Hardware Security Engineer Intern Jobs

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 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,

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. Responsibilities Lead and execute server, storage, data center, and networking motherboard design projects. Develop schematic diagrams, perform layout reviews, and maintain BOMs to ensure design quality. Conduct comprehensive power supply validation spreadsheet (Intel/AMD platforms), including efficiency, thermal, stress, dynamic load, ripple noise, stability, and regulation testing. Utilize VRTT / AMD validation tools and other industry-standard test platforms. Debug and resolve critical system issues, including burnout, EMI, acoustic noise, ESD, surge, and thermal challenges. Continuously optimize system performance across efficiency, thermal design, space utilization, noise, and cost dimensions. Requirement BS or MS in Electrical Engineering (or related field). 6+ years of hands-on design experience in VRM Core power, DDR power, and POL power on Intel/AMD platforms. Solid knowledge of power topologies (Buck, Boost, Hot-swap, etc.) and component-level tradeoffs. Strong expertise in power component specification, selection, and PCB layout best practices. Proficiency with industry tools such as OrCAD, PADS, Allegro, etc. Proven ability to diagnose and resolve complex hardware issues with a strong design problem-solving mindset. Effective communication and collaboration skills, with the ability to influence cross-functional

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

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 Develop and maintain embedded networking products based on Marvell switch solutions, such as the Enterprise Fortress Gateway. Work directly with arm64 Linux systems, including kernel-level resource management (cgroup, memory handling, OOM prevention). Perform throughput tuning and ensure system stability under high-load and edge-case scenarios. Debug and resolve complex network and system issues, particularly those arising from real-world customer setups involving advanced topologies. Collaborate with hardware engineers on platform bring-up and system-level optimization. Leverage Marvell SDKs and toolchains, including CPSS, for switch configuration, diagnostics, and control. (Bonus) Utilize or integrate DPDK-based architecture for advanced performance use cases. Remain flexible and ready to handle a wide range of tasks based on project and customer needs, including support, feature integration, testing, and documentation.

About the Team The Future of Computing Research team is an applied research team in the Consumer Devices group focused on developing new methods and models to support our vision as we advance forward in our mission of building AGI that benefits all of humanity. About the Role As a Technical Lead on the Future of Computing Research team, you will work together with both the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities. This role is based in San Francisco, CA. We follow a hybrid model with 3 days a week in the office and offer relocation assistance to new employees. In this role, you will: Evaluate and select silicon platforms (GPUs, NPUs, and specialized accelerators) for on-device and edge deployment of OpenAI models. Work closely with research teams to co-design model architectures that meet real-world deployment constraints such as latency, memory, power, and bandwidth. Analyze and model system performance, identifying tradeoffs between model design, memory hierarchy, compute throughput, and hardware capabilities. Partner with hardware vendors and internal infrastructure teams to bring up new accelerators and ensure efficient execution of transformer workloads. Build and lead a team of engineers responsible for implementing the low-level inference stack, including kernel development and runtime systems. Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build on top of. You might thrive in this role if you: Have experience evaluating or deploying workloads on GPUs, NPUs, or other specialized accelerators. Understand the performance characteristics of transformer models, including attention, KV-cache behavior, and memory bandwidth requirements. Have designed or optimized high-performance compute systems, such as inference engines, distributed runtimes, or hardware-aware ML pipelines. Have experience building or leading teams work

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. Responsibilities: Plan and lead manual and automation testing initiatives to ensure software releases meet or exceed requirements; Identify and communicate opportunities for product improvement; Report bugs/errors to development teams and help troubleshoot issues; Work with networking equipment for test coverage purposes; AI solution implementation: Design, test, and implement AI-powered solutions for internal processes and customer-facing products. Requirements: 3+ years of experience testing modern Web and Mobile Applications; Experience with TestRail/Test Suite creation, or others; Experience with AI tools - Claude, Codex, etc. Experience with TypeScript, Bash, Cucumber, Jenkins; Enjoys working in a collaborative team environment; General understanding in Networking (Internet, WiFi, VLAN, Firewall, VPN etc.); Strong understanding in MQA and AQA testing process; Feel for a great UX and finding facing issues; Fluent in English and Latvian. Nice to have: Experience with hardware devices; Experience with OSI layer/WiFi/Networks/VPN/Firewalls, or anything similar. Benefits: International work environment and work with global development teams; Ability to deliver software that is used by millions of people across the globe; Opportunity to leverage and integrate modern AI tools into product development; Access to all Ubiquiti p

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. As a Staff Software Engineer on our Inference team , you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary. Strong candidates may also have experience with: High-performance, large-scale distributed systems Implementing and deploying machine learning systems at scale Load balancing, request routing, or traffic management systems LLM inference optimization, batching, and caching strategies Kubernetes and cloud infrastructure (AWS, GCP) Pytho