דרושים Director Product Marketing - Cuda-x ב-אנבידיה ב-ארהב

What You’ll Be Doing:

Lead the product strategy and execution for NVIDIA’s Omniverse Digital Twin platform focused on Digital Twin robotics and automation integration use cases. Drive cross-functional alignment and deliver features that enable scalable, Physical AI-powered simulation solutions.

• Define and manage roadmap, use cases, and user journeys for industrial digital twins

• Translate customer needs into clear, prioritized requirements

• Partner with engineering to drive execution and technical trade-offs

• Serve as a voice of the customer across development and GTM teams

• Mentor and guide junior PMs to grow product leadership capacity

• POR & One-page summaries of strategic intent

• Product roadmap with quarterly milestones and long-term vision

• PRDs with use cases, personas, and workflows

• Capability and release launch plans in coordination with GTM and engineering

What We Need To See:

• 7+ years in product management, including experience owning sophisticated platform or developer-facing products.

• BS or MS in Computer Science, Engineering, or equivalent experience.

• Confident navigating cross-functional leadership and high-stakes decision-making, with the ability to lead product initiatives and drive alignment.

• Background in robotics, automation, simulation, or digital twins — or a proven track record to ramp up quickly in highly technical domains.

• A strategic and systems thinker, equally comfortable defining big-picture vision and execution details.

• Experience in both startup and large enterprise settings; adaptable, pragmatic, and process-aware.

Ways To Stand Out From The Crowd:

• Strong sense of purpose and ownership, with an ability to prioritize, deliver product, and encourage those around you.

• Humble, collaborative, and curious, always seeking new ways to tackle problems and empower your team.

What you'll be doing:

• Onboard new repair partners and manage day-to-day repair operations across our sites, ensuring all facilities achieve turnaround time and quality targets.

• Lead daily operational reviews with repair partners to track key operational metrics, resolve bottlenecks, and enforce accountability for on-time delivery and repair commitments.

• Function as the key intermediary between repair partners and NVIDIA internal teams — Engineering, Quality, Procurement, Logistics, and Planning — to set shared goals and overcome barriers to meeting targets.

• Drive continuous improvement in repair processes, capacity utilization, yield, and quality through structured root-cause and corrective-action initiatives.

• Coordinate repair commit performance (planned vs. actual), monitoring metrics such as on-time completion rate, FA/bonepile recovery time, turnaround time, and test yield.

• Evaluate capital expenditures and repair expenses, and hold quarterly business meetings with repair collaborators.

• Partner with Engineering and Quality to implement repair process controls, engineering change management, and compliance audits.

• Work with Planning and Procurement to ensure supply chain readiness for new service offerings and ongoing repair builds.

• Champion operational excellence by ensuring sites meet quality and delivery commitments, improving metrics.

What we need to see:

• Bachelor’s degree in Engineering, Operations, Supply Chain, or equivalent experience.

• 15+ overall years of hands-on operations experience managing technology repair, refurbishment, or production environments.

• 8+ years ofmanagement/leadershipexperience in reverse logistics or repair operations, including managing multiple sites and vendors (domestic and international).

• Established record of managing daily factory performance, tracking critical metrics, and ensuring vendor accountability.

• Strong understanding of OEM server, PCBA, and system test processes.

• Experience implementing process improvements, capacity planning, and inventory control systems at repair or manufacturing facilities.

• Demonstrated ability to lead cross-functional teams (Engineering, Quality, Planning, Procurement) and deliver measurable performance gains.

• Data-driven decision maker with excellent problem-solving, communication, and vendor management skills.

Collaborating with your peers across various engineering groups, you will optimally launch new systems for NVIDIA HGX GPU Accelerated Server Platforms to production. These purpose-built systems are optimized for the growing Deep Learning, Artificial Intelligence, and Analytics environments. With world-class technology enablingnever-been-seen-beforeperformance levels, NVIDIA’s HGX portfolio is arguably the most complicated systems platform ever developed by humans. This product family represents the company’s fastest growing line of business as well as its largest total available market opportunity. You will bring to bear your knowledge of system architectures and GPU technology in order to productize new GPU boards for datacenter architectures with GPU-accelerated clusters. Your responsibilities will include planning and establishing processes, defining test requirements and optimizing the production line to deliver new GPU boards. You will also be instrumental in helping the team to achieve the desired cost and quality metrics considered outstanding.

This position will be based out of Dallas, Texas.

