NVIDIA

AI Engineer

• Collaborate with software and hardware teams to identify high-impact opportunities for applying agentic AI technologies.
• Lead the design, development, and optimization of agentic AI solutions that address challenges in performance, quality and productivity.
• Develop and maintain agentic AI benchmarks to evaluate performance across diverse use cases.

Senior Agentic AI Engineer

Mechanical Engineer

• Craft and implement memory management for NVIDIA's GeForce and Tesla products.
• Collaborate with other teams to make the most efficient and highest bandwidth memory system.
• Write and debug RTL code.
• Drive synthesis tools, close timing and perform power analysis of memory system functional blocks.
• Help develop products for the desktop, laptop, workstation.

ASIC Design Engineer, New College Grad

Business Development Rep

• Refine and implement the current Intelligent Stores strategy to expand the business to billions of dollars.
• Develop a programmatic strategy to grow NVIDIA’s expanding ISV and partner ecosystem.
• Collaborate with the Developer Relations team and put in place the promote and co-sell process after Dev Rels accelerate and integrate the NVIDIA stack into ISVs' platforms.
• Collaborate closely with the technical group of solution engineers alongside select key reference accounts to showcase proof of AI business benefits.
• Work together with the field sales organization to increase revenue.
• Work closely with senior leaders and various internal groups, including engineering, marketing, product, and sales, as well as external partners like channel, OEM, and technology to develop and refine scalable GTM strategies for Intelligent Stores.
• Drive the execution of innovative, complex global programs, with a focus on multi-year, multi-region initiatives and cross-functional leadership, including promotional efforts in collaboration with marketing.
• Infuse customer insights to build product direction and market evolution—using thought leadership and cross-functional influence to generate measurable results.
• Negotiate impactful business alliances and Provide strategic support for sales execution.
• Aim to make GTC the breakthrough for celebrating achievements through customer and ecosystem announcements, speaking sessions and keynote support.

Director, Business Development – Retail Intelligent Stores

Engineer

• Participate in micro-architecture development and document specifications
• Build System Verilog UVM verification environments for IPs in areas of crypto and Risc-V platforms
• Build verification and test plans to get to complete coverage
• Work with the designers in our team to debug and clean all bugs
• Deliver the IPs to higher level verification like Cluster, FC and emulation

Senior ASIC Verification Engineer

AI Research Scientist

• Research, design and accelerate novel generative AI models on NVIDIA GPUs
• Publish original research
• Collaborate with other team members and teams
• Mentor interns
• Speak at conferences and events
• Transfer technology to product groups
• Collaborate with external researchers outside NVIDIA

• Drive advanced development and POCs for AI infrastructure solutions in cutting-edge AI networks, integrating innovative software and hardware.
• Demonstrate team architectural concepts with larger NVIDIA AI software stacks.
• Work closely with various groups within NVIDIA to bring AI network technologies to reality, including GPU and Switch HW and SW teams, Product as well as fellow architects.

Advanced Development Engineer, GPU Networking

Full-stack Engineer

• Investigating, crafting, and implementing new protocols and algorithms
• Developing high-performance communication frameworks for the largest AI clusters
• Collaborating with networking chip design teams in co-designing new hardware features and software APIs

Senior AI Networking Software Engineer

Systems Engineer

• Build, configure, and deploy Demand Planning solutions in SAP IBP to support global demand forecasting and consensus planning processes.
• Configure planning levels, key figures, time profiles, and master data attributes to enable scalable demand planning models.
• Implement demand planning workflows integrating Sales and Supply Chain teams.
• Design and handle integrations between demand intake platforms (Anaplan) and SAP IBP Demand Planning, ensuring accurate demand signal capture, automated data flows, and alignment with enterprise demand planning processes.
• Build statistical forecasting models including seasonal, trend-based, and intermittent demand models.
• Configure machine learning forecasting algorithms to increase forecast accuracy and improve demand signal analysis.
• Develop and maintain forecast model selection and parameter optimization strategies.
• Leverage Generative AI insights via SAP Joule to analyze forecast results and recommend improvements.
• Develop dashboards and reporting on demand performance analytics.
• Configure short-term demand sensing capabilities by using real-time signals such as orders, shipments, and point-of-sale data.
• Improve near-term forecast accuracy through data-driven adjustments.
• Configure and support lifecycle planning and new product forecasting by using reference products and attribute-based modeling.
• Enable seamless transition from product launch to steady-state demand planning.
• Apply ABC/XYZ segmentation models to categorize products based on revenue contribution and demand volatility.
• Define differentiated planning strategies for various demand segments.
• Configure demand prioritization rules.
• Develop what-if scenarios and simulations to analyze impacts of demand fluctuations, promotions, and supply constraints.
• Support business decision-making with scenario-based planning.
• Implement outlier detection, data cleansing, and forecast error monitoring.
• Track forecast accuracy using metrics such as MAPE, bias, and Added Forecast Value (FVA).
• Integrate SAP IBP with ERP platforms like SAP S/4HANA and SAP ERP Central Component (ECC).

