Software Engineer - AI Hardware Engineering

Join our team as an AI Hardware Installer, where high demand meets high rewards! This full-time position comes with comprehensive paid training to help you succeed.As an AI Hardware Installer, you will play a crucial role in deploying cutting-edge AI hardware systems. This opportunity is ideal for individuals with hands-on technical experience who are eager to advance in the rapidly evolving tech landscape through certified training and practical fieldwork.Training Program & ScheduleAvailable positions across TexasPaid, structured training programSeven weeks of virtual learning, followed by one week of in-person practical trainingCertification upon successful completionTraining starts at the end of April 2026Remote interviews availableRole OverviewAssist in the installation and setup of AI-enabled hardware and equipmentSupport wiring, mounting, and configuration tasksAdhere to technical documentation, safety protocols, and installation standardsConduct basic system checks and report any issues under supervisionOrganize tools, materials, and job sites to ensure efficient installationMaintain clear communication with supervisors and team members

Full-Time AI Hardware InstallerJoin a high-demand industry with competitive wages and paid training opportunities! We are on the lookout for reliable, tech-savvy individuals to fill the Full-Time AI Hardware Installer position. This role involves the installation and setup of state-of-the-art AI hardware systems, with structured training, certification, and promising long-term career prospects in the rapidly evolving tech sector.Training & CertificationAvailable across TexasComprehensive paid training providedSeven (7) weeks of virtual instruction, followed by one (1) week of hands-on practical trainingCertification awarded upon successful program completionTraining commencement in late April 2026Remote interviews conductedKey ResponsibilitiesInstall, mount, and connect AI-driven hardware systems at specified locationsAssist in wiring, equipment setup, and hardware configurationAdhere to technical instructions, safety protocols, and installation standardsConduct basic system checks and troubleshooting under supervisionPrepare job sites, tools, and materials for installation tasksCommunicate progress and challenges to supervisors and project teams

Join Zoox's pioneering Advanced Hardware Engineering team, where we drive the future of autonomous vehicle technology through innovative design and development of cutting-edge sensor technology, networking, and our main compute platforms. In this pivotal role, you will collaborate with a diverse team of engineering experts to architect the next generation of compute platforms, both on-vehicle and in the cloud. Your extensive industry experience and analytical skills will be crucial in balancing off-the-shelf components with fully customized silicon solutions, ensuring that Zoox remains at the forefront of autonomous driving technology.This hands-on position offers the unique opportunity to engage directly with executive leadership and industry practitioners, playing a significant role in shaping Zoox's strategic direction and competitive advantage.

Rhoda AI builds the next generation of humanoid robots, combining high-performance, software-defined hardware with advanced foundational and video world models. Our robots are designed for adaptability, tackling complex real-world situations, even those outside their original training data. Backed by over $400 million in funding, Rhoda AI invests deeply in research, hardware innovation, and scaling manufacturing. Our research team includes alumni from Stanford, Berkeley, and Harvard. Role Overview The Vice President of Hardware Engineering leads the design, development, and scaling of Rhoda’s robotics systems from concept through mass production. This executive role builds and guides a top-tier hardware engineering organization, shapes product architecture, and ensures delivery of systems that meet the demands of industrial applications. Rhoda AI is committed to overcoming the hardware barriers that have limited robotics in real-world environments. What You Will Do Product and System Leadership Work closely with Product Management to define system requirements and outline product roadmaps. Translate product needs into clear engineering specifications and system architectures. Lead hardware development across mechanical, electrical, and systems engineering teams. Design and Development Oversee the design and development of robotic systems, including manipulation platforms, end effectors, sensor integration, and compute and control systems. Ensure systems remain reliable and safe under real-world operational stresses, including variability, wear, and uptime demands. Execution and Delivery Manage the full product lifecycle: from concept and prototyping through validation, new product introduction, and volume production. Set up and enforce rigorous test and validation protocols covering functionality, reliability, and safety. Develop engineering processes and standards to support product development and maintain quality assurance. Location Palo Alto, CA

Exciting OpportunityHandshake is on the lookout for proficient KiCad users to contribute to AI research in a flexible, project-based capacity. This role is not your typical full-time position; rather, it allows you to leverage your hands-on expertise in schematic capture, PCB layout, or embedded hardware design to assess AI-generated content and provide critical feedback, enhancing the AI's understanding of electronics design tasks and EDA workflows.This is an ongoing opportunity that you can engage in alongside your current commitments.Ideal CandidateThis role is well-suited for experienced KiCad users who have held positions such as:Hardware Engineer or Embedded Systems EngineerPCB Designer or Electronics TechnicianIoT Developer or Circuit Design EngineerCandidates should possess substantial experience in one or more of the following areas:Schematic capture, PCB layout, or embedded hardware design using KiCad or LibrePCBIoT hardware design, embedded systems, or EDA tool workflowsAnnotating or labeling circuit schematics and PCB design assetsEvaluating PCB designs for accuracy, performance, or design consistencyYour ResponsibilitiesUtilize your KiCad experience to formulate tool-related inquiries and assess AI-generated responses for precision and relevance within real-world hardware engineering and PCB design workflows. No prior AI or technical experience is necessary.Required QualificationsWe seek candidates who have:A minimum of 3+ years of practical experience with KiCad, whether through professional roles or freelance engagements. Familiarity with LibrePCB is advantageous.A solid understanding of schematic capture, PCB layout concepts, and EDA workflows.Exceptional written communication skills and a keen eye for detail.The ability to work autonomously and adhere to written instructions.

