דרושים Software Asset Management Analyst ב-אנבידיה ב-ארהב

What you’ll be doing:

• Critical member of revenue forecasting processes and conduct detailed variance analysis to deliver actionable insights in a fast-paced, high-growth environment.

• Build and maintain dynamic financial models to project revenue, costs, and gross margins, supporting strategic planning and performance management.

• Analyze complex financial data and trends to provide clear, data-driven recommendations to senior leadership and cross-functional business partners.

• Champion continuous improvement initiatives in financial reporting by implementing automation and optimizing reporting processes.

• Ensure accurate and timely financial reporting in accordance with the FP&A calendar and quarter-end close requirements, maintaining high standards of data integrity and compliance.

What we need to see:

• 12+ overall years of financial planning experience, especially with data analytics and data modeling of a business unit, supporting a global, high-tech corporation.

• Bachelor’s degree or equivalent experience in Finance, Economics, Business; MBA a plus.

• Expert analytical skills and advanced financial modeling techniques in Excel, with ability to build and convey business insight.

• Define new processes and analytics as well as influence business decisions.

• Ability to improve and streamline manual processes and drive efficiency.

• Strong leadership, interpersonal, and communication skills, including effective communication at all levels within the Company.

Ways to stand out from the crowd:

• Expert analytical and complex financial modeling skills, critical thinking and problem-solving skills.

• Experience collaborating across a large organization to influence change.

• Excellent communication and interpersonal skills, with proven ability to build successful relationships and partner with all levels of a company’s organization.

• Creative and innovative leader with a positive approach and a focus on business solutions.

• Experience with SAP, SFDC, Tableau and BI Tools applications.

What you’ll be doing:

• Lead financial planning and analysis for the global Hardware Engineering organization, driving forecasting, budgeting, and investment optimization.

• Oversee engineering inventory management, including forecasting, reserve analysis, and excess material reviews.

• Manage global engineering lab investments by planning equipment purchases based on company roadmaps and partnering closely with engineering leaders to ensure alignment with development priorities.

• Develop and maintain dynamic financial reporting frameworks covering budget, forecast, and variance analytics that improve visibility and decision-making.

• Leverage Artificial Intelligence and automation tools (such as Claude, Perplexity, Copilot, Databricks, Alteryx, and Power BI) to build scalable data models, dashboards, and analytical reports that generate actionable business insights.

• Drive process improvements that enhance accuracy, efficiency, and transparency across engineering finance operations.

What we need to see:

• Bachelor’s degree in Finance, Data Science, Engineering, or a related field (or equivalent experience); MBA or advanced degree preferred.

• 5+ years of experience in financial planning and analysis, preferably within a global high-tech or manufacturing organization.

• Proven expertise in data analytics and financial modeling, including proficiency in tools and programming languages such as Python, SQL, or similar.

• Strong understanding of accounting principles and experience with financial ERP systems (SAP experience a plus).

• Exceptional analytical, problem-solving, and business partnership skills with the ability to translate complex data into clear, actionable insights.

Ways to stand out from the crowd:

• Semiconductor and/or manufacturing experience in tech.

• Genuine curiosity in STEM and eagerness to learn new things.

• Strong understanding of industry technology and market dynamics in areas directly related to NVIDIA’s products, research and development.

What you’ll be doing:

• Work closely with passionate engineers to design, develop, optimize, debug, unit test, document and maintain next-generation graphics and computing features for NVIDIA GPUs.

• We work on next-generation GPU hardware and software features through all phases of development, and you will get an opportunity to work across user and kernel stacks.

• Also work on customer issues and provide timely root cause of the problem and resolution.

• Collaborate with many internal teams (software, hardware, architecture, QA and OEM support), partners and customers to define new products and features, and resolve issues.

What we need to see:

• BS degree or higher or equivalent experience (computer science or related).

• 12+ years of industry experience.

• In depth understanding of Windows or Linux device drivers, PC architecture and ability to work close to the hardware.

• Proficient in C/C++ with strong software development, optimization and analytical skills.

