learning frameworks, containers/containerization (i.e. Docker, Kubernetes)</li><li>
Adoption of AI solutions like Cursor, Gemini, ChatGPT, Copilot, Glean, etc. in your daily work routine.</li></ul> 
Ways to stand out from the crowd:
Knowledge and working experience with the following:<ul><li>
Experience in solving problems in large-scale networking and AI Infrastructure environments with overlay technologies (BGP, OSPF, VXLAN, EVPN), RoCE and QoS Concepts</li><li>
Linux, Networking and NVIDIA AI Infrastructure and Operations Certifications such as CCONP, CCIE, JNCIE-DC/ENT, RHCE, LFCS, NCP-AII/AIO/AIN</li><li>
Shell Scripting (Python, bash, Ansible, yaml, etc&hellip;)</li><li>
Effective and comprehensive fixing / debugging methodology</li></ul>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 120,000 USD - 207,000 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 July 4, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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 HPC Support Engineer - Ethernet and AI Infrastructure

<div>NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU serves as the intelligence behind computers, robots, and autonomous vehicles that perceive the world. Doing what&rsquo;s never been done before takes vision, innovation, and the world&rsquo;s best talent. We pioneered a supercharged form of computing loved by the most demanding computer users in the world - scientists, designers, artists, and gamers. It&rsquo;s not just technology though! It is our people, some of the brightest in the world, and our diverse company culture that make NVIDIA one of the most fun, innovative and dynamic places to work in the world! At the center of NVIDIA's culture are our core values like innovation, excellence and determination and team, that guide us to be the best we can be. As an NVIDIAN, you&rsquo;ll be immersed in a diverse, encouraging environment where everyone is motivated to perform at their highest level. Come join the team and see how we can make a lasting impact on the world.
What you&rsquo;ll be doing:<ul><li>
Develop test strategy and use cases/scenarios for L2++, L3 &amp; L4 Autonomous driving products based on customer needs, traffic regulations, certification standards, and industry guidelines.</li><li>
Define test strategy and execution plan on Vehicle Platform.</li><li>
Formulate test cases and define critical performance metrics to ensure compliance with functional and safety requirements.</li><li>
Close collaboration with different stakeholders to define the KPIs and evaluate the product progress by closing the loop with test data/results.</li><li>
Establish strong multi-functional relationships with collaborators across engineering, safety, and product teams.</li><li>
Scale and innovate the product ODDs by designing campaigns and roadmap.</li><li>
Lead L2++, L3 &amp; L4 Driving Product and retrofitting, managing end-to-end processes to advance testing and validation schedules.</li><li>
Spearhead data triage and root cause analysis, driving issue resolution and generating comprehensive test reports.</li><li>
Promote and cultivate a strong systems engineering approach across the organization.</li></ul>
What we need to see:<ul><li>
MS or PhD in Engineering, Physics, Computer Science, or a related field (or equivalent experience).</li><li>
8+ years proven experience in ADAS Technology, Vehicle Testing , system analysis, data analysis, and software architecture.</li><li>
Proficiency in programming languages commonly used in AV development and testing (e.g., Python, C++) and familiarity with data query and analysis tools.</li><li>
Awareness of functional safety (ISO 26262), Safety of the Intended Functionality (SOTIF / ISO 21448), and V-model validation methodologies.</li><li>
Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations.</li><li>
Proven understanding of trade-offs between End-to-End deep learning approaches, classical modular perception/planning stacks, and associated validation and test strategies.</li><li>
Deep understanding of autonomous vehicle sensor suites (LiDAR, Radar, Camera, Ultrasonic) and their specific failure modes, edge cases, and validation requirements.</li><li>
Collaborate with senior engineers and cross-functional teams to define and enforce rigorous testing and validation standards.</li></ul>
Ways to stand out from the crowd:<ul><li>
Experience contributing to a launched L2++, L3/L4 autonomous vehicle program.</li><li>
Hands-on experience with testing strategy for ADAS, large-scale datasets, data analytics workflows.</li><li>
Innovation by tools/out of the box thinking to resolve the problem statement.</li><li>
Passionate and self-motivated about autonomous technology.</li></ul></div>

Senior Test Engineer - Autonomous Driving

Join NVIDIA and explore 21   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.