Rebuild Manufacturing is building an AI-powered platform to improve hardware product development. The platform connects with tools that hardware teams already use, helping them track change requests and share important context. By coordinating across different disciplines, it keeps projects moving smoothly as requirements shift. Supported by a parent company with deep roots in engineering and manufacturing, the team is focused on closing communication gaps in hardware development. The goal: make sure every update and decision reaches the right people at the right time. Role overview The Senior AI Engineer will design and build the core AI agents that drive the platform. This work involves developing systems that can spot potential issues in hardware workflows, offer timely assistance, and help teams stay aligned as projects evolve. What you will do Create AI systems that integrate with existing engineering tools Develop features to coordinate change requests and share critical information Build solutions that help engineering teams anticipate and resolve workflow challenges Locations Greater Boston, MA Los Angeles, CA United States (other locations considered)

Join the dynamic world of Roblox, where millions engage daily in exploring, creating, learning, and connecting through immersive 3D experiences crafted by a global community of developers and creators.At Roblox, we are committed to building innovative tools and platforms that empower our community to realize their creative visions. Our mission is to transform how individuals connect, regardless of geographical boundaries, and across any device. We strive to foster connections among a billion users with positivity and respect, and we are actively seeking exceptional talent to help us achieve this goal.A career at Roblox is an opportunity to influence the future of human interaction, tackle unique technical challenges at scale, and contribute to creating safer, more respectful shared experiences for everyone.As a vital member of our Infrastructure Foundation Hardware Engineering team, you will lead the charge in delivering a reliable, high-performance, and cost-effective infrastructure that supports the world’s play. In this specialized role, you will act as the technical lead for our GPU and AI accelerator ecosystem, managing the entire lifecycle of GPU hardware—from architectural evaluation and firmware qualification to large-scale fleet integration and performance optimization. Your expertise will ensure that Roblox's extensive rendering and machine learning workloads operate on the most efficient and stable hardware available.Your Responsibilities Will Include:Architect & Prototype: Develop next-generation GPU-accelerated hardware platforms, ensuring seamless integration between high-density compute nodes, high-speed interconnects (NVLink/PCIe Gen5/6), and system firmware.GPU Optimization: Lead the integration, performance testing, and debugging of GPUs within our fleet, focusing on hardware-level optimizations, driver tuning, and thermal/power management.Validation & Certification: Create and implement comprehensive evaluation and stress-testing strategies for GPU-centric server platforms to meet Roblox's unique requirements for real-time rendering and low-latency AI inference.Firmware & Systems: Spearhead firmware qualification (BIOS/BMC) and troubleshooting, along with implementing automation systems to monitor GPU health and manage firmware updates.Vendor Collaboration: Collaborate with technology partners to enhance our GPU and AI infrastructure.

Arxlight AI is hiring a Robotics Hardware Engineer in Oakland. This position centers on designing, developing, testing, and refining advanced robotic systems and components. Projects span from initial concept through execution, drawing on knowledge from mechanical engineering, electrical engineering, and computer science. Collaboration with cross-functional teams is a regular part of the work, aiming to deliver reliable and cost-effective robotics solutions. What you will do Evaluate engineering concepts across electrical, mechanical, software, and manufacturing areas. Build prototypes, investigate failures, and help move successful designs into production. Lead the design, implementation, and testing of electro-mechanical systems. Take ownership of major systems and work with significant autonomy. Organize and run design reviews, perform technical analyses, coordinate with vendors, and develop as well as execute hardware testing plans. Support hardware demonstrations for customers as needed. Travel to testing sites when required. Apply first principles of physics to guide engineering decisions. Adapt to a range of roles and responsibilities as project needs shift. Requirements Bachelor's, Master's, or PhD in Electrical Engineering, Mechanical Engineering, Mechatronics, Software Engineering, or a related field. Hands-on experience with technical projects, whether academic or professional. Demonstrated ability to design complex electro-mechanical systems (such as robots, UAVs, wearables, or high-power electric propulsion systems). Ability to interpret and work with block diagrams, schematics, wiring diagrams, and layouts. Strong grasp of engineering fundamentals. Preferred qualifications Additional degrees or minors in related engineering fields. Familiarity with mechanical CAD tools (for example, Solidworks, NX, or Fusion 360). Experience with electrical CAD software (such as Altium).

