Networking Lead - Nvis New Product Introduction jobs at Nvidia

As a Research Scientist specializing in Generative AI for Physical AI, you'll be at the forefront of developing next-generation algorithms that bridge the gap between virtual and physical realms. You'll work with state-of-the-art technology and have access to massive computational resources to bring your ideas to life.

What you'll be doing:

• Pioneer revolutionary generative AI algorithms for physical AI applications, with a focus on advanced video generative models and video-language models

• Architect and implement sophisticated data processing pipelines that produce premium-quality training data for Generative AI and Physical AI systems

• Design and develop cutting-edge physics simulation algorithms that enhance Physical AI training

• Scale and optimize large-scale training systems to efficiently harness the power of 20,000+ GPUs for training foundation models

• Author influential research papers to share your groundbreaking discoveries with the global AI community

• Drive innovation through close collaboration with research teams, diverse internal product groups, and external researchers

• Build lasting impact by facilitating technology transfer and contributing to open-source initiatives

What we need to see:

• PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).

• Deep expertise in PyTorch and related libraries for Generative AI and Physical AI development

• Strong foundation indiffusion, vision language and reasoning models and their applications

• Proven experience with reinforcement learning algorithms and implementations

• Robust knowledge of physics simulation and its integration with AI systems

• Demonstrated proficiency in 3D generative models and their applications

Ways to stand out from the crowd:

• Publications or contributions to major AI conferences (ICLR, NeurIPS, ICML, CVPR, ECCV, SIGGRAPH, ICCV, etc.)

• Experience with large-scale distributed training systems

• Background in robotics or physical systems

• Open-source contributions to prominent AI projects

• History of successful research-to-product transitions

What you will be doing:

• Analyze pre-production silicon in innovative process technologies for performance, power, yield, and quality to define groundbreaking products as a product definition engineer for NVIDIA's family of chips and products.

• Architect crucial next-generation product features vital for performance, power optimization, and management techniques from feature definition to production, working with multi-functional teams.

• Design tools to automate product definitions, binning, data collection, test case execution, and results analysis.

• Build pre and post-silicon methodologies to characterize silicon features, correlate silicon behavior with simulations, and provide design feedback.

• Find creative solutions to sophisticated silicon and system-level problems and be on the frontline to lead show-stopper bugs to enable product shipment.

• Work alongside system architects, chip and board designers, software/firmware engineers, HW/SW applications engineering, process/reliability specialists, ATE engineers, product managers, sales, and operations in a multifaceted, high-energy work environment to bring industry-defining products to market.

What we need to see:

• BS (or equivalent experience) with 8+ years or MS with 6+ years experience in EE, CE, CS, Systems Engineering, or similar and experience in a related hardware engineering position.

• Excellent problem-solving, collaborative, and interpersonal skills. Experience working with offshore teams preferred.

• Hands-on experience with silicon bringup, frequency and power characterization, Tester System correlation, and lab tools (oscilloscopes, multimeters, DAQ).

• Deep understanding of product binning methods, optimization techniques, methods, trade-off analysis, and tools for data analysis and statistics.

• Exposure to critical path analysis, power analysis, process technologies, transistor/device physics, silicon reliability, and aging mechanisms.

• Familiarity with Perl, C/C++, tool and script development, Windows and Linux OS is a plus.

• Background with power supply and substrate noise analysis and mitigation.

• Exposure to digital design, circuit analysis, computer architecture, BIOS, drivers, and software applications.

What you'll be doing:

• Engage with NVIDIA Cloud Partners (NCP) to drive initiatives, shape new business opportunities, and cultivate collaborations in the field of Artificial Intelligence (AI), contributing to the advancement of our cloud solutions.

• Identify and pursue new business opportunities for NVIDIA products and technology solutions in datacenters and artificial intelligence applications, closely collaborating with Engineering, Product Management, and Sales teams.

• Serve as a technical specialist for GPU and networking products, collaborating closely with sales account managers to secure design wins and actively engaging with customer engineers, management, and architects at key accounts.

• Conduct regular technical customer meetings to discuss project and product roadmaps, features, and introduce new technology solutions.

• Develop custom product demonstrations and Proof of Concepts (POCs) addressing critical business needs, supporting sales efforts.

• Strong technical presentation skills in English, confidence in developing Proofs-of-Concept, and a customer-focused mentality, coupled with good organization skills, a logical approach to problem-solving and effective time management for handling concurrent requests.

• Manage technical project aspects of complex data center deployments, including design-in opportunities and responding to RFP/RFI proposals.

What we need to see:

• BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields with at least 8 years work or research experience in networking fundamentals, TCP/IP stack, and data center architecture.

• Ideal candidate possesses 8+ years of Solution Architect or similar Sales Engineering experience, demonstrating motivation and skills to drive the technical pre-sales process.

• Deep expertise in datacenter engineering, GPU, networking, including a solid understanding of network topologies, server and storage architecture.

• Proficiency in system-level aspects, encompassing Operating Systems, Linux kernel drivers, GPUs, NICs, and hardware architecture.

• Demonstrated expertise in cloud orchestration software and job schedulers, including platforms like Kubernetes, Docker Swarm, and HPC-specific schedulers such as Slurm.

• Familiarity with cloud-native technologies and their integration with traditional infrastructure is essential.

Ways to stand out from the crowd:

• Knowledge in InfiniBand and Artificial Intelligence infrastructure.

• Demonstrated hands-on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), ARM CPU solutions, coupled with proficiency in C/C++ programming, parallel programming, and GPU development.

• Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data centercompute/network/storagedeployments.

• Large scale systems management experience.

• Experience with Python programming and AI workflow development and deployment (training/inference) would be advantageous.

What You’ll Be Doing:

The core mission of this role is to optimize the flow of marketing projects and assets from inception to sales enablement. Your responsibilities will include:

• Prioritization and Intake: Build, lead, and implement standardized business processes and project intake mechanisms for the Networking Marketing team.

• Workflow Optimization: Document, monitor, and refine marketing workflows for various campaigns and product launches, with a focus on identifying bottlenecks, reducing delays, and maintaining quality across global teams.

• Dependency Management: Plan timelines, resolve required approvals, and identify key cross-functional dependencies to ensure project success and timely delivery.

• Enablement Strategy: Lead all aspects of the lifecycle of product marketing assets used for sales enablement, including playbooks, collateral, pitch decks, and technical whitepapers.

• Performance Measurement: Define and supervise key performance indicators to measure the effectiveness of operational processes and marketing assets.

• Cross-Functional Enablement: Develop marketing collateral and sales training to ensure effective use of tools, data, and established processes.

What We Need to See:

• Proven ability in Product Marketing, Marketing Operations, or a Technical Program Management role within a fast-paced technology organization.

• Working knowledge of data center, high-performance computing (HPC), and networking technologies (e.g., InfiniBand, high-speed Ethernet), and how they relate to AI and enterprise solutions.

• Demonstrated leadership with project management techniques and hands-on experience with management software.

• Demonstrated ability to translate complex technology capabilities into clear, simple positioning and messaging for both technical and executive audiences.

• Consistent track record to prioritize multiple complex projects and work independently with minimal direction in a highly complex, agile environment.

• Bachelors degree or equivalent experience.

• 8+ years experience preferred experience in business management, marketing or a related technical field.

Ways to Stand Out from the Crowd:

• Knowledge of, or prior experience with, NVIDIA's Networking solutions, products, and ecosystem.

• Mastery in storytelling and outstanding content creation skills, with the ability to create compelling narratives for any audience.

• Excellent understanding of marketing frameworks, methodologies, and toolkits used to scale global operations.

• Experience in using configuration tools to expedite and expand on-brand content generation for marketing and advertising campaigns.

What you'll be doing:

• Leading the end-to-end product lifecycle, from new features to supporting new AI platforms, delivering multiple releases per year.

• Collaborating with cross-functional teams, including engineering, marketing, and sales, to successfully implement product strategies and roadmaps.

• Writing clear requirements, user stories, and compelling user experiences to ensure a quality product.

• Managing release schedules and coordinating with development teams to ensure timely delivery of enterprise software products.

• Applying sophisticated product management software to monitor progress, track metrics, and report on the success of product initiatives.

What we need to see:

• Bachelor's degree in Computer Science, Engineering, or equivalent experience.

• Minimum of 8 years of experience in software product management.

• Extensive hands-on experience with compute, network, and storage technologies.

• Proven proficiency in release management strategies and adept utilization of product management software tools.

• Proven written and verbal communication skills. Ability to effectively connect with technical and non-technical stakeholders.

• Leadership skills! Remove obstacles. Resolve ambiguity. Comfortable presenting and defending your fact-based opinion or recommendation.

Ways to stand out from the crowd:

• Hands-on experience with NVIDIA Base Command Manager or Bright Cluster Manager

• Experience as an SRE, datacenter operator, infrastructure manager

• Experience with high-performance computing

• Background with Software Development Life Cycle

What you will be doing:

• Develop RDMA networking protocols that offer outstanding performance for communication patterns prevalent in AI factories.

• Explore innovative solutions in HW and SW for our next generation platforms as part of programmable RoCE architecture.

• Build proofs-of-concept, conduct experiments, and perform quantitative modeling to evaluate and drive new innovations.

What we need to see:

• M.S./Ph.D. degree in CS/CE or equivalent experience.

• 5+ years of relevant experience.

• Excellent C/C++ programming and debugging skills.

• Proven fundamentals of compute, network architecture and operating systems.

• Strong experience with Linux.

• Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:

• Expertise in related technology and passion for what you do. Experience with RDMA protocols and software stack.

• Strong collaborative and interpersonal skills and a proven track record of effectively guiding and influencing within a dynamic and multi-functional environment.

NVLink Fusion is an industry disrupting product that provides CSPs and Hyperscalars building custom AI ASICs to rapidly deploy rack-scale compute with proven NVLINK scale-up architecture.

What You'll Be Doing:

• Develop, evaluate, review and refine architectural solutions that are scalable across our partners and our customers

• Contribute to specification on bus protocols, networking protocols, security, power management and performance.

• Understand the product impact of architectural decisions across multiple dimensions including performance, power, resiliency, programmability, security, and schedule.

• Work with teams throughout the company (Design, Implementation, Software, Circuit, Thermal, Platform, Operations, Marketing, etc...) implementing and guiding cross-team solutions to achieve product targets.

• Analyze and explain the advantages of NVIDIA chips and guide customers, and internal/external partners to extract the most performance from our chips

What We Need To See:

• Master's Degree in Computer Science or Electrical Engineering (or equivalent experience)

• 15+ years of relevant work experience focused on CPU, GPU and high performance architectures.

• Experience building complex microarchitectural structures and working with industry standard components/protocols for compute, fabric, memory, and attached devices.

• Understanding of the performance, power and security implications of microarchitectural features.

• Strong interpersonal, communication and teamwork skills.

• A drive to continuously learn and expand architectural and microarchitectural breadth and depth.