

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.
You will also be eligible for equity and .
משרות נוספות שיכולות לעניין אותך

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.
You will also be eligible for equity and .

What you'll be doing:
Design intuitive data models and semantic layers to enable self‑service and AI apps reducing ad‑hoc query friction for business users.
Enrich data products with business glossary and metadata to reduce AI hallucinations, improve user adoption, searchability and governance.
Lead multi‑site integrations across new manufacturing plants and ops applications standardizing schemas and controls; enabling cross‑plant insights.
Engineer scalable pipelines with data integrity functions and audit features. Automate measuring and monitoring data quality for improved decision making.
Explain the data designs, system changes, enhancements, address any questions or issues effectively to the stakeholders.
Partner with stakeholders, solve business problems, train users, help with data and queries.
Optimize Lakehouse systems to deliver high performing solutionswhile controlling operational costs.
What we need to see:
BS, MS, or PhD in EE/CS or related field of education (or equivalent experience).
5+ years of programming experience (Python, PySpark, SQL, etc.).
5+ years of experience with big data technologies and cloud platforms (AWS, Databricks, Snowflake).
12+ overall years in Data Warehousing, implementing projects with data Lakehouse solutions.
Experience with enterprise BI databases like SAP BW/HANA, ERP/CRM systems like SAP/Salesforce, planning applications like IBP, APO etc.
Knowledge of operational processes in chips, boards, systems, and networking.
Proficiency in Tableau, PowerBI, and SAP reporting applications.
Ways to stand out from the crowd:
Strong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracy.
Highly independent, able to lead key technical decisions, influence project roadmap and work effectively with team members
Proven experience leading multiple analytics projects in a dynamic, fast-paced environment
Data science, AI/ML experience
Positive interpersonal skills with ability to convey good verbal and written communication
You will also be eligible for equity and .

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.
You will also be eligible for equity and .

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
You will also be eligible for equity and .

What You'll Be Doing:
Build strong partnership with Engineering and Marketing leaders supporting global investments to ensure that spending is aligned to key objectives and initiatives. Investments include headcount, contractors, software and hardware infrastructure, tools, and licenses.
Develop a comprehensive understanding of the robotics industry and the company to analyze investments, identify cost-effective options, assess project priorities, and provide solutions for the business.
Prepare forecasts for investments, headcount, operating and capital expenditures and analyze quarterly variances to forecasts by identifying associated risks and opportunities.
Establish efficient processes for monthly and quarterly close and performance reporting. Implement practices for budget management and investment optimization.
Improve processes to increase accuracy and efficiency.
What We Need to See:
Bachelor's degree or equivalent experience in finance, Data Science, Engineering, or a related field; MBA or equivalent advanced degree preferred.
5+ years’ experience in financial planning and analysis, with experience in analysis, forecasting, and modeling preferably within global high-tech.
Possess strong interpersonal, communication, and listening skills which allows effective communication with both Finance and Engineering leaders.
Strong analytical skills and advanced financial modeling, with ability to build and convey business insight.
Ability to multi-task, work independently, and in teams to identify and solve problems collectively.
Ways to stand out from the crowd:
Solid business judgment with ability to think strategically and plan effectively; be hands on, accurate, with attention to details, and results oriented.
SAP ECC, S4 and BPC, Power BI, or SQL skills
Strong understanding of industry technology and market dynamics in areas directly related to NVIDIA’s products, research and development.
You will also be eligible for equity and .

What you will be doing:
Responsible for all aspects of strategy creation and implementation, forecasting, sales account management, training, and education to OEM customers
Assist account management teams through full sales cycles with activities including the quote, special pricing, and deal tracking, rebate, EOL terms, and revenue management.
Work with various NVIDIA internal partners (Operations, Finance, Credit, Sales Management, Product Management) to drive continuity of supply and process improvement.
Participate in the development of regional Sales Operations processes to streamline workflows. Take the lead in performing daily sales administration and operations tasks including forecast management, customer demand fulfillment, leading customer level supply commitment, coordinating NPI, EOL, VMI supply, etc.
What we need to see:
5+ years Sales Operations experience with Tier one OEM
Bachelor's degree or equivalent experience
Strong revenue reporting and sales / financial analytical skills
Strong consultative and project management skills
Highly detailed oriented. Maintain the confidentiality of critical information
Ability to work efficiently in a sophisticated high-tech environment
Knowledge of the Semiconductor industry and experience in supply chain management
High energy and positive problem-solving demeanor
Ability to multi-task and strong organization skills. Proactive, creative, flexible, and use good judgment to accomplish tasks on schedule with minimal direction and supervision
Ways to stand out from the crowd:
Thrive in a fast-paced, constantly evolving environment and quickly learn new concepts.
Self- starter along with social and influencing abilities, work well across functional teams.
Ability to be proactive, get things done, highly motivated and willing to work flexible schedule to meet business needs.
High level of ownership, accountability, seek new initiative. Effective collaboration and communication, both written and oral, skills
You will also be eligible for equity and .

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.
You will also be eligible for equity and .
משרות נוספות שיכולות לעניין אותך