Hardware Debug And Validation 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. Role Summary As part of the MPD team, you will need to think outside the box, break down every impossibility, and be open to discussion in pursuit of perfection. We don’t just expect you to build products simply, but to be proud of what we do. Are you ready to embrace challenges in a fast-paced organization? Join UI, share your crazy-but-creative ideas with us, and make a great impact on the world together! Responsibilities Collaborate closely with Industrial Design (ID) to translate product concepts into manufacturable mechanical designs, ensuring design intent, usability, and cost targets are met. Lead mechanical design and development, including 3D CAD modeling (e.g., SolidWorks), 2D drawings, tolerance analysis, and design for manufacturability (DFM) and assembly (DFA). Validate prototypes through functional, assembly, and reliability testing (e.g., drop test, thermal cycling, environmental testing), and drive design iterations based on test results. Work cross-functionally with Tooling, Manufacturing, Hardware, RF/Antenna, and Sourcing teams to resolve integration issues, optimize performance, and ensure seamless system-level implementation. Drive product development through all stages, including tooling, EVT/DVT/PVT, pilot run, and mass production, ensuring schedule adherence and risk mitigation. Define and control me

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're hiring a Compute Strategy and Operations lead to own how Modal plans for and acquires GPU and CPU capacity. You'll size our infrastructure needs ahead of demand, source supply across hyperscalers, neoclouds, and datacenter operators, and negotiate and close the contracts to secure it. The compute you secure directly determines what Modal can sell and build. In this role, you will: Own end-to-end procurement of GPU and CPU capacity across hyperscalers, neoclouds, and datacenter operators Build and maintain a strong pipeline of supplier relationships Evaluate supply options on price, availability, hardware specs, networking capabilities, and SLA terms Negotiate and close contracts: reserved capacity agreements, spot arrangements, MSAs, DPAs, and order forms Work closely with our engineering teams to translate technical requirements into procurement specs Track

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role HP IQ’s System Software team enables on-device experiences to take full advantage of our hardware capabilities.Our team collaborates with internal and external partners to develop unique solutions using cutting edge hardware, sensors, algorithms, and interaction models. If you enjoy solving complex, interdisciplinary problems with a world-class team, we'd love to hear from you! What You Might Do Lead, grow and mentor a high-performing embedded software team in a startup environment Serve as a technical leader and escalation point for complex hardware/software integration issues Communicate technical vision, risks, and progress clearly to cross-functional and executive stakeholders Own system-level strategy, architecture, and technical direction across multiple products Drive execution of low-level driver and framework software development in C and C++ across multiple devices and operating systems Oversee integration between hardware and software, ensuring alignment across cross-functional teams Guide performance, power, and thermal optimization efforts Balance hands-on technical invol

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors About the Role Nuro leverages many different bench-top systems to evaluate and regression test different aspects of the software and hardware integration layer. This performance simulation platform includes systems At Nuro, every autonomy code change, from ML model updates to radius of map around the robot to number of evaluated trajectories, must be validated for real-time performance on actual robot compute hardware before it reaches the road. You will own the infrastructure that makes this possible. Our Performance Simulation Platform is a hybrid benchmarking system: physical bench-top rigs running production robot compute (NVIDIA Thor platform), orchestrated by cloud-native infrastructure (Kubernetes, GCP), automated data pipelines feeding performance metrics into BigQuery and Grafana, pre/post simulation magic, custom tracing and profiling tools, and much much more. Engineers across the company rely on this platform daily to an

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors About the Role Nuro leverages many different bench-top systems to evaluate and regression test different aspects of the software and hardware integration layer. This performance simulation platform includes systems At Nuro, every autonomy code change, from ML model updates to radius of map around the robot to number of evaluated trajectories, must be validated for real-time performance on actual robot compute hardware before it reaches the road. You will own the infrastructure that makes this possible. Our Performance Simulation Platform is a hybrid benchmarking system: physical bench-top rigs running production robot compute (NVIDIA Thor platform), orchestrated by cloud-native infrastructure (Kubernetes, GCP), automated data pipelines feeding performance metrics into BigQuery and Grafana, pre/post simulation magic, custom tracing and profiling tools, and much much more. Engineers across the company rely on this platform daily to an

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role We are a team of high-output generalists where ML and systems engineering converge to push autonomy performance forward. As a Senior Perception ML Data Infrastructure Engineer, you will own the critical bridge between our autonomous vehicle hardware, our human labeling operations, and our ML models. You will take ownership of our core native perception data platform. This is not a standard web development role; the stack is deeply adjacent to our core robotics infrastructure. You will be dealing with massive, dense 3D point clouds at a scale that pushes the boundaries of industry state-of-the-art, alongside complex sensor parsing, pipeline propagation, and rigid performance constraints. You will operate in highly ambiguous environments, inheriting complex systems, establishing strict API boundaries, and building the "good enough, fast enough" infrastructure that guarantees our ML models learn from high-quality data. About the wo

