Senior Memory Circuit Design Verification Engineer Jobs

We're Hiring Senior AI Engineer (Generative AI Azure) Remote Immediate Joiners Preferred Salary: Up to 12 LPA We are seeking an experienced Senior AI Engineer to design, develop, and deploy enterprise-grade Generative AI solutions on Microsoft Azure. The ideal candidate will have strong expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), Azure AI Services, and modern AI engineering practices. Technical Summary • AI & LLMs: Azure OpenAI, GPT-4.x, OpenAI, Prompt Engineering, Prompt Chaining, Function Calling, Structured Outputs, Tool Calling, JSON Schema, Model Evaluation, Guardrails, Fine-tuning Concepts • Agentic AI: Multi-step Reasoning, Planning, Memory Management, Tool Orchestration, Multi-Agent Systems, Human-in-the-Loop Workflows, Reflection, Context Management, AI Observability • Frameworks: Semantic Kernel, LangChain, LangGraph, AutoGen, Azure AI Agent Service • RAG & MCP: Retrieval-Augmented Generation, Vector Search, Semantic Search, Hybrid Search, Embeddings, Knowledge Grounding, Citation Generation, Document Ingestion, Chunking, MCP Architecture, MCP Servers & Clients • Azure Technologies: Azure AI Foundry, Azure AI Search, Azure AI Document Intelligence, Azure Machine Learning, Azure Functions, API Management, Logic Apps, App Service, Container Apps, AKS, Azure Storage, Data Lake Gen2, Azure Key Vault, Azure Entra ID, Azure Monitor, Application Insights, Event Grid, Service Bus • Programming & DevOps: Python, C#, REST APIs, FastAPI, ASP.NET Core, JSON, YAML, Git, Azure DevOps, Docker, Kubernetes • Data Platforms: SQL Server, Azure SQL, PostgreSQL, Cosmos DB, Snowflake, Microsoft Fabric, Azure Databricks, Delta Lake, Vector Databases (Azure AI Search, Pinecone, Weaviate, Milvus, Qdrant) • Security & Governance: Responsible AI, Prompt Injection Prevention, RBAC, Content Filtering, Data Privacy, GDPR, ISO 27001, Azure Key Vault, Audit Logging & Monitoring • Nice to Have: Microsoft Copilo

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As the Operations Central Team (OCT) Dry Etch Tool Installation Qualification (TIQ) Engineer at Micron Technology, Inc., you will be building growth mindset, facilitate and drive improvement on Micron TIQ engineering globally, driving global business processes, and enabling the leverage of world-wide resources to deliver industry benchmark methods. And you are also responsible for leading the activities to achieve the Best in Class (BIC) TIQ performance (cost and schedule) across the network and industry. You are encouraged to work closely with the key partners (sites, central team partners and suppliers) to identify areas of opportunities and analyze their performance-to-plan data to improve TIQ performance. Micron is attracting the diversified and dedicated candidate to build innovative solution for all aspects. Responsibilities As a Principal Engineer, Dry Etch Tool Installation Qualification for OCT, you will be considered an area domain expert in Dry Etch and will work as a site partner with Micron FABs globally and supplier partner with suppliers. • Understand short-term and long-term Cost goals within Front End and ensure alignment to corporate business goals. Initiate and drive across function programs to achieve department business goals • Facilitate the definition of program scope, goals, deliverables, timeline and resource requirements in collaboration with sponsors and partners • Manage the definition, refinement, and implementation of core methodologies and tools for bus

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a TCAD Engineer in the DRAM Device Technology group at Micron Technology, Inc., you will work with an industry-leading team to model, simulate, and understand advanced semiconductor devices and processes for future memory products. You will be responsible for physics-based device simulation, supporting technology development by providing quantitative insight into device behavior, variability, and reliability through TCAD tools. Responsibilities and Tasks Develop and apply TCAD simulations to analyze advanced semiconductor devices including DRAM access devices, CMOS devices, diodes, and resistive elements. Build 2D/3D device structures, define physical models (transport, recombination, traps, mobility, quantum effects, etc.), and perform parametric studies to support device and process development. Correlate TCAD simulation results with electrical characterization data to clarify physical mechanisms behind performance, variability, and reliability trends. Investigate impacts of process variations, material properties, defects, and interface states on device characteristics. Support development teams

