דרושים » תוכנה » Senior Business Intelligence Analyst

Join the AI & Automation Supply Chain Business Transformations team in our Operations to architect the future of agentic AI at scale. We Implement AI agents to transform employee productivity and accelerate business impact. As the senior systems architect in Operations, you implement our vision for codifying our decision logics, decision intelligence, AI agent design, build and deployment, integration, security, and lifecycle management, ensuring the AI Agents delivers value that are trusted, scalable, and innovative. This is a rare opportunity to define the AI agents for Supply Chain Operations inside one of the worlds most advanced AI companies. If you thrive at the intersection of AI innovation, and Supply Chain transformation, join us and make your mark on the future of agentic AI.

What you will be doing:

Capture business requirements, translate requirements into functional design, user stories, technical design, drive end to end integration testing, support data set up and issue remediation during UAT, manage development team activities, develop hypercare support model

Define and architect AI agents for Supply Chain use cases, using the right frameworks, multi-agent coordination, RAG, deployment, monitoring, and life cycle management.

Be hands on in quick proof of concepts development to demonstrate technical feasibility and implement enterprise grade Agentic Supply Chain solutions

Partner with Enterprise IT engineering, product, and research teams while evaluating LLMs, agentic frameworks, and our own NeMo technologies.

Ensure integration with enterprise IT and Operations data sources and Industrys best Agentic platforms with strong content security focus.

Drive architectural decisions across deployment models (on-prem, cloud, hybrid, containerized) to deliver scalable, reliable, and efficient solutions.

Lead design reviews, develop technical documentation, and guide developers in principles of architecture and code development.

Champion observability, monitoring, versioning, and telemetry to ensure trustworthy and auditable AI agents.

Influence Supply Chain Operations adoption of the platform by partnering with stakeholders across IT, supply chain and serve as a reference adopter providing feedback to strengthen our ecosystem.

We are seeking a highly skilled and proactive Senior Cyber Security Threat Intelligence (CTI) Analyst to join the Networking product security team. In this critical role, you will function as a key defender of the technologies powering the worlds largest AI clusters. You will act as the eyes and ears of our product security organization, conducting investigative research into sophisticated adversaries and translating complex threat data into actionable intelligence. This is a hands-on role where your insights will directly influence our defensive posture and help eliminate threats before they manifest in the core of global AI infrastructure.

What You Will Be Doing:

You will serve as the intelligence core of our team dedicated to identifying, analyzing, and mitigating threats against our products and ecosystem:

Lead deep-dive OSINT and WEBINT research to identify emerging threats, conducting intelligence collection and analysis that leads to clear, actionable mitigation recommendations.
Leverage scripting (Python, Bash, etc.) and Generative AI tools to automate intelligence collection, triage, and analysis workflows.
Analyze Advanced Persistent Threats (APTs) and sophisticated adversaries, collaborating with multi-functional teams to detect, track, and eliminate potential risks to our networking portfolio.
Apply extensive insight into cyber operation phases to map adversary behavior, anticipate future movements, and harden our product development lifecycle with adoption of security improvements.
Drive threat hunting methodologies, proactively searching for indicators of compromise (IoCs) and hidden vulnerabilities within the products.
Translate complex technical findings into strategic intelligence reports for both technical collaborators and leadership, ensuring a clear and unified insight into the threat landscape.
Collaborate closely with incident response and engineering teams to ensure intelligence findings are seamlessly coordinated into other defensive tools and product security processes.

We are looking for a creative and experienced Senior Firmware Engineer to join our PCIe Firmware team-someone passionate about using artificial intelligence to engineer the foundational hardware of the AI revolution.

As an integral part of our team, you'll architect and implement the core of our next-generation devices. This senior role places you at the center of innovation, where you will have a direct impact on our business and technology by solving sophisticated technical challenges. Its a unique opportunity to shape our technology and empower customers to build the supercomputers and AI fabrics of tomorrow.

What You'll Be Doing:
Lead the architectural design, development, and optimization of cutting-edge PCIe firmware, using AI-driven modeling and insights to deliver exceptional performance.