What you will be doing:

• Use your in-depth experience with high speed networks and signals to plan and develop new diagnostic tests and debug procedures for next gen products

• Use your knowledge of system power-up and handshakes during boot to debug complex interactions between HW, FW and SW on faulty boards

• Recommend, drive and ensure compliance to DFx requirements for robust signal integrity performance as related to layout, mechanical components, assembly procedures, etc.

• Develop and deliver test specs for system level manufacturing screens for all new products to meet the required HW coverage, quality and product requirements.

• We collaborate with CM to define product assembly line, number of test stations and number of assembly fixtures, optimized for cost and efficiency.

• Craft creative solutions and WARs through volume data analysis and lab experimentation to solve meaningful yield and test problems.

• We lead optimization and continuous improvement efforts on the production screen spec definition processes to minimize waste and meet test time, yield, DPPM requirements.

• Support customer facing and quality teams during partner concerns to understand the issue and fix gaps identified in coverage.

What we need to see:

• BS or MS degree in EE/CE or equivalent experience.

• 5+ years of meaningful industry experience.

• Strong EE fundamentals, knowledgeable in digital design, signal integrity, statistics, timing analysis, fault analysis, sampling and computer architecture.

• Ways to stand out from the crowd:

• Prior board/system level electrical design experience.

• Experience with Perl, C/C++, Windows, and Linux.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by incredible technology—and amazing people.

What you'll be doing:

You will invent a full range of items and compositions that connect with significant themes, narratives, and product launches. From concept to production, you'll define the art direction for our global employee Gear Store and company merchandise, including the aesthetic, color, materials, and overall style. Work with the merchandise buyer and operations lead to establish roadmaps for our product collections. Direct the user experience and development of our on-site store, event pop-ups, and website.

What we need to see:

• A portfolio showcasing excellence in crafting purposeful, beautiful designs for merchandise—apparel, soft and hard goods. Actual examples of your hands-on illustration and design work, including production.

• A deep knowledge bank of materials, production processes, decoration techniques, complexities, and caveats.

• Proven examples demonstrating your ability to art direct, invent, construct, and conceptualize ideas and innovative creative concepts, particularly relating to abstract and technicalsubjects—transformingideas into sought-after gear.

• Evidence of how you stay on top of the latest trends in the apparel and merchandise space, tech industry trends and technologies— and embrace change.

• Demonstration of the fundamental principles of art direction, graphic composition for brand, illustration, typography, video, photography, and even 3D.

• Your passion to take intent and direction from your peers and leaders and apply your art direction skills to build a vision, iterate quickly, revise, and produce final artwork.

• 10+ years of proven experience working with established brands, building or extending apparel or merchandise collections, collaborating with senior executive level leadership teams.

• Proficiency in Microsoft Office and/or Google Suite applications, tracking your work in project tracking tools such as Workfront.

• A BFA, BS, or MFA in Graphic Development, Illustration, Fashion Composition, or equivalent field is required (or equivalent experience).

Ways to stand out from the crowd:

• Are you curious and passionate about technology, design, and the rapidly evolving AI landscape? Show us you embrace AI, are an AI expert, and have successfully integrated AI tools into to your creative process or workflow.

• Have experience working at a global apparel or premium lifestyle brand? Show us how you understood and integrated established brand systems and technologies into coveted items.

• Do you have hands-on skills in illustration, infographics, 3D, motion graphics, video, photography or storyboarding? Can you sketch, or develop retail displays? Share your creative passions with us!

What you'll be doing:

• Define top level product strategy, architecture and capabilities by synthesizing input from internal/external applied research/engineering teams and competitive landscape mapping.

• Map the domain specialized foundation model(s) ecosystem and strategize NVIDIA's unique role and contribution to galvanize the entire ecosystem with the right CSP/ISV partners.

• Clearly define use case scenarios and product requirements with specific benchmarks aligned with product goals.

• Coordinate and compose the entire product execution process through technical interactions (architecture building, benchmark reviews, etc) both internally and externally

• Partner with the functional leaders across Engineering, Applied Research, Developer Relations, Marketing and Business Development to create new market opportunities with high value, forward-thinkingClaraopen models and companion platform(s) capabilities.

• Be responsible for building compelling GTMs with product marketers and enable the sales team with strong product value props and benchmarks.

What we need to see:

• BS or MS degree in Computer Science, Computer Engineering, or similar field (or equivalent experience)

• 12+ years of product management, or similar, experience at a technology company serving enterprises

• Product Management Experience: Proven track record in product management, particularly within the technology sector, with experience serving large developer ecosystems.Open-source ecosystem development experience highly valued.

