System Design And Integration Engineer Jobs

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Overview We’re looking for a technically strong and user-focused Cloud QA Engineer to join our UniFi Cloud Service team. This role plays a key part in ensuring our cloud platform delivers a reliable, scalable, and seamless experience across distributed systems. The focus is on building scalable test systems, validating cloud services, APIs, and networking behaviors under real-world conditions, while continuously improving QA efficiency through automation and AI-assisted workflows. You’ll take ownership of end-to-end validation across cloud, backend, and networking layers, with strong emphasis on automation, system reliability, and quality at scale. Key Responsibilities Automation & AI-driven QA Design and implement automated test strategies across API, integration, and end-to-end flows Build and maintain automation frameworks (Python preferred) and integrate with CI/CD Leverage AI tools to generate test cases, improve automation, and debug issues Evaluate AI-generated outputs and improve QA efficiency through AI-assisted workflows End-to-End Validation Own validation across cloud services, APIs, networking, and distributed system interactions Cover service-to-service flows, data consistency, and failure handling Validate real-world scenarios including deployment, upgrade, connectivity, and long-running usage Perform load/stre

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 member of the HIG HBM Media Health HVM team, you will embody an outstanding approach to Next Generation HBM Product driven by important metrics: Quality, Cost, Cycle Time, and Scale. You will work closely with various teams within and outside of HBM to achieve strategic and operational goals. Key Responsibilities Optimized Test Coverage: Ensure optimized test coverage on all current and future HIG HBM design architectures and process nodes to maintain effectiveness and efficiency in high-volume manufacturing. Encouraging Innovation: Motivate innovation and inspire changes that will help Micron maintain a technical advantage over its competition, ensuring Micron’s competitive edge in the market. Product Development and Validation: Develop, validate, characterize, and qualify Micron’s next-generation HBM products, ensuring reliability and market readiness. Support for New Product Design Validation: Provide support for design verification and in-depth circuit analysis of new products using CAD tools and Verilog simulations. Yield Improvement and Cost Reduction: Improve manufacturing test yields, reduce test time, and resolve yield-related issues, contributing to cost reduction and meeting yield targets. Root Cause and Resolution of Qual and RMA Device Issues: Identify and resolve issues related to device qualification and return material authorization, ensuring product quality. Process Conversions and HVM: Recommen

Build the infrastructure that keeps every NVIDIA chip aligned from first spec to final shipment. NVIDIA's Silicon Co-Design Group sits at the convergence of architecture, silicon, systems, and manufacturing. The System–Manufacturing Architecture (SMAC) team coordinates between system specifications and manufacturing test specifications from pre-silicon POR through production release across GPU, SoC, and CPU programs. When that alignment drifts, silicon faces the consequences: escapes, yield loss, and performance loss. We're hiring a Senior Manufacturing & System Co-Design Workflow Engineer to lead the methodology and infrastructure that maintains holistic, systematic alignment, at scale across the full portfolio. The strongest candidates in this role design the workflow before being asked to fix a program, and build the checks and automation that confirm alignment holds long after they've moved on to the next problem. What you’ll be doing: SMAC Workflow Methodology: Define manufacturing spec types, including schema and semantics, derived from system PORs and features. Own the methodology that governs how specification work gets structured, versioned, and validated across the program lifecycle. Production Python Pipelines & Automated Checks: Develop production-grade Python pipelines and automated checks that catch specification drift between system POR and manufacturing test programs ,ATE, SLT, BLT, L10+, before silicon exposes the discrepancy. The goal is that misalignments surface in the workflow, not on the tester. E2E Program Integration & TPM Attestation: Wire SMAC work into the end-to-end program spine, milestones, gates, and artifacts, and define explicit TPM-driven attestation when checks lag. Alignment can't be assumed; it must be proven at every stage. Agent-Ready Tooling & CI Infrastructure: Integrate tooling into an agent-ready

NVIDIA's Silicon Co-design Group (SCG) sits at a rare intersection: we own the full product development lifecycle, from early architecture definition through silicon bringup to product release. Our ArchDev team is the hub for silicon and system-level feature development, driving tradeoff analysis, system integration, and POR alignment across the entire organization. If you want to see your work go from whiteboard to world-class silicon, this is where that happens. What You'll Be Doing: Architect and integrate system-level performance and power management features, controllers, and policies to optimize product efficiency across datacenter and client products . Build feature roadmaps to address low-power, low-noise, and performance-per-watt product needs through prototyping, use-case analysis, and cost/benefit trade-offs. Partner with architecture, ASIC, board/platform, software/firmware, and marketing teams to drive design decisions and debug complex issues. Track industry trends and market needs and translate them into forward-looking roadmaps that keep NVIDIA's products ahead of the curve. Lead debug efforts, develop workarounds, and support bringup , validation, manufacturing, and customer escalations. What We Need to See: <