Senior Business Systems Analyst, SAP IBP Demand Planning

Designer

• Join Beer-Sheva group, working on RiscV processors platform
• Verification for chip blocks according to specifications under challenging constraints and with high orientation to power, area and performance
• Daily work might involve any or all aspects of chip development including verification, integration, debug
• Work closely with firmware and other groups around the globe

Senior Chip Design Verification Engineer

Architect

• Build, implement, and optimize GPU communication kernels that underpin collective and point-to-point operations in large-scale AI systems.
• Leverage deep knowledge of GPU architecture—thread scheduling, memory hierarchy, execution pipelines—to improve kernel efficiency, minimize latency, and overlap computation with communication.
• Develop GPU-resident communication primitives and device-side APIs that enable fine-grained, kernel-initiated data movement across nodes and accelerators.
• Profile and tune GPU kernels end-to-end, identifying bottlenecks at the intersection of compute, memory, and network, and driving targeted optimizations.
• Collaborate with network software, hardware, and AI framework teams to co-design communication strategies that align with GPU execution patterns and emerging model architectures.
• Build proofs-of-concept, conduct experiments, and perform quantitative modeling to evaluate and validate new communication strategies before committing them to production.
• Contribute to the evolution of programming models that expose GPU-aware networking capabilities to application developers.

Senior GPU Networking Architect

• Design and configure SAP IBP characteristics-based planning models to support complex, multi-dimensional planning across product hierarchies, device categories, manufacturing plants, and distribution centers
• Ensure deployment planning complies with enterprise supply chain policies, regulatory requirements, and product allocation guidelines
• Translate complex business rules and operational constraints into scalable IBP planning configurations and optimizer parameters
• Implement fair-share logic and inventory optimization strategies to manage shortages and balance network inventory
• Support multi-echelon inventory optimization (MEIO) and network design initiatives
• Drive system design analysis, testing, and training
• Manage end-to-end system lifecycle activities including design, configuration, testing, deployment, user training, and system upgrades
• Ensure accurate integration and monitoring of master and transactional data from SAP S/4HANA, including transportation lanes and sourcing rules
• Conduct scenario simulations and what-if analyses to evaluate capacity constraints and improve distribution strategies
• Provide ongoing application support and troubleshooting across SAP IBP and SAP S/4HANA environments

Senior IBP Distribution Planning Business Systems Analyst

• Work closely with developers to design, implement and execute unit, functional, and performance tests for new components
• Develop a verification environment and infrastructure in C/C++/Python to validate product functionality and performance
• Analyse coverage measures to identify verification gaps and to show progress toward product development and releases
• Write all types of coverage measures for test scenarios and corner cases
• Take end-to-end ownership of system and software verification using advanced verification methodologies.

Senior Software Verification Engineer

• In charge of state of the art Design for Test/ATPG flows and implementation
• Take ownership end to end on a project, from Arch & planning to implementation, verification and post Silicon bring up.
• Inventing and maintaining automation flows that provide the short test time to production

Senior DFT Engineer

• Develop Autonomous AI agents contributing to next-generation GPU System SW stack and tools
• Collaborate cross-functionally with product, engineering, and research teams
• Build architectures, best practices, and solution patterns for deploying AI agents

System Software Engineer, GPU

DevOps Engineer

• Develop and maintain robust CI/CD pipelines to ensure flawless integration and delivery of software
• Collaborate with multi-functional teams to improve the efficiency and reliability of build systems
• Monitor and optimize system and build performance, ensuring flawless operation
• Implement and manage containerization and orchestration tools like Docker and Kubernetes to streamline development workflows
• Diagnose and resolve complex issues, ensuring the stability and performance of our environments.