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a Senior GPU Networking Architect to join our networking software group, bringing strong GPU architecture and programming skills to build and improve GPU communication kernels. This role links GPU computing with networking by making sure communication primitives are carefully developed alongside GPU hardware capabilities. Join our team of engineers developing the software foundation for the largest AI systems globally. What you will be doing: 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 commun

Work Flexibility: Onsite What You Will Do: We are seeking a highly experienced and hands-on Senior Staff Acoustic Hardware Engineer to help develop the next generation of Smart Care products and reshape the Smart Hospital experience in critical care environments In this role, you will lead the design, integration, and optimization of acoustic, audio, and hardware systems for handheld, battery-powered products. You will collaborate with internal engineering teams, suppliers, and Joint Design Manufacturer (JDM) partners to deliver innovative, reliable, and manufacturable products. Lead acoustic and audio hardware development across the full product lifecycle, from concept and architecture through design, validation, production launch, sustaining, and end-of-life. Define, design, and optimize audio and acoustic architectures, including microphones, speakers, amplifiers, codecs, and associated audio signal paths. Perform acoustic characterization, testing, tuning, and performance optimization at the component, subsystem, and product levels. Drive hardware development and integration across audio, battery and charging, power management, sensors, touchscreen, processors, memory, and related subsystems. Provide technical leadership to JDM engineering teams, including board-level design, implementation, integration, debugging, schematic review, component selection, PCB layout, and design documentation. Develop comprehensive hardware and acoustic requirements, specifications, interface definitions, validation criteria, and verification and validation plans. Lead prototype bring-up, system characterization, debugging, and root-cause analysis of complex acoustic, electrical, and system-le

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Summary: Micron Yield Improvement Failure Analysis Shift Technician that performs Electrical and Physical Failure Analysis (EFA/PFA) investigative work for defect issues identified by YE and Fab customers. Monitors recently probed material and categorizes dead die into known defect issue categories and investigates new or unknown defect issues. This position requires a strong sense of responsibility and passion, reflecting Micron’s core values: People, Innovation, Tenacity, Teamwork, and Customer Focus. Responsibilities: Performs initial data analysis on new issues, conducts failure analysis, documents findings, and summarizes investigation results—including potential root cause—into a single report for stakeholders. Efficiently operates all lab equipment in compliance with safety guidelines, with a strong understanding of equipment functionality and ability to perform basic troubleshooting. Supports Company and Department Objectives Works to support company and department objectives and vision plans Open to suggesting new ideas and participates in projects and teams in support of department and company objectives Minimum Requirements: Associates degree in Electronics, AC/DC Electronics Technology or equivalent Flexibility to work 12-hour shifts (3 on/4 off and 4 on/3 off) and be willing to move to different shifts and work overtime to support business operations. The ability to always wear lab-specific clean room garme

We are looking for a Sr. Engineer to design, build, and scale the infrastructure powering NVIDIA’s AI agent ecosystem. You will work at the intersection of distributed systems, developer platforms, and agentic AI — building the foundational services that enable teams across the company to develop, deploy, orchestrate, and operate autonomous AI agents at production scale. What you will be doing: Build and develop platform services that manage the full agent lifecycle from registration through deployment, execution, and teardown Architect multi-tenant Kubernetes execution environments with pod lifecycle management, per-tenant namespace isolation, persistent storage, admission policy enforcement, and identity propagation Develop and maintain automated CI/CD pipelines using GitLab CI and ArgoCD, including reusable pipeline templates and deployment blueprints that standardize how agents are built across teams Build framework-agnostic infrastructure supporting multiple agent SDKs and harnesses — lifecycle hooks, skills configuration, memory services, and OTEL instrumentation — so teams can onboard new agent frameworks without platform changes Build and operate Kafka-based message pipelines and real-time event streaming using Redis PubSub and SSE Develop data ingestion pipelines, access interfaces, and storage layers that power AI agent knowledge and context Implement session management for state persistence, conversation history, and agent recovery across sessions Develop multi-layer auth using OAuth 2.0, JWT validation, token exchange, and gateway integration, and manage secrets lifecycle with Vault (provisioning, rotation, container injection) Partner with security teams on compliance, access controls, and approval workflows for agent operations What we need to see: Bachelor's or Master's degree in Computer Science, Engineering, or

NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. NVIDIA data center systems have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA Networking, NVIDIA Data Center CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are seeking an excellent Senior System Engineer to work on bring up, integration, validation and troubleshooting for compute tray platforms of GPU Racks — ensuring servers are fully functional and validated as per requirement before mass deployment in data centers. What you’ll be doing: Working with a global team of architects and developers on NVIDIA AI server system (CPU, GPU, Memory, NIC, PCIe, NVMe SSD, Cooling, etc.) designs. Working closely with hardware teams to influence hardware system design, reviewing schematics and board design to ensure speed of light execution. Using simulation and emulation to left-shift early design and initiate new concepts and innovations. Hands on debug and support of early server prototypes bring-up and power on test debug in datacenter system labs. Factory and Manufacturing support: Support manufacturing flows, firmware updates, and diagnostic procedures. Ensure BOM change signoff and proc

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work , to amplify human imagination and intelligence. Make the choice to join us today. Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most complex semiconductor chips. What you'll be doing: As a member in our team, you will own and work with cross functional teams, implementing state-of-the-art designs in test access mechanisms, IO BIST, memory BIST and scan compression. In addition, you will help develop and deploy DFT methodologies for our next generation products. You will have the chance to define, prototype and deploy next generation DFX architectures and methodologies across all our products. This includes high speed test access architectures, the in-system-test architecture, ISO26262 functional safety diagnostic for in-field testing and beyond, silicon debug & bring-up, productization, and silicon life-cycle management among others As a member on our DFX Architecture team, your responsibility will be to craft key DFX architecture and methodologies to meet system level safety diagnostic test quality, in-field test quality, advanced defect screening and diagnosis to enable SLM for automotive, industrial, and robotics safety platforms etc. Collaborate with multi-functional teams like system architecture, chip architecture, ASIC design, verification, CAD, VLSI,

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Senior Software Engineer Opportunity The team that built Jeeva AI is building Digital Workers, a new suite of autonomous agents for identity operations and security inside Okta. The team works directly with Todd McKinnon, Okta's co-founder and CEO, with the opportunity to bring this product to Okta's 20,000+ customers. You will help shape the product with the ownership and pace of a startup and the resources of a public company. You will build the harnesses and evaluations that make these workers reliable. They investigate risk, use tools, wait for approvals and complete tasks across enterprise systems. Bring depth in agent execution or model quality and help turn it into working software customers can trust. About You Production builder: You have shipped AI software and know what changes when real users depend on it. Careful evaluator: You investigate failures and use evidence to judge quality. Strong owner: You follow an improvement through code, evaluation, release and customer use. What you will be doing Build the agent harness for planning, tool use, memory, context compaction, interruption and recovery during long-running work. Integrate OpenAI and Anthropic model APIs. Select models using measured quality, latency and cost, with clear failure handling. Evaluate existing harnesses and build only the missing pieces. Keep the harness connected to AWS workflow execution and approval state. Keep authorization and sensitive writes behind application po

NVIDIA's Automotive Offensive Security team believes the best defense is a good offense. Securing a sophisticated automotive operating system means finding vulnerabilities then building the tooling needed to find them at scale. We're looking for a senior engineer who can break low-level systems and then automate the insights gained from doing so into reusable security capabilities. What you'll be doing: You'll discover and evaluate vulnerabilities on both source code and binaries, focusing on low-level technologies such as OS kernels, Hypervisor, boot ROMs, firmware, and hardware. More than just bug finding, you'll develop and build automation to scale your work. This includes security pipelines, fuzzing infrastructure, AI-assisted vulnerability discovery, tools for automated code inspection, and code conversion. You'll work closely with security researchers and engineers, owning tool development - from prototype to production - for use across the software organization What we need to see : 7+ years of hands on programming experience, particularly with C/C++. Python and memory safe language (e.g. Rust, Ada/SPARK) proficiency a plus. B.S. or equivalent experience in Computer Science or a related field. Strong low-level systems security background: OS internals, kernels, hypervisors, firmware, or hardware; applying an analytical approach dissecting the functionality of intricate software and identifying security flaws. Experience with embe

Want to help us chart a course toward the future of the data center? We are seeking a world-class Technical Product Manager to define and build the next generation of NVIDIA's Accelerated Computing platforms. If you are passionate about technology products, have experience with data center technology and servers, and have been looking for a role where you'll be able to stretch your system design, project management, and creative marketing muscles on the same day, this high visibility role offers an outstanding opportunity. What you will be doing: Working at the forefront of accelerator technology, and collaborating with our hardworking, collaborative and diverse team, at the cutting-edge intersection of hardware and software. Lead our Hardware SKUs and Help Define our Platforms Maintain specifications, features, and schedules for hardware SKUs while working with hardware partners on and end customers their resulting paths into the market. Own the definition, delivery, enablement, and scheduling of all the bits and bytes-- from modules and chips, to reference board samples and developer kits-- that let people build on NVIDIA. Partner with our platform team to drive system concepts to execution, including defining support for peripherals, GPUs, NICs, memory, cooling, and more. Develop delivery schedules, RMA policies, and other tightly coordinated plans critical to enabling a thriving hardware and partner ecosystem. Get The Right Things Built! Be our representative for the needs of a diverse range of customers from Enterprise and HPC to Cloud, through all phases of the platform lifecycle: requirements to production. Collaborate with various business units (Server, Networking, GPU) as well as end customers and OEMs to lead Plans of Record for platform delivery and associated collateral, feature requirements, compliance, and certification

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As an Engineering Project Management Engineer in Advanced Packaging Technology Development at Micron Technology, Inc., you will be responsible for leading and managing Micron’s Advanced Packaging Technology Development projects. Your role will focus on overseeing technology development operations across various TD and pre-NPI projects, ensuring that results are delivered on time and in line with APTD’s technology roadmap and commitments. This position requires a customer-obsessed leader who will play a key role in the planning and implementation of APTD builds. You will engage with internal customers and both internal and external stakeholders, working collaboratively to ensure successful and timely project handovers. Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Project/Program Management: Lead technology development programs and projects to deliver against defined go-to-market timelines. Align program- and project-level plans, dependencies, and deliverables to ensure timely, c

The Continuous Profiler team at Datadog is building a cutting-edge continuous profiling product that has low enough overhead to run continuously in production, unlocking insights into how customer applications perform under real workloads at scale. As AI reshapes software development and teams lose touch with how their code works and interacts with the hardware, this capability is becoming more essential than ever, for humans and AI alike. Today the information produced by our profilers is used for everything from automatic performance tuning to root cause analysis. As a distributed systems engineer on the profiling team, you will be contributing to the systems that intake, process, index, store and make sense of the data collected. You will be working with some of the best runtime engineers, visualization experts, data scientists and designers in the industry on challenging and fun problems. Together, we contribute to runtime ecosystems such as Go and tackle novel problems, from profiling asynchronous Python applications to helping customers solve memory leaks in their applications . At Datadog, we place value in our office culture: the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Help design, build and contribute to the core services making the profiling product possible, at a scale that is unusual even within Datadog. Participate in multi-disciplinary squads, and iterate with customers, to bring ideas all the way from early explorations to impactful product experiences. You will be responsible for your code from development to production, and meet ambitious SLO and quality gates. You will be working with many internal and external stakeholders, working on various ways to consume the profiling data, such as the UI, agentic tools, inter

About the Team Agentic Foundations, part of New Verticals ML, builds the core AI/ML intelligence that powers high-quality, scalable agents at DoorDash, and proves it through flagship agent experiences such as the Ask grocery assistant. We operate as a closed loop: new models, evals, and representations make our agents better, and real-world agent usage surfaces the gaps that drive our next foundations work. About the Role We’re looking for a Senior Machine Learning Engineer to join Agentic Foundations with a primary focus on Vertical Agent Development. You will own the continuous improvement of our flagship agents, starting with the Ask Assistant, using an eval-driven loop to make them faster, more cost-efficient, and more reliable for millions of customers. You will also help us bring this approach to new agentic experiences for Merchants and Dashers, turning promising ideas into production-ready agents. This is a chance to work at the intersection of LLMs, agents, post-training, and evals on problems that ship. You will partner closely with engineers working on agentic memory, agent-compatible product representations, and post-training of small language models (SLMs), so that what we learn from production agents feeds directly back into our foundations, and what we build there makes our agents better. You will report into the engineering lead on our New Verticals AI/ML team. We expect this role to be hybrid with some time in-office and some time remote. You’re excited about this opportunity because you will… Raise the quality of our Consumer agents: build and refine our eval harness-optimization loop to pinpoint failure modes, then iterate on prompts, tools, skills, and context, and measure the impact on real customer tasks. Find the best balance of quality, latency, and cost: run rigorous experiments, including fine-tuning open-weights models and deploying small language models (SLMs) where they can replace or augment larger LLMs. Launch new agents: take ag