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. Role summary We are seeking a Networking Operating System Firmware Engineer to help bootstrap and scale the switching layer of our AI supercomputers. In this role, you will build and maintain custom NOS images from scratch, using open source components from SONiC, SAI, FRR, and related networking stacks while working across the Linux kernel, switch ASIC SAI/SDKs, platform drivers, control-plane services, and orchestration layers. This is a software engineering role that requires a deep understanding of networking, NOS internals, switch hardware, and production systems. You will design, implement, test, and debug production NOS software across platform drivers, routing and control-plane state, ASIC programming, observability, and fleet integration. The engineer in this role should be able to work through ambiguous, open-ended technical problems and drive feature development across software, hardware, and vendor boundaries. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will Design, develop, and maintain custom NOS images for large-scale AI fabrics, using open source components from SONiC, FRR, and related networking stacks. Integrate, build and configure Linux kernel components, device drivers, switch ASIC SDKs, and SAI layers. Bring up new switch platforms, including thermal and fan control, power monitoring, transceiver management, watchdogs, OSFP CMIS, L

Job Details: Job Description: Position Overview As a Platform Hardware Design Engineer, you will provide technical leadership for the architecture, design, integration, bring-up, and validation of complex platform hardware. You will drive hardware development end-to-end, translating high level system requirements into detailed circuit and component specifications and leading designs from architecture and schematic development through PCB implementation, board power-on, debugging, validation, and delivery. You will be expected to make platform level technical decisions, resolve complex and ambiguous multidisciplinary problems, lead critical design reviews, drive cross-functional alignment, mentor engineers, and influence hardware development practices across projects. Our Business Group You will be joining the Silicon and Platform Engineering Group (SPE), an organization at Intel committed to advancing Intel's mission of delivering world-class silicon and platform solutions. The group focuses on developing integrated systems that align with customer needs and support Intel's broader goals of leadership in technology innovation. SPE collaborates across diverse domains to ensure Intel platforms meet performance, reliability, and scalability requirements. Our work sits at the intersection of silicon, board hardware, firmware, validation, signal and power integrity, mechanical and thermal engineering, PCB technology, manufacturing, and system integration. Our senior hardware engineers have a broader responsibility than executing an individual design. They help establish platform architecture, guide implementation, identify and qualify appropriate hardware solutions, provide technical leadership during board power-on and debug, and lead resolution of schematic, layout, SI/PI, and hardware issues. Key Responsibilities Platform Architecture and End-to-End Technical Ownership

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 We are seeking a technically strong Tool Install Engineer with expertise in instrumentation, controls, and electrical systems to support semiconductor tool installation projects. This role provides technical leadership throughout design review, installation planning, construction support, commissioning, and system integration activities within advanced manufacturing environments. The ideal candidate will have experience reviewing engineering documentation, coordinating cross-discipline teams, resolving field execution challenges, and ensuring instrumentation and electrical systems are installed, tested, and commissioned safely and efficiently. This position works closely with engineers, contractors, vendors, and project stakeholders to facilitate semiconductor tool installation activities, ensuring systems are integrated safely, efficiently, and in alignment with project requirements, quality standards, and operational objectives. Responsibilities: Lead technical review and coordination of instrumentation, controls, and electrical scopes supporting semiconductor tool installation projects. Review engineering work including control system architectures, single-line diagrams, loop drawings, wiring diagrams, panel schedules, specifications, and equipment layouts to ensure quality and compliance. Evaluate designs for constructability, maintainability, safety, installation readiness, and alignment with project requirements and industry standards. Coordinate with design firms, cont