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 a DMTS (Distinguished Member of Technical Staff), you will participate in a groundbreaking Next Generation NAND research and development Dry Etch team moving Advanced NAND and dry etch technology forward. The position provides ample chances for innovation, cooperation, and exploring new scaling methods with Next Generation NAND. A DMTS Dry Etch Engineer is a senior individual contributor and top industry expert who defines, develops, and transfers advanced dry etch processes for Micron NAND technologies. You will work directly with process integration and other areas including Wet Etch, CVD, Diffusion, Metals, Lithography, and CMP. You will operate innovative dry etch chambers and lead the process roadmap to achieve program and yield targets. Your responsibilities include, but are not limited to: Leading advancements in Dry Etch technology and essential module development Act as a technical expert for dry etch process, hardware and applications in NAND technology development at F10, Singapore. Your position encourages delivering broad technical vision, deep domain expertise, and perspective advised by extensive knowledge of dry etch physics/chemistry. Define the equipment roadmap. Work together with suppliers and develop a mechanism-focused logical hardware ro

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 a MTS (Member of Technical Staff) at Micron, you will join a groundbreaking Next Generation NAND research and development Dry Etch team. You will lead critical modules listed below. This position provides many opportunities for creativity, collaboration, and advancing scaling with Next Generation NAND. You will work closely with process integration and other areas such as Wet Etch, CVD, Diffusion, Metals, Lithography, and CMP. You will operate powerful dry etch chambers and manage the process roadmap to achieve program and yield goals. Your responsibilities include, but are not limited to: Leading development of Dry Etch technology and essential modules Become a Dry Etch Area expert Develop/innovate dry etch processes to meet structural and electrical specifications Work closely with hardware teams to develop the equipment roadmap for current and upcoming NAND products Show expertise in dry etch technology fundamentals and possess a mechanistic understanding of how process parameters affect outcomes Collaborate and lead multi-functional teams to solve complex structural problems Present process and technology development plans for current and upcoming technology nodes Stay proactive in predicting when and how future iss

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. We are seeking a highly motivated V&V software development engineer in test (SDET) to join this systems-engineering department. As a V&V SDET, you will be a technical lead, owning the end-to-end validation strategy for critical safety systems while architecting and implementing the advanced software infrastructure required to verify them. This role is coding-intensive, focused on building solutions for high-fidelity testing, scalable automation frameworks, and sophisticated data analysis tools to ensure successful compliance to requirements and mission success. Some examples of tools this role supports: Framework for event definition, orchestration, and verification High-performance C++ and Python-based emulators for vehicle sensors (e.g., Radar, Lidar, and Inertial Measurement Units) to enable realistic, real-time fault injection Robust communication bridges between simulation environments and physical vehicle hardware Automating test management and reporting within lifecycle management tools, e.g. Polarion, JAMA, DOORS. In this role, you will: Lead the design and maintenance of large-scale event-driven software/hardware -in-the-loop (SIL/HIL) testing frameworks, utilizing advanced software patterns to improve modularity and reduce code duplication. Architect and manage end-to-end continuous integration (CI) pipelines to automate the execution of regression suites. Lead root cause analysis for complex system-level failures, developing log mining scripts and visualization dashboards (e.g., Grafana, SQL-based notebooks) to triage failures and track performance metr

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but operational in how we execute, and we support every product and research effort at OpenAI. Our tenets include prioritizing for impact, enabling researchers and developers, preparing for future transformative technologies, and fostering a strong, collaborative security culture. About the Role OpenAI is seeking a Principal Software Engineer to join the Infrastructure Security (InfraSec) team. InfraSec safeguards the core of OpenAI’s research and production environments: GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter spans everything from bare-metal hardware and firmware to Kubernetes clusters, service meshes, and the data pathways that carry highly sensitive model weights and user data. As a Principal Software Engineer, you will set technical direction and drive execution of critical foundational services, such as authentication systems, egress/ingress proxies, access brokers, and key management platforms, that demand high standards of reliability, scalability, and software craftsmanship. These systems form the security backbone of OpenAI’s customer and supercomputing environment and must remain robust under intense scale and adversarial pressure. In this role, you will: Own the architecture and roadmap for one or more core security services (e.g., authN/Z, policy enforcement, secure proxies, key management), taking them from design to rollout to long-term operation. Design and implement planet-scale security systems that provide strong guarantees across hardware, operating systems, Kubernetes, networks, and CI/CD: balancing security, reliability, latency, and developer ergonomics. Lead cross-functional launches

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role OpenAI is seeking a Principal Security Engineer to join our Infrastructure Security (InfraSec) team. InfraSec protects the foundations of OpenAI’s research and production environments, spanning GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter includes securing everything from bare-metal hardware and firmware, to Kubernetes clusters and service meshes, to data storage and access pathways for highly sensitive model weights and user data. As a principal engineer, you will set technical direction and drive execution on high-impact infrastructure security programs, partnering across various orgs at OpenAI to deliver durable controls that raise the security bar at OpenAI scale. In this role, you will: Own end-to-end security outcomes for one or more critical infrastructure areas, including multi-quarter strategy, roadmap, and delivery. Design and build security controls across diverse layers (e.g., physical hardware, firmware/BMC, OS, Kubernetes, networks, and CI/CD) to defend against sophisticated adversaries and insider threats. Lead cross-functional programs to deploy security enhancements and control changes across broad-scale infrastructure, balancing security guarantees with reliability and velocity. Take a generalist approach to building security controls, balancing a mix of security expertise and broad technical skillsets

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role The Cameras team is the cornerstone of Verkada's product ecosystem. We are looking for a Director of Firmware Engineering to lead the embedded software organization behind our flagship camera line. In this role, you will oversee multiple specialized firmware groups, driving the development of highly reliable, performant, and secure firmware deployed to hundreds of thousands of devices worldwide. You will manage and mentor a team of engineering managers and senior individual contributors, partnering closely with Hardware, Cloud, Product, and QA teams to define the roadmap and deliver cutting-edge edge-computing and imaging capabilities. What You’ll Do Partner on New Product Development (NPI): Work side-by-side with the Hardware and Electrical Engineering teams from the conceptual phase through mass production. You will co-design syst

About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Our team is at the forefront of the artificial intelligence revolution, enabling innovators from all industries and sectors to expand human potential with technology. The availability of specialised artificial intelligence compute will be a decisive factor in AI’s rate of progress. Graphcore allows innovators to go further, faster. What we do really makes a difference. Reporting to the Director of Silicon Architecture, the SoC Architects are responsible for the design, specification, modelling and integration of sub-systems within complex, high performance and highly integrated silicon devices at the forefront of AI acceleration technology. The role involves close collaboration with other groups, including architecture, silicon design, verification, hardware and software teams. The Team The Silicon Architecture Team sits within the COO group. The SoC architects are responsible for the architectural specification, integration, modelling, validation and evaluation of numerous critical&nb

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. Requirements: 3+ years of software testing experience; 1+ year QA Automation(backend) using Python, 1 year of manual testing experience; Strong L2/L3 networking expertise; Strong knowledge of software QA methodologies, tools and processes; Experience with testing of networks and embedded systems; Good knowledge of Linux administration and shell scripting; Solid knowledge of Python; Experience with Python test frameworks (PyTest, etc.); Upper-intermediate level of spoken and written English; BS degree in Computer Science or related engineering degree. Responsibilities: Design and implement wide variety of test scripts; Take part in test planning and estimation; Extend functionality of Python test framework; Adapt and create tools to support new features/hardware; MQA lab setups maintaining; Manual testing — 40%, Automation — 60% Candidate needs to be in Kyiv (or consider relocation). Hybrid type of work. What do we offer: International work environment and work with global development teams; Excellent work conditions in an A-Class office (Horizon Park Business Center); Compensation package matching global standards; Flexible work hours (as required); Paid parking, courses, training, conferences and business trips; Medical insurance Free lunches Candidate will work as part of the global team of firmware,

Job Details: Job Description: The Role and Impact As a CPU Performance Architect, you will play a pivotal role in shaping the future of Intel's cutting-edge CPU designs, driving innovation across high-performance computing and extreme low-power products. This position offers the unique opportunity to be at the forefront of technological advancements, defining and delivering architecture specifications that directly impact Intel's success and industry leadership. Your contributions will influence the performance, scalability, and efficiency of CPUs that serve diverse market segments, from enterprise solutions to edge computing devices. Through collaboration with cross-functional teams, you will invent novel microarchitectural approaches, overcome bottlenecks, and refine designs to meet stringent constraints and evolving demands. Your work will enable Intel to consistently push boundaries and deliver CPUs that meet and exceed customer expectations. Key Responsibilities Develops and drives end-to-end CPU microarchitecture specifications for highly optimized, modular, and scalable CPU based on hardware features, requirements, and interoperability of hardware and software throughout the product life cycle. Evaluates feasibility tradeoffs, explores, and defines new approaches and novel microarchitectures for CPU. Models CPU performance and power characteristics and analyzes the bottlenecks of current performance features on workloads that reflect CPU future usage. Collaborates with architects, design, verification, and validation engineers during the execution of the project. Delivers definition of new microarchitecture and finds mitigations for issues that arise during feature implementation to improve the overall design of CPU and overcome bottlenecks and constraints. Participates in the