• Strong debugging skills and extensive experience using gdb/kgdb/windbg to analyze complex pieces of software.

• Strong articulation skills for crafting and improving technical documents, and to engage globally distributed engineering team.

Ways to stand out from the crowd:

• Understanding of Virtualization concepts and system software for ESX, Hyper-V or KVM.

• Knowledge of DX/OGL graphics technologies, WDDM model.

• Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.).

What You’ll Be Doing:

• Lead and manage aspects of silicon business operations, including wafer and advance packaging supply chain management, capacity, pricing, and contract negotiations, product roadmap influence, and relationship management. Help shape and influence our production process decisions to ensure flawless execution and world-class results.

• Assist with business negotiations including preparation of RFQs for product tape out awards, pricing, capacity allocations, and other key business drivers.

• Assist the business team, ensuring they are equipped to meet our operational goals and respond to challenges with agility.

• Thrive in problem-solving and react swiftly to issues, maintaining the seamless flow of operations in a dynamic environment.

• Influence upper management by highlighting competitive technologies, ensuring timely decisions that support our business objectives.

• Partner with suppliers to secure expedites, supporting new product ramps and mitigating urgent shortages.

• Resolve capacity constraints by collaborating with suppliers, internal planning, and engineering teams, ensuring smooth operations and minimal disruptions.

• Work closely with the BU, Engineering, and Ops teams on advance packaging roadmaps and production ramps, aligning efforts to mitigate potential risks and ensure successful product launches.

• Manage foundry partner relationships and be a key individual to initiate/handle escalations.

What We Need to See:

• Equivalent experience in Engineering, preferably Electrical, Mechanical, or Chemical Engineering, will be considered in lieu of a Bachelor’s degree. An advanced degree or equivalent is a plus. A strong technical foundation will provide the vital expertise for this role.

• MBA or demonstrated financial expertise through proven experience. Ability to apply financial principles will be invaluable in driving efficiency and cost reduction.

• 15+ yrs of relevant experience in semiconductor operations, with a preference for fab environments (e.g., TSMC, UMC). Previous experience in the semiconductor industry will ensure a smooth transition into this role. Knowledge of advanced packaging processes is a major plus.

• Strong analytical and problem-solving skills, with the ability to make data-driven decisions.

• Strong leadership and team management skills, with a record of successfully leading cross-functional teams. Encouraging and motivating teams will be critical in achieving our goals.

• Excellent communication and interpersonal skills, with a proven ability to collaborate effectively with individuals both inside and outside the organization. An ability to connect with others will be key in building and sustaining successful partnerships.

• Expertise in supply chain management, production planning, and logistics within the semiconductor industry. Possessing a deep understanding of these areas is crucial for improving our operations.

Ways to stand out from the crowd:

• Familiarity with collaborator companies in semiconductor manufacturing. Existing relationships will provide a strong foundation for success in this role.

• Forward-thinking with the ability to plan for future opportunities. Proactive approaches will help us prepare for upcoming developments in our operations.

• Strong project management and negotiation skills. Ability to manage projects and negotiate agreements effectively will be highly valued.

• Familiarity with industry trends, market conditions, and competitive landscape.

• Consistent track record of driving operational excellence and continuous improvement. A sustained history of delivering outstanding results will set you apart.

What you will be doing:

• Lead design and development of cutting-edge end-to-end reference system stack for 5G/6G baseband system.

• Developing and integrating modules like PDCP, RLC, MAC for 5G/6G air interface and L3 control plane.

• Work in lab environment to trouble-shoot and integrate complex software modules!

• Develop software, implementing new functions in C/C++/Python/CUDA in a multi-core environment.

• Support system integration, performance testing, system demonstration and lab trials for end-to-end system.

• Engage with customer field trials and technical teams.

• Be a technical bridge between engineering team and partners/customers engineering team!

• Help in implementing missing features to unblock progress at customers/partners.

What we need to see:

• 8+ years of LTE/5G network system experience focused on Radio Access Network.

• Bachelor’s or Master degree in electrical or computer science or related field (or equivalent experience).

• We are seeking candidates with end to end RAN integration knowledge.