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. At Micron, the DRAM Design organization develops industry-leading memory solutions that span technology development, advanced circuit design, product engineering, system validation, and manufacturing enablement. Teams collaborate globally to deliver innovative memory products that meet demanding requirements for performance, quality, reliability, and time-to-market. As an Intern DRAM Design Engineer, you will contribute to the design, analysis, verification, and optimization of digital, analog, and mixed-signal circuits used in next-generation memory products. You will work closely with design, verification, product engineering, test, process integration, assembly, and marketing teams to support new product development and manufacturability initiatives. This role also provides opportunities to apply Artificial Intelligence and AI Assisted methodologies to improve design workflows, automation, and design quality. Responsibilities Play a key role in the development of new memory products through circuit build, layout, optimization, and validation of Memory, Logic, and Analog circuits. Support physical design activities including parasitic modeling, floor-planning, placement, routing, reticle experiments, tape-out revisions, and design verification using industry-standard simulation tools. Collaborate with global design, verification, product engineering, test, process integration, assembly, and marketing teams to improve manufacturability, quality, and product performance. Proactiv

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. ROLE Lead first-silicon bring-up, characterization, debug, and validation of advanced 3D NAND products. Establish whether silicon meets design intent and datasheet requirements, correlate simulation with measurements, and resolve issues that could affect product qualification, reliability, yield, or SSD/system integration. This role provides a unique opportunity to develop end-to-end expertise across advanced NAND products, spanning circuit design concepts, mixed-signal simulations, first-silicon bring-up, silicon debug, product qualification, and manufacturing readiness. Engineers gain broad exposure to analog, mixed-signal, digital, firmware, memory-array, and system-level behavior while working closely with design, verification, firmware, product, and system teams. RESPONSIBILITIES • Own validation strategies, coverage, and test plans for assigned NAND circuits and functions; define expected behavior, operating corners, and pass/fail criteria from product specifications and design intent. • Lead first-silicon bring-up, characterization, debug, and simulation-to-silicon correlation across voltage, temperature, process, timing, and workload conditions. • Characterize and debug NAND subsystems including reference and bias generation circuits, bandgap references, oscillators, voltage regulators, charge pumps, sensing and page-buffer paths, high-voltage program/er

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. About the Role We are looking for Staff System Software Engineer in Test to join our team. In this role, you will be responsible for design, development, automation and reporting of Integration and system tests spanning across firmware and device drivers. This role requires you to have significant technical breadth and deep understanding of low-level system software specifically in server class systems. You will be part of a new team responsible for integration of different system software deliverables and development of system tests spanning all the components. You will contribute to shaping the test strategy , guide best practices and solve complex problems while maintaining a strong hands-on focus. You will partner with development and other QA teams to deliver high quality scalable and reliable solutions. The team and culture You will join a new integration and system test team within System Software QA. The team verifies integrated components across BMC, firmware and Linux device drivers. Work happens close to the hardware, across component teams and QA. You will partner with developers,

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. Experience Level: Engineer / Senior Engineer / Principal Engineer (E1–E5) As an NFI Engineer at Micron, you will support the debug and root cause analysis of NAND-related issues across a wide range of end products, including SSDs, UFS and other NAND-based storage solutions. Working closely with Product Development, System Engineering, Firmware, Quality, and Failure Analysis teams, you will investigate complex issues involving NAND devices, firmware interactions, media management, controller interfaces, and system behavior. You will analyze system logs, characterization data, protocol traces, electrical measurements, and failure analysis results to identify root causes and drive corrective actions. The role involves supporting product qualification and sustaining activities, identifying NAND design marginalities and defectivity-related issues, improving product robustness, and developing automation or AI-assisted workflows to improve debug efficiency and accelerate issue resolution. In addition, you will leverage AI-assisted tools, data analytics, and automation solutions to accelerate debug activities, improve root cause turnaround time, and enhance engineering productivity. Engineers are encouraged to explore innovative approaches using AI technolog

Vehicle Management System (VMS) Hardware Engineer (Experienced) Company: The Boeing Company Boeing Defense, Space & Security (BDS) Flight Systems Engineering Capability is currently seeking an Experienced Vehicle Management Systems Hardware Engineer to join the Air Dominance Vehicle Management System (VMS), Hardware team located in Berkeley, MO. You will work across engineering disciplines to help us design elements of the Vehicle Management Systems (VMS) hardware. You will collaborate with our requirements and labs teams to implement and test your designs. Mechanical, Electrical, Aerodynamics, and other engineers are all welcome – to succeed in this role, you will need to leverage your area of expertise and quickly learn on the job about other areas to develop capabilities for our Vehicle Management System Computer. You will get to see tangible results of your efforts as you contribute to exciting aircraft development programs in St. Louis. Develops and documents moderately complex electronic and electrical s system requirements. Design hardware, and interfaces specifications. Test and validates to ensure designs meet operational and functional requirements Assist in monitoring supplier performance to ensure integration and compliance with requirements Solves problems concerning fielded hardware over the entire product cycle Researches specific technology advances for potential application to company business Analyze solutions to ensure ongoing operation of products thru life cycle Position Responsibilities: Lead requirements decomposition and traceability from customer need to testable design Develop, document,

