Hardware Lead Jobs

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Are you bready* for a change? We are not your traditional tech company and we do not aim to be. Going against the grain is in our DNA. Building a revolutionary product begins with revolutionary thinking. That is why we value diversity background and lived experience. Together, we empower restaurants of all sizes to build great teams, increase revenue, improve operations, and delight their guests. We pair our deep understanding of the restaurant industry with powerful cloud-based software and restaurant-grade hardware to deliver an intuitive all-in-one platform. Join us on our mission to empower the restaurant community to delight guests, do what they love, and thrive. About the Role*: Toast’s Hardware team designs and develops world-class hardware devices in conjunction with our JDM & ODM partners. We are a very lean team that focuses on the key elements of Android devices and accessories, and architect our devices to offer the best hardware solutions for our customers. From our close relationships with our customers, we have learned the important design features that make our devices truly restaurant-grade. We focus on the long-term reliability of our devices to ensure our customers do not have to be concerned with their Toast hardware always being ready for another busy day. A day in the life (Responsibilities): As a Staff Electrical Engineer on the Hardware Team, you will be laying the groundwork for our future products. Will work closely with Product Management, Product Design Architecture, Industrial Design, and the executive leadership team on new product definitions. Responsible for efficiently integrating electrical systems throughout the device to enable target use cases and hit other product metrics such as thickness, weight, and cost. You have the

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. At Toast, we are committed to empowering our customers by providing the technology, resources, and community they need to thrive. While our roots are in food service, we are rapidly expanding into adjacent markets and international territories. Our mission is to build a world-class Device Management platform that supports the diverse needs of all Toast customers, regardless of their industry or location. As a member of the Android Systems team, you will bridge the gap between hardware and software to build the foundational platform for Toast POS devices. Whether it’s an international team looking to deploy a new on-device application, a customer needing a critical firmware update, an Enterprise group needing multi-location device tooling - our systems empower customers to set up, secure, and manage their devices from wherever they are. Why this team? Expanding the Vision : We are expanding our Mobile Device Management ecosystem—unifying firmware, on-device apps, and security controls into one cohesive platform. Frictionless Device Management : We are transforming the customer’s device lifecycle experience from out-of-the-box setup to continuous remote management, leveraging AI to dramatically reduce operator’s time spent troubleshooting and configuring devices. About this roll* (Responsibilities): Own the design and delivery of features across Toast's Android system applications in Kotlin and Java, including device policy enforcement, out-of-box device setup, and firmware and app updates. Write technical designs for features that span on-device apps, cloud services, and Toast hardware, and lead effort estimation and planning for your projects. Build reliable background services that run on devices with little to no user interaction, and deploy them safely to the Toast fleet using fe

At Carbon, our mission goes beyond 3D printing. We are enabling creators everywhere to make what the world needs, right now. Our company is built on the idea that diverse fields of study must come together to solve intractable problems. We have grand ambitions to create technology that will influence industry around the world. You will be joining a diverse team with a vibrant culture, where team success is as important as celebrating individual contributions. Help us change the world and we will help you change yours. About the Role Carbon is looking for a Senior Production Systems/Test Engineer to join our team of talented engineers in our Santa Clara, CA office. The ideal candidate is a systems engineer with a passion for solving complex manufacturing challenges -- someone who thrives on digging into difficult problems across hardware, software, and data to find root cause and drive lasting fixes. In this role, you will lead troubleshooting of our complex end-of-line systems and develop robust test and bring-up processes that make our production line more efficient, self-sustaining, and capable of delivering the highest quality products. You will be a key driver in building the kind of systematic, repeatable testing infrastructure that lets our production team move fast with confidence -- ensuring every product that leaves the building meets Carbon's exacting standards. This role is located at our Santa Clara location on Thomas Road. This role is is a full time in-office job Monday through Friday. Responsibilities Own root cause analysis and troubleshooting of complex electro-mechanical and optical systems, using data analysis and MES tools to identify, validate, and resolve issues at their source. Serve as a key technical resource for the production floor -- rapidly unblocking manufacturing personnel when issues arise, driving corrective actions through to full resolution so the line stays moving and problems don't recur. Part

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. About the Role EnCharge AI is looking for a highly experienced, hands-on Principal Solutions Engineer to lead customer and partner solution development, architecture, and deployment for our next-generation AI acceleration platform. This is a senior technical leadership role that combines customer-facing engagement, solution architecture, AI software optimization, and technical mentorship. This role will partner with strategic customers throughout their development lifecycle—from initial technical discovery, architectural evaluation, and proof-of-concepts through production deployment and scaling. Bridging the gap between AI hardware, software, systems, and customers, helping them successfully build, optimize, and scale cutting-edge AI workloads and agentic workflows on EnCharge technology. Serving as the voice of the customer, directly influencing product roadmaps, software features, and developer experience. Responsibilities Serve as the primary technical interface and trusted advisor for strategic customers and partners evaluating and deploying AI workloads on EnCharge platforms. Lead end-to-end customer engagements from technical discovery through proof-of-concept (PoC), design-in, performance benchmarking, system-level tuning, and production deployment. Support technical pre-sales efforts by clearly articulating solution value propositions, architectural differentiator

