דרושים Global Business Development Lead Healthcare Life Sciences Ecosystem ב-אנבידיה

What we need to see:

• MS or PhD degree in Electrical Engineering, Computer Science or equivalent experience.

• Minimum of 8 years relevant experience

• We require proven theoretical knowledge of communication systems, communication theory, linear algebra, detection and estimation theory, baseband signal processing algorithms, and channel coding

• We seek deep expertise in LTE/5G NR L1 (PHY) and L2 (MAC-scheduler) algorithms design and optimizations

• Experience with wireless algorithm performance characterization and analysis

• Wireless base station design, development, and commercialization experience

• Experience building system models with Matlab, C/C++ and/or Python for algorithm design and link-level simulation

• Solid knowledge of 3GPP 5G NR standard

• Strategic context of Telecom Industry and Wireless technology evolution

Ways to stand out from the crowds:

• Research experience in AI/ML and its applications to wireless applications

• Demonstrated experience in software development for commercial RAN products

• Knowledge of SIMD computing architecture

• Background of GPU or CUDA programming

• Knowledge of Wireless Protocols and E2E Deployment Architecture

What you'll be doing:

• Lead business operations and analytics across NVIDIA’s ODM ecosystem, enabling manufacturing scalability and operational rigor.

• Develop and maintain data-driven operational models and dashboards to track capacity, yield, and shipment performance across partners.

• Partner with Finance, Operations, WWFO, and Product teams to connect operational metrics with financial outcomes.

• Implement governance frameworks, standardized important metrics, and regular reviews to develop accountability and transparency across global sites.

• Collaborate with ODMs and internal teams to boost data accuracy, efficiency visibility, and process automation.

What we need to see:

• Bachelor’s or Master’s degree in Data Science, Business, or Finance or equivalent experience (MBA preferred).

• 8+ years of experience in hardware operations, manufacturing analytics, or financial planning — ideally within data center, semiconductor, or hyperscaler environments.

• Proven strength in data analysis, modeling, and visualization using tools including Tableau and Microsoft Office.

• Proficient knowledge of ODM/OEM business structures, production processes, and logistics operations.

• Outstanding communication and execution skills— you can transform data into clear insights and collaborate effectively across global teams for implementation.

• A track record of excelling in fast-paced, cross-functional environments where accuracy, speed, and teamwork matter.

Ways to Stand Out from the Crowd:

• Demonstrated ability to build predictive modeling frameworks that link operational data with business outcomes.

• Proven success driving process automation or analytics transformation within a complex manufacturing or supply-chain network.

• Sound comprehension of supply chain management, optimizing manufacturing processes, and performing scenario analysis for substantial operations.

• Experience collaborating across engineering, finance, and operations to solve high-impact business challenges.

• Passion for translating data into strategy — turning operational insights into measurable results that advance NVIDIA’s AI Factory mission.

What you’ll be doing:

• Work closely with global multi-functional teams to understand the test requirements and take ownership of product quality.

• Plan/design/implement/report/automatetest plan/test case/test reports.

• Run bug lifecycle and co-work with inter-groups to work towards solutions.

• Automate test cases and assist in the architecture, crafting and implementing of test frameworks.

• In-house repro and verify customer issues/fixes.

What we need to see:

• BS or higher in CS/EE/CE or equivalent experience.

• 4+ years of software quality assurance or test automation background with knowledge of test infrastructure and strong analysis skills.

• Scripting language (Python, Perl, Bash) knowledge and UNIX/Linux experience.

• Good C/C++ software development or test development experience.

• Good user/development experiences of virtualization like VM & Docker container.

• Understanding and working knowledge with any Deep Learning Framework and models especially in end-to-end customer scenarios.

• Experience in validating Deep Learning software and Deep Learning models.

• Experience in using AI development tools for test plans creation, test cases development and test cases automation.

• Able to balance conflicting/changing priorities and maintain a positive attitude while experiencing ambitious and dynamic schedules.

• Excellent English written and oral communication skills.

Ways to stand out from the crowd:

• Familiarity with NVIDIA GPU hardware products (Tesla, Tegra, DGX, etc.); working knowledge of NVIDIA GPU Computing (CUDA) and CUDA libraries for Deep Learning.

• Experience in building models and AI-based infrastructure to improve test automation.

• Experience with LLM inference frameworks (TRT-LLM, vLLM, SGLang, etc.)and familiar with running various AI workloads

• Background in validating Data Center GPU based infrastructure (multi-GPUS, multi-nodes, cluster).

• Experience in VectorCAST, Bullseye, Gcov, or Coverity tools.

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

What You’ll Be Doing:

• Guide partners along their Exemplar Path, a collective journey towards demonstrating outstanding cloud acceleration performance, scalability, and innovation leadership.

• Collaborate with NVIDIA’s Cloud, Partner, and Enterprise Solutions teams to co-develop strategies that align cloud architecture with customer and national objectives.

• Develop business and technical roadmaps that connect infrastructure investment with measurable business impact and long-term ecosystem growth.

• Collaborate with sovereign and hyperscale cloud providers to establish AI acceleration strategies using NVIDIA’s technology stack (DGX Cloud, NVIDIA AI Enterprise, Grace Hopper, NVLink, CUDA).

• Lead executive-level workshops and strategy sessions with partner leadership teams to align vision, performance goals, and value creation.

• Support joint go-to-market initiatives that highlight exemplar implementations of NVIDIA accelerated computing within global and sovereign clouds.

• Act as a trusted advisor and ecosystem strategist, connecting technology performance to economic, environmental, and strategic outcomes.

• Contribute to NVIDIA’s Sovereign AI and Cloud Acceleration playbooks, defining frameworks for innovation that respect data sovereignty while scaling AI adoption.

What We Need to See:

• Bachelor’s or Master’s in Business, Engineering, Computer Science, Data Science, or equivalent experience.

• 12+ years of experience in cloud strategy, AI infrastructure consulting, or partner ecosystem development.

• Solid understanding of GPU-accelerated computing, AI infrastructure, and cloud architecture.

• Demonstrable ability to translate technical solutions into strategic business narratives and measurable value frameworks.

• Experience interacting with executive team members and ecosystem partners across both public and private sectors.

• Effective communication and storytelling skills across technical and strategic audiences.

Ways to Stand Out from the Crowd:

• Deep experience in hyperscaler or sovereign cloud partnerships and ecosystem development.

• Familiarity with NVIDIA DGX Cloud, AI Enterprise, and Grace Hopper-based architectures.

• Proven track record in strategic enablement programs or building exemplar partner models that demonstrate innovation excellence.

• Understanding of Sovereign AI trends, AI infrastructure economics, or sustainable acceleration strategies.

What you'll be doing:

• Manage interface between NVIDIA and Distributor.

• Directly lead Distributors. Handle channel disputes as needed.

• Ensure Distributors meet and exceed goals.

• Understanding distributor business strategies. Communicating distributor business strategies to pertinent departments in NVIDIA.

• Understanding and communicating NVIDIA value propositions (corporate, positioning, products, technologies, capabilities) to distributors and VARs.

• Managing Distributor product focus.

• Running quarterly and ad-hoc promotional activities at distributor.

• Training distributor salespeople.

What we need to see:

• Minimum (8) years related experience in channel account sales management.

• BA (or equivalent experience), MBA is a plus

• Experience managing distribution channel accounts is a plus.

• Proven ability to develop and maintain relationships with channel partner accounts.

• Track record of strong sales in compute and storage products.

• Strong team-selling skills.

• Excellent oral and written communications skills including effective presentation and negotiation skills.

Ways to stand out from the crowd:

• Understanding of data science workflows and generative AI's effect on the Professional Visualization sector channel.

• A strong curiosity about understanding new technologies and adept at conveying their value to a distributor sales, technical and executive teams.

• Strong executive presence, polish, and political savvy

• Track record of successfully growing revenue for new innovative technology based solutions.

• Specific experience and relationships within key Professional Visualization sector distributors and the ability growth their revenue.

NVIDIA is seeking an analytical Business Analyst for End User Support, a critical function in Information Technology. As a Business Analyst, you will drive the design, delivery, management, and improvement of IT services to meet Employee Experience needs. You will play a pivotal role in aligning IT services with business requirements, ensuring effective service delivery, improving the end-user experience, and championing clear, consistent communication and reporting to all relevant team members. At times, you will step in to lead key areas of IT End User Support such as Service Efficiency, Productivity and Operational Excellence. Agility is key for this role, along with a strong communication skill, and an ability to drive our programs

What you’ll be doing:

• Develop, document, and coordinate adaptable operational processes that align with Support Engineering and business strategies.

• Identify bottlenecks, inefficiencies, and automation opportunities to drive speed and scalability.

• Proactively establish and drive collaborative partnerships with NVIDIA business leaders and partners to ensure IT alignment, robust support for requirements, and enable future growth.

• Executing against roadmaps and improving operational mechanisms that drive a highly effective and efficient Support Engineering organization.

• Champion product and service innovations using data insights, analysis, and metrics.

• Drive efficiency in the IT processes, in partnership with the business, engineering team, and the IT Organization.

What we need to see:

• Bachelor's degree or equivalent experience.

• 5+ years of experience.

• Experience driving process efficiency or related field

• Experience in building trusted advisor relationships, influencing others and working effectively with people at all levels in an organization.

• Shown success in transformative alignment of process setting, translating strategy into actionable steps.

• Exhibits strong verbal and written communication skills accompanied by the ability to influence both directly and indirectly and build consensus throughout the business.

• Knowledge of communications standard processes and willingness to develop strategies and complete plans.

Ways to stand out from the crowd:

• Operates with a high level of intellectual curiosity, demonstrating a startup personality that is proactive, hands-on, driven, strategic, accountable, ethical, collaborative, hard-working, and productive

• Track record of driving business outcome and successful implementations, sales, strategies, requiring collaboration across different team members