Staff Software Engineer, AI-Native Web Platform P-1579 About Us: The Web Platform team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world. We are rebuilding the platform from the ground up, AI-native from the start, and pioneering an agentic SDLC as our operating model. The Role: As Staff Software Engineer on the Web Platform team, reporting to the Director of Engineering, you will own the platform layer that the rest of the team builds on: web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents. This is a rare opportunity to design a web platform for an AI-native world from the ground up. The north star architecture is being defined now and you will be a primary author of it. You will partner with technical leaders across web and marketing engineering, and set the standard for what AI-native platform engineering looks like in practice. The impact you’ll have : Define the technical roadmap for the web platform: component systems, rendering architecture, CMS, CI/CD pipelines, and developer tooling, built AI-native from the start. Influence technical leaders across the organization on shared architectural decisions and contribute to the broader north star for AI-native engineering at Databricks. Pioneer an AI-native SDLC by applying agentic unlocks across code generation, testing, review, deployment, and production monitoring. Define the evaluation frameworks, guardrails, and feedback loops that make agentic workflows reliable and production-grade. Mentor and grow engineers on the team, setting the standard for what AI-native thinking and execution looks like in practice. What we look for: 12+ years of software engineering experience, with a strong track record of technical leadership and impact. 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team. Proven track record

Software Engineer, Web Products P-1581 Location: Mountain View, CA About Us: The Web Engineering team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world, across databricks.com, the blog, landing pages, hubs, microsites, and event properties. We are rebuilding the platform from the ground up, AI native from the start, and pioneering an agentic SDLC as our operating model. The Role: As Software Engineer on the Web Engineering team, you will build and ship production-quality web experiences across public-facing Databricks properties on an AI native platform designed for humans and agents from the ground up. You will contribute to a web delivery practice where AI native tools and an AI native engineering lifecycle are embedded in how the team builds every day. The impact you’ll have : Build and ship web experiences across databricks.com including landing pages, blogs, hubs, and event properties on a unified, AI native architectural foundation Implement components and page systems using a shared design system, contributing to a consolidated stack that reduces per-surface maintenance overhead Operate in an AI native SDLC where agents assist across code generation, testing, and deployment, building faster and more reliably alongside them Contribute to ensuring databricks.com surfaces are structured and optimized for how the web is discovered and consumed today, including by AI driven search and discovery systems Participate actively in code review and help establish what rigorous, AI native engineering execution looks like on this team What we look for: 4+ years of software engineering experience with a track record of shipping production web systems Strong fundamentals across the web stack including component architecture, rendering strategies, build systems, and deployment pipelines Experience building on or integrating with content management systems like Drupal, Contentful Comfort adopting AI native development tools

Software Engineer, Web Products P-1581 Location: Mountain View, CA About Us: The Web Engineering team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world, across databricks.com, the blog, landing pages, hubs, microsites, and event properties. We are rebuilding the platform from the ground up, AI native from the start, and pioneering an agentic SDLC as our operating model. The Role: As Software Engineer on the Web Engineering team, you will build and ship production-quality web experiences across public-facing Databricks properties on an AI native platform designed for humans and agents from the ground up. You will contribute to a web delivery practice where AI native tools and an AI native engineering lifecycle are embedded in how the team builds every day. The impact you’ll have : Build and ship web experiences across databricks.com including landing pages, blogs, hubs, and event properties on a unified, AI native architectural foundation Implement components and page systems using a shared design system, contributing to a consolidated stack that reduces per-surface maintenance overhead Operate in an AI native SDLC where agents assist across code generation, testing, and deployment, building faster and more reliably alongside them Contribute to ensuring databricks.com surfaces are structured and optimized for how the web is discovered and consumed today, including by AI driven search and discovery systems Participate actively in code review and help establish what rigorous, AI native engineering execution looks like on this team What we look for: 4+ years of software engineering experience with a track record of shipping production web systems Strong fundamentals across the web stack including component architecture, rendering strategies, build systems, and deployment pipelines Experience building on or integrating with content management systems like Drupal, Contentful Comfort adopting AI native development tools