• Experience in building RAN products like baseband system (eNB or gNB).

• Experience with cloud RAN, software defined networking, 5G macro and small cell deployments.

• Familiar with NFV, software virtualization, VM, containers and VNF’s.

• We seek experience in integrating with 5G NG and EPC cores.

• Experience in integrating with PHY layer.

• Direct experience in development, integration and testing of BBU functions like PHY, MAC, Scheduler, RLC, PDCP and RRC.

• Proficient in developing code using C/C++ on Linux based platform.

What you'll be doing:

• Enhance and maintain current-generation infrastructure and tools, addressing the needs of our customers for better platform capabilities, performance, and stability.

• Support partners in the development and deployment of their streaming experiences.

• Deploy various services and oversee their reliability and security.

• Write effective, clear and reliable architecture requirements and design specifications.

• Work closely and simultaneously with multiple NVIDIA expert teams around the world.

What we need to see:

• B.Sc./M.Sc. degree in Computer Science, Computer Engineering (or equivalent experience).

• 10+ years experience as a Full-Stack Software Developer.

• Broad knowledge and understanding of networking protocols and common network topologies, with a deep understanding of Cloud-based audio and video streaming.

• Hands-on cloud virtualization, networking, and orchestration experience.

• A combination of React, Javascript, Typescript, C/C++, Python or Go programming skills.

• Willingness to be full-stack across both frontend and backend is a must.

• Ability to understand customer needs and translate them into functional and user experience enhancements.

• Hands-on Linux development experience.

• Strong design, coding, analytical, debugging, and problem-solving skills.

• Excellent communication, documentation, and presentation skills.

Ways to stand out from a crowd:

• Background with data center technologies, network topologies and Cloud.

• Experience with Docker, Containers, Kubernetes components & subsystems.

• Experience with Proton and other virtualization technologies.

• Good understanding of operating systems and drivers.

• Experience developing and deploying deep-learning models: LLMs, text-to-speech, and more.

What you’ll be doing:

• Design, build, and run cloud infrastructure services in scope to meet our business goals performing integrations, migrations, bringups, updates, and decommissions as necessary.

• Participate in the definition of our internal facing service level objectives and error budgets as part of our overall observability strategy.

• Eliminate toil or automate it where the ROI of building and maintaining automation is worth it.

• Practice sustainable blameless incident prevention and incident response while being a member of an on-call rotation.

• Consult with and provide consultation for peer teams on systems design best practices.

• Participate in a supportive culture of values-driven introspection, communication, and self-organization

What we need to see:

• Proficiency in one or more of the following programming languages: Python or Go

• BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience.

• 5+ years of relevant experience in infrastructure and fleet management engineering.

• Experience with infrastructure automation and distributed systems design developing tools for running large scale private or public cloud systems at scales requiring fully automated management and under active customer consumption in production.

• A track record demonstrating a mix of initiating your own projects, convincing others to collaborate with you, and collaborating well on projects initiated by others.

• In-depth knowledge in one or more of the following: Linux, Slurm, Kubernetes, Local and Distributed Storage, and Systems Networking.

Ways to stand out from the crowd:

• Demonstrating a systematic problem-solving approach, coupled with clear communication skills and a willingness to take ownership and get results such as experience driving a build / reuse / buy decision.

• Experience working with or developing bare metal as a service (BMaaS) associated systems. For example, vending BMaaS, or Slurm running on containers, or vending Kubernetes clusters. Experience working with or developing multi-cloud infrastructure services. Experience teaching reliability engineering (e.g. SRE) and/or other scale-oriented cloud systems practices to peers and/or other companies (e.g. CRE). Experience in running private or public cloud systems based on one or more of Kubernetes, OpenStack, Docker or Slurm.

• Experience with accelerated compute and communications technologies such BlueField Networking, Infiniband topologies, NVMesh, and/or the NVIDIA Collective Communication Library (NCCL).

• Experience working with a centralized security organization to prioritize and mitigate security risks. Prior experience in a ML/AI focused role or on a team matching specific keywords is welcome but not required.