Serve as a trusted technical expert by investigating, debugging, and resolving challenging PCIe firmware issues for our most important customers.

Collaborate closely with our Chip Design, Verification, Software, and Architecture engineers to find root causes and develop robust, long-term solutions.

Champion the integration of AI-assisted diagnostics and generative AI tools across the entire development lifecycle to boost team productivity and innovation.

Translate customer needs and field data into actionable feedback that directly shapes the future of our products.

We are looking for an AI Test Architect joining E2E Verification group to profile Innovative large scale Distributed training on NVIDIA AI End-to-End solutions in a large scale supercomputing clusters. Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated Computing and Deep Learning software and hardware platforms, with researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, Switch, HCA, CPU and GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What youll be doing:

Profiling, benchmarking, and analyzing deep learning models to identify areas for optimization and improvement in terms of performance, efficiency, and accuracy, with a strong emphasis on networking aspects.

Collaborating closely with data scientists, researchers, development, automation teams to design and implement scalable training pipelines and frameworks that demonstrate large scale high -performance networking capabilities.

Staying up-to-date with the latest advancements in deep learning algorithms, architectures, NVIDIA GPU technologies, and high-performance networking solutions.

Optimizing deep learning models for performance, memory usage, and power efficiency while maximizing high-performance networking features on NVIDIA supercomputers.

Providing insights and recommendations based on the analysis of large-scale training results, specifically focusing on networking bottlenecks and optimizations, to improve model outcomes and achieve business objectives.

Collaborating with hardware engineers to guide the development and integration of efficient networking solutions for deep learning, including exploring network architecture optimizations and bringing to bear technologies such as RDMA or InfiniBand.

Join NVIDIA's outstanding team and contribute to our legacy of innovation in the Senior Quality Data Analyst Engineer role! At NVIDIA, we are dedicated to pushing the boundaries of pioneering technology. The Senior Data Analyst Engineer will lead advanced data analysis and optimization for networking products in mass production. The successful candidate will leverage technical expertise and manufacturing experience to deliver actionable insights from complex datasets.

What you'll be doing:

Develop automated dashboards, KPIs, and reports to monitor production health, yield, test results, quality trends and customers satisfaction indicators

Identify and drive root cause analysis of anomalies or degradations in key metrics (yield loss, reliability issues, field returns, customers complaints).

Collaborate with cross-functional teams in different time zones (such as Manufacturing, Test Engineering, R&D, Quality and Sales).

We are looking for an AI Test Architect joining E2E Verification group to profile Innovative large scale Distributed training on our AI End-to-End solutions in a large scale supercomputing clusters. Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated Computing and Deep Learning software and hardware platforms, with researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, Switch, HCA, CPU and GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What youll be doing:

Profiling, benchmarking, and analyzing deep learning models to identify areas for optimization and improvement in terms of performance, efficiency, and accuracy, with a strong emphasis on networking aspects.

Collaborating closely with data scientists, researchers, development, automation teams to design and implement scalable training pipelines and frameworks that demonstrate large scale high -performance networking capabilities.

Staying up-to-date with the latest advancements in deep learning algorithms, architectures, our GPU technologies, and high-performance networking solutions.

Optimizing deep learning models for performance, memory usage, and power efficiency while maximizing high-performance networking features on our supercomputers.

Providing insights and recommendations based on the analysis of large-scale training results, specifically focusing on networking bottlenecks and optimizations, to improve model outcomes and achieve business objectives.

Collaborating with hardware engineers to guide the development and integration of efficient networking solutions for deep learning, including exploring network architecture optimizations and bringing to bear technologies such as RDMA or InfiniBand.

We are looking for a versatile Senior Software Engineer to join our DPU Platform team. This is an opportunity to make a significant impact in a technology-driven company that powers the worlds most advanced data centers. You will use your expertise in low-level embedded Linux software and boot flows to work with global development teams, solving the complex challenges involved in delivering high-power computing platforms.