• Deep understanding of domain specific AI/ML training and inference, Large Language Models (LLMs), Generative AI (Gen AI), and relevant frameworks and libraries especially popular with Medical AI researchers and data scientists

• Strong leadership, communication, and interpersonal skills to collaborate effectively with cross-functional teams and influence collaborators.

• Ability to balance high-level strategy with detailed planning, analyze market data, and make data-driven decisions.

Ways to stand out from the crowd:

• Familiarity with NVIDIA’s AI technology stack, including MONAI, PyTorch, CUDA, TensorRT, Omniverse, Cosmos, NIMs, or more

• Experience in developing and deploying AI solutions in healthcare environments.

Collaborating with your peers across various engineering groups, you will successfully launch new systems for NVIDIA HGX GPU Accelerated Server Platforms to production. These purpose-built systems are optimized for the growing Deep Learning, Artificial Intelligence, and Analytics environments. With world-class technology enablingGPU boards fordatacenter architectures with GPU-accelerated clusters. Your responsibilities will include planning and establishing processes, defining test requirements and optimizing the production line to deliver newGPU boards.You will also be instrumental in helping the team to achieve the desired cost and quality metrics considered best-in-class.

What you will be doing:

• Leverage your in-depth experience with high speed networks and signals to plan and develop new diagnostic tests and debug procedures for next gen products

• Use your knowledge of system power-up and handshakes during boot to debug complex interactions between HW, FW and SW on faulty boards

• Recommend, drive and ensure compliance to DFx requirements for robust signal integrity performance as related to layout, mechanical components, assembly procedures, etc.

• Develop and deliver test specs for system level manufacturing screens for all new products to meet the required HW coverage, quality and product requirements for various business units.

• Collaborate with CM to define product assembly line, number of test stations and number of assembly fixtures, optimized for cost and throughput.

• Craft creative solutions and WARs through volume data analysis and lab experimentation to solve challenging yield and test problems seen on the production floor.

• Lead optimization and continuous improvement efforts on the production screen spec definition processes to minimize waste and meet test time, yield, DPPM requirements.

• Support customer facing and quality teams during customer escalations to understand the issue and fix gaps identified in coverage.

What we need to see:

• BS or MS degree in EE/CE or equivalent experience.

• 5+ years of meaningful industry experience.

• Strong EE fundamentals, knowledgeable in digital design, signal integrity, statistics, timing analysis, fault analysis, sampling and computer architecture.

Ways to stand out from the crowd:

• Prior board/system level electrical design experience.

• Experience with Perl, C/C++, Windows, and Linux.

What you'll be doing:

• Drive development and productization of NVIDIA’s DGX datacenter products and L11 systems.

• Lead debug efforts for L11 rack-level integration, creating and applying tools/scripts for failure identification and root cause analysis.

• Provide clear, actionable guidance to factories to resolve issues quickly and implement corrective actions that improve manufacturing quality and efficiency.

• Develop and document robust, stable recipes—including diagnostics, firmware, and software—for mass production ramp.

• Review and provide feedback on test plans and factory acceptance criteria, focusing on yield, quality, and efficiency.

• Collaborate with development, validation, and manufacturing test engineering teams to understand diagnostic and firmware release plans and their impact on system stability and quality.

• Influence test engineering and diagnostic teams to enhance test methodology, telemetry, and debug capabilities for precise FRU identification and isolation of firmware/test issues and to improve test coverage with the goal of preventing downstream escapes.

• Partner with product development teams to ensure designs are optimized for manufacturing.

• Present NPI status updates and critical issues to executive management.

What we need to see:

• Expertise in server platform architecture, CPU/GPU baseboards, and high-speed interfaces with proven system-level debug skills and exceptional diagnostic instincts.

• Strong knowledge of BMC, firmware architecture, and manufacturing diagnostics.

• Familiarity with L11 integration processes.

• Excellent communication skills to articulate problems and deliver clear recommendations.

• Strong analytical skills to synthesize complex information and provide actionable guidance.

• Leadership skills to manage factory operations and drive issue resolution.

• Collaborative mindset to work seamlessly with cross-functional teams and external partners.

• Results-driven approach to achieving optimal outcomes across all aspects of NPI operations.

• 12+ years in system engineering, debug, or equivalent relevant experience

• BS or higher in Electrical Engineering, Computer Engineering or equivalent experience