Field AI is revolutionizing the interaction between robots and the real world. We are developing advanced, risk-aware AI systems designed to tackle intricate challenges in robotics, thereby unlocking the true potential of embodied intelligence. Our approach transcends standard data-driven methods and pure transformer architectures, paving a new path with globally deployed solutions that yield tangible results and continuously enhance models through real-world applications.Hardware Team:The Hardware Team at Field AI innovates perception and computational payloads that empower autonomous robotic systems to operate effectively in complex real-world environments. Our scope encompasses the entire hardware stack, from designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS) to embedded computation (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). We focus on both development (research, design, prototyping, testing) and operational phases (production, testing, QA, debugging). As a rapidly growing team, we are committed to enhancing core capabilities, system reliability, and scalability while establishing operational systems and procedures from the ground up. Electrical Systems Role:As an Electrical Engineer within the Hardware Team at Field AI, your contributions will be pivotal in designing and implementing electrical systems that facilitate power and communication across sensing and computational packages. Your responsibilities will cover power systems, wire harnesses, PCB design, and communications networks, ensuring our systems are electrically robust, safe, and scalable. You will engage in the full lifecycle from electrical CAD through to production and field support, collaborating closely with mechanical, sensor, and compute teams to create tightly integrated solutions ready for deployment in demanding field environments. While your primary focus will be electrical systems, your expertise may also extend across all hardware domains.

Field AI is revolutionizing the interaction between robots and the real world. We are developing risk-aware, dependable AI systems that tackle the most intricate challenges in robotics, thereby unleashing the immense potential of embodied intelligence. Our approach transcends conventional data-driven techniques and purely transformer-based architectures, forging a novel path with globally-deployed solutions that yield tangible results and enhance models through practical applications in the field.Hardware Team: The Hardware Team at Field AI is engaged in crafting perception and computational payloads that empower autonomous robotics systems to thrive in demanding real-world conditions. Our efforts encompass the entire hardware stack, including designing and integrating sensing systems (LiDAR, cameras, TOF, IMU, GPS), embedded computing (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal management, ingress protection). We focus on both development (research, design, prototyping, testing) and operational aspects (production, testing, QA, debugging). As a small, agile team, we are committed to enhancing: 1) core capabilities, 2) system reliability, and 3) system scalability. We are also in the process of establishing operational systems and procedures from the ground up.Mechanical Systems Role: As a Mechanical Engineer within the Hardware Team at Field AI, your contributions will revolve around the design and implementation of mechanical systems that shelter and support sensing and computational platforms in real-world settings. Your responsibilities will encompass a wide array of tasks, from creating ruggedized enclosures to managing thermal performance and ensuring manufacturability, all crucial for guaranteeing system reliability in the field. You will engage in the complete lifecycle of projects, from CAD design to production and field support. Collaboration with electrical, computational, and systems engineers will be vital to develop seamlessly integrated solutions tailored for deployment in challenging environments. While your primary focus will be on mechanical systems, you may also lend your expertise across various hardware domains.

About UsGraphcore is a pioneering leader in Artificial Intelligence compute technology. We are dedicated to developing cutting-edge hardware, software, and systems infrastructure that will facilitate the next wave of AI innovations and promote the widespread integration of AI solutions across various sectors.As a proud member of the SoftBank Group, Graphcore is part of an exclusive network of companies that are at the forefront of transformative technologies. Our shared mission is to enable Artificial Super Intelligence and ensure its benefits are accessible to all.Our teams consist of professionals from diverse backgrounds, including AI research experts, silicon designers, software engineers, and systems architects. At Graphcore, we foster a culture of continuous learning and relentless innovation.Job SummaryWe are on the lookout for a skilled Hardware Validation Manager to spearhead the validation of Graphcore hardware platforms from prototype through to production release. The successful candidate will be responsible for defining validation strategies, building and leading a high-performance validation engineering team, and ensuring our hardware products meet electrical, functional, and reliability objectives throughout all development stages.The ideal candidate will possess profound technical knowledge in hardware validation combined with robust leadership skills, effective cross-functional collaboration, and the ability to execute programs to deliver high-quality products at scale.