What you'll be doing:

Designing and developing low-level system software with a primary focus on bootloaders (ATF, UEFI), firmware, and hardware initialization.

Working together with hardware and design teams to drive SoC bring-up and platform enablement.

Solving complex challenges related to boot sequences, system optimization, and hardware resource management.

Supporting various internal and customer DPU projects alongside our global teams.

Taking part in all stages of the product lifecycle, with a focus on high software quality and stability.

Collaborating within a global software environment to have a broad impact across the company.

We seek a highly motivated and experienced System Architect specializing in Data-Center, AI Fabric, and Ethernet Networking to join our team of experts and help shape the future of high-performance ML/AI computing. You will have the opportunity to work on some of the most pioneering technologies and help drive the innovation of our next-generation networks. You will play a key role in defining end-to-end solutions, networking protocols and features, interworking with orchestration systems, and help address new business opportunities in exciting areas. Our Architects also represent us in open-source projects, technical conferences, and standard development organizations.

What you'll be doing:

Explore new technologies and end-to-end solutions for our Ethernet Networking Platforms.

Be familiar with data-center and AI fabric network topologies, AI/ML clusters operation and network usage, as well as with the Ethernet Switch platforms' design and characteristics.

Define robust architectures and technical requirements for network operating systems and end-to-end solution offering for AI/ML workloads' needs and highly performing network operations.

Lead the work with R&D and Validation teams, providing technical guidelines and close support and thorough reviews for detailed designs and test plans.

Collaboration with architects across various fields, including Chip Design, Firmware, Hardware Platforms, and System teams.

Close work with product marketing, program managers, and account managers to ensure the successful execution of projects.

Support engagements with key customers, issue patents, publish white papers and blogs, and be proactive in technical forums and industry working groups.

Promote innovation through the design and implementation of Proof-of-Concept (PoC).

We are searching for a forward-thinking Software Engineer to join our VLSI Design Automation Infrastructure team. We are looking for a candidate who looks beyond traditional scripting and is eager to leverage Artificial Intelligence and Machine Learning to revolutionize how we build chips.

In this role, you will manage high-performance compute and storage environments while pioneering the integration of AI-driven tools into our workflows. You wont just maintain the infrastructure; you will modernize it-using LLMs to optimize code, ML to predict compute bottlenecks, and intelligent automation to streamline the backend networking team's success.

What youll be doing:

AI-Driven Optimization: Leverage AI/ML methodologies to analyze compute and storage patterns, predicting resource needs and optimizing LSF grid performance.

Next-Gen Tooling: Design and develop intelligent scripts and automation tools, integrating Generative AI (LLMs) to accelerate debugging and workflow generation.

Infrastructure Management: oversee complex On-Prem environments (LSF) and storage solutions, ensuring maximum uptime for critical VLSI projects.

Data Visualization: Build dynamic, data-driven dashboards that not only report status but utilize analytics to provide actionable insights on infrastructure health.

We are seeking a creative and talented Software Engineer to join our team. In this role, you will be responsible for developing next-generation AI-based tools to revolutionize the efficiency and productivity of our R&D processes.

You will join a team dedicated to solving complex engineering challenges by integrating intelligent solutions into our workflow. You will collaborate with internal AI initiatives, leverage our cutting-edge internal AI infrastructure, and utilize both internal and external models to build the engineering ecosystem of the future. If you are a developer with a strong Computer Science foundation and a deep passion for Generative AI and Large Language Models (LLMs), we encourage you to apply.

What you will be doing:

Design and develop AI-powered software tools and automation aimed at dramatically improving engineering productivity.

Implement advanced AI workflows, such as Retrieval-Augmented Generation (RAG) and intelligent assistants, to solve real-world development problems.

Collaborate with cross-functional teams and internal AI initiatives to identify bottlenecks and translate them into scalable solutions.

Work hands-on with internal and external AI models (LLMs), orchestrating them to deliver high-quality, reliable outputs.

Stay up-to-date with the rapidly evolving landscape of AI to continuously optimize our tools and methodologies.