About the job Lead the projects that turn advanced hardware designs into products ready for manufacturing. As a Project Manager, you will drive hardware manufacturing projects from planning through production release. You will help teams deliver complex programmes with clarity and confidence. Your work will keep engineering, operations and manufacturing partners aligned. You will manage priorities, track progress and remove delivery risks before they become blockers. You will work across hardware, software, systems and operations teams. If you enjoy solving complex delivery challenges and making technical programmes successful, this role offers real impact. The team and culture You will join the Manufacturing Technology team within Manufacturing Operations. The team works across Bristol, Cambridge, India, Taiwan and the US to develop and maintain manufacturing processes. Day to day, you will work closely with engineers, development managers, programme managers and external manufacturing partners. Success comes from clear communication, strong planning and shared ownership of delivery. The team values practical problem solving and informed decision making. People are trusted to take responsibility and keep projects moving. What we're looking for Essential: Degree level education or equivalent relevant industry experience 5+ years of relevant experience, including 3+ years in a technical project management role within multi-functional teams. Strong project management skills with ability to draw on experience of different methodologies (eg waterfall, scrum, agile etc) to identify the most appropriate method for the project. Working knowledge of project/programme management tools such as Jira, Confluence, MS Project etc. Experience working in global environments with international partners. Strong organisational and planning skills, with the ability to manage dependencies and competing priorities. Self-motivated, collaborative, and effective in f

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. About the Role EnCharge AI is seeking a highly skilled and experienced AI Compiler Engineer to spearhead the efforts in developing and optimizing graph compilers tailored to cutting-edge AI and ML workloads. You will collaborate with hardware architects, and AI researchers to enhance performance, optimize computation graphs, and enable efficient model deployment on EnCharge’s Inference Accelerators. Responsibilities Architect, design, and implement optimizations for AI model execution on graph compilers to improve performance, reduce latency, and maximize hardware utilization. Work closely with ML researchers, hardware engineers, and software developers to design and deploy AI models, understanding and addressing hardware-specific challenges. Work on performance optimizations for neural network models, such as layer fusion, operator fusion, and graph-level transformations. Develop compiler optimizations and passes that convert high-level AI models (e.g., from TensorFlow, PyTorch) into intermediate representations (IR). Implement parsing, semantic analysis, and IR generation for deep learning frameworks. Research and integrate the latest advancements in compiler design, ML model optimizations, and hardware acceleration into graph compilers. Provide leadership, mentorship, and technical guidance to a team of engineers focused on graph compiler optimizations. Qual

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. About the Role EnCharge AI is seeking a Senior NPU Architect to join our Architecture Team. In this role, you will collaborate with a team of NPU and system architects, hardware engineers, and software teams to define and optimize key features in our AI accelerator with the cutting-edge in-memory computing technology. You will contribute to designing a holistic AI HW/SW solution that has the best performance and efficiency on the market for the latest AI/ML workloads, such as LLMs, diffusion models, CNNs, and more. Responsibilities Define and develop the spec, architecture, and micro-architecture of key architecture modules (such as the in-memory compute unit, on-chip network, and memory orchestration units) based on the requirements of the workloads and software deployment flow Contribute to the modeling of aforementioned key architecture modules in our C++ simulation framework to ensure a functional implementation of the features Collaborate with the design verification team to deliver a strategy and infrastructure for the testing of the architecture features within said modules Work with the software team and other architects to analyze the performance and efficiency of the architecture modules for key workloads, identify performance bottlenecks, and guide architectural decisions Stay up to date with the latest trends and research in AI workloads, architectures, an

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. Senior Emulation Engineer Location: India - Remote Job Description: At EnCharge AI, we are building the next generation of AI compute silicon — purpose-built for high-performance, low-power, and scalable AI inference. As an Emulation Engineer, you will play a critical role in validating complex AI accelerator architectures on emulation platforms before tape-out. This position is ideal for someone passionate about bridging the gap between hardware and software in fast-paced, deep tech environments. Responsibilities: • Set up and maintain Siemens Veloce emulation and prototyping platforms • Adapt SoC designs for Emulation and Prototyping • Develop and debug emulation testbenches and system-level environments • Support pre-silicon validation, power/performance analysis, and early software bring-up. Participate in silicon bring-up and validation. • Collaborate with design and verification teams to isolate design issues and accelerate debug. • Optimize performance of the emulation workloads and reduce turnaround time. • Work with firmware/software teams to enable use of emulators for OS and driver testing. Required Background: • BS/MS/Ph.D. in EE, CS, or related field with 7+ years of SoC design experience. • Experience with emulation platforms (Veloce, Palladium, or ZeBu) and FPGA-based prototyping systems (proFPGA, HAPS, or Protium) • Experience with emula

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. About the Role EnCharge AI is seeking a highly skilled Device Driver Engineer to design and implement high-performance driver stack for our cutting-edge AI accelerator hardware. In this role, you will work closely with hardware, firmware, and AI software teams to develop low-latency, high-bandwidth communication between the host system and AI accelerator. Responsibilities Develop, optimize, and maintain Linux/Windows PCIe device drivers for AI accelerators. Implement low-level hardware interactions, DMA, memory management, and interrupt handling. Work on driver optimizations to reduce latency and improve throughput for AI workloads. Debug and troubleshoot PCIe protocol, kernel panics, crashes, and performance bottlenecks. Collaborate with hardware, firmware, and AI software teams to define driver interfaces. Ensure compliance with PCIe standards (Gen4/Gen5), SR-IOV, BAR memory mapping, and IOMMU. Support virtualization (VFIO, SR-IOV, DPUs) and containerized environments (Kubernetes, Docker, etc.). Develop tools for profiling, debugging, and monitoring driver performance. Contribute to open-source kernel modules if applicable. Qualifications Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. 3+ years of experience in device driver development for Linux and/or Windows. Strong experience with PCIe-based hardware, including BAR

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. About the Role EnCharge AI is looking for an Embedded SW Engineer to develop the firmware for our Edge AI processors. The candidate must possess an excellent understanding of computer architecture and operating system concepts including, but not limited to, memory management, virtualization and PCIe address space. The role includes designing and developing the core Firmware for various parts of the SOC. The candidate must possess strong communication skills to interface with Runtime, Architecture and H/W teams. Responsibilities Develop the critical pieces of EAI Firmware used to deploy inference jobs on EAI processors Validate different IP blocks on the SOC Evaluate and integrate third-party device drivers to interface with EnCharge’s SW stack Work closely with the Runtime, Hardware and Architecture teams define the driver architecture Qualifications Bachelors in EE/CS Advanced programming skills in C/C++ for operating system kernel & systems development Understanding of RISC-V architecture is a plus Exposure to PCIe BAR and IOMMU architecture Exposure to virtualization and hypervisor technologies Deep understanding of operating systems concepts, data structures, x86-64 and accelerator architectures Experience with low-level debug tools as well as emulators and simulators Experience running, analyzing, and tuning system performance benchmarks Excellent verb

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. About the Role EnCharge AI is seeking an AI Runtime Engineer to develop and optimize the execution stack for our next-generation AI accelerator. In this role, you will work on low-latency, high-performance runtime software that enables efficient execution of deep learning models on specialized hardware. You will collaborate with hardware, compiler, and AI framework teams to deliver optimized AI inference and training performance across cloud and edge environments. Responsibilities Develop and optimize the AI runtime software stack for executing deep learning workloads on AI accelerators. Implement task scheduling, memory management, and kernel execution strategies for efficient computation. Optimize data movement between host and device using PCIe, DMA, shared memory. Design and implement high-performance APIs for AI Inference frameworks such as OpenVino, ONNX Runtime, vLLM Work on graph execution optimizations, including kernel fusion, pipelining, tensor tiling, and caching. Integrate runtime components with AI compilers (LLVM, MLIR, XLA, TVM) for optimized execution. Ensure scalability and reliability of the AI runtime for cloud-based and edge AI deployments. Qualifications Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. 3+ years of experience in developing low-level runtime software for AI accelerators, GPUs, or

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. About the Role EnCharge AI is seeking a highly skilled and experienced AI Compiler Engineer to spearhead the efforts in developing and optimizing graph compilers tailored to cutting-edge AI and ML workloads. You will collaborate with hardware architects, and AI researchers to enhance performance, optimize computation graphs, and enable efficient model deployment on EnCharge’s Inference Accelerators. Responsibilities Architect, design, and implement optimizations for AI model execution on graph compilers to improve performance, reduce latency, and maximize hardware utilization. Work closely with ML researchers, hardware engineers, and software developers to design and deploy AI models, understanding and addressing hardware-specific challenges. Work on performance optimizations for neural network models, such as layer fusion, operator fusion, and graph-level transformations. Develop compiler optimizations and passes that convert high-level AI models (e.g., from TensorFlow, PyTorch) into intermediate representations (IR). Implement parsing, semantic analysis, and IR generation for deep learning frameworks. Research and integrate the latest advancements in compiler design, ML model optimizations, and hardware acceleration into graph compilers. Provide leadership, mentorship, and technical guidance to a team of engineers focused on graph compiler optimizations. Qual

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. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

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. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

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. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.