About Field AIField AI is revolutionizing the interaction between robots and the real world. We are at the forefront of developing risk-aware, dependable, and field-ready AI systems that tackle the most intricate challenges in robotics, thereby unlocking the immense potential of embodied intelligence. Our approach transcends conventional data-driven methods and pure transformer architectures, positioning us to deliver globally deployed solutions that yield tangible results and evolve rapidly through real-world applications.Hardware TeamThe Hardware Team at Field AI specializes in crafting perception and computational payloads that empower autonomous robotic systems in complex real-world settings. Our endeavors encompass the entire hardware stack, which includes the design and integration of sensing systems (such as LiDAR, cameras, TOF, IMU, GPS), embedded computing (CPUs, GPUs, microcontrollers, ROS, sensor drivers), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). We emphasize both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). As a nimble and dynamic team, we are committed to continuously enhancing our core capabilities, system reliability, and scalability while establishing robust operational systems and processes from the ground up.UGV Systems Engineer RoleThe UGV Systems Engineer will focus on integrating comprehensive autonomy hardware (including sensors, computers, and electromechanical systems) with wheeled Unmanned Ground Vehicles. This role involves coordinating a multidisciplinary team of electrical, mechanical, and software engineers while collaborating closely with autonomy teams to ensure seamless integration and performance.

Field AI is revolutionizing the way robots engage with their environments. We are developing risk-aware, dependable, and field-ready AI systems to tackle the most intricate challenges in robotics, unleashing the complete potential of embodied intelligence. Our approach transcends conventional data-driven methods and purely transformer-based architectures, charting a pioneering path with globally deployed solutions that yield tangible results and swiftly enhance models through real-world applications.Hardware Team:The Hardware Team at Field AI designs and develops perception and computational payloads that empower autonomous robotic systems in complex real-world settings. Our responsibilities encompass the entire hardware stack, including the design and integration of sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded computing (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal management, ingress protection). We prioritize both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). As a dynamic, small team, our core values focus on enhancing: 1) foundational capabilities, 2) system reliability, and 3) system scalability. Being a growing unit, we are also establishing operational systems and procedures from the ground up. Embedded Compute Role:As an Embedded Compute Engineer within the Hardware Team at Field AI, you will play a crucial role in architecting, configuring, and validating the computing systems that form the backbone of our robotic platforms. Your responsibilities will encompass low-level firmware development, Linux-based configurations, and performance analysis across ARM and x86 single-board computer platforms. From firmware on microcontrollers to ROS data streams on SBCs, you’ll ensure the entire computing stack is optimized, reliable, and robust under field conditions. You will work closely with sensor, electrical, and autonomy teams to create tightly integrated solutions primed for deployment in demanding field environments. Although your primary focus will be on computing systems, you will also likely contribute across all hardware domains.

Join Field AI, a pioneering company revolutionizing robot interactions with the real world. We’re developing cutting-edge, risk-aware AI systems that solve the most intricate challenges in robotics, harnessing the full potential of embodied intelligence. Our innovative solutions have been globally deployed, yielding tangible results and continuously enhancing models through real-world applications.Our Hardware Team is at the forefront of designing and integrating perception and computational payloads that empower autonomous robotics systems to navigate complex environments. We handle the entire hardware stack, including sensing systems (LiDAR, cameras, TOF, IMU, GPS), embedded computing (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). Focused on both development (research, design, prototyping, testing) and operations (production, QA, debugging), our agile team is dedicated to enhancing core capabilities, reliability, and scalability as we build operational systems and procedures from the ground up.As a Mechanical Engineer Co-op with our Hardware Team, you will play a vital role in designing and implementing mechanical systems that protect and support our sensing and computing platforms in real-world settings. Your contributions will range from creating ruggedized enclosures to addressing thermal management and manufacturability challenges, ensuring our systems function reliably in the field. Your responsibilities will encompass the entire lifecycle from CAD design to production and field support, collaborating closely with electrical, computing, and systems engineers to deliver tightly integrated solutions for deployment in demanding environments. While your primary focus will be on mechanical systems, you will also have opportunities to contribute across various hardware domains.

Why Join Flux?At Flux, we are redefining hardware development by introducing the pioneering AI Hardware Engineer. Our mission is to democratize cutting-edge hardware creation and transform the global landscape of electronics design and manufacturing.Your RoleWe are seeking a seasoned leader in electrical engineering to spearhead our hardware design practices and principles. You will play a crucial role in enhancing our ECAD tool's capabilities and ensuring the integrity of our AI Hardware Engineer's knowledge and design strategies. Collaborating closely with product leadership, you will help shape and prioritize the advancement of AI capabilities, evaluation frameworks, and scalable strategies that empower our community to execute successful PCB projects. This position offers the opportunity to expand our Hardware Design function and team significantly.This is a high-impact, multidisciplinary role ideal for someone with a proven track record of developing complex electronics for mass production, such as smartphones, wearables, high-performance computing devices, networking equipment, and robotics, who enjoys translating real-world engineering challenges into innovative tools and AI functionalities.Key ResponsibilitiesLead ECAD Feature Development – Define product requirements for essential ECAD functionalities including placement/routing, constraints management, stackup, impedance control, DRC/DFM, manufacturing outputs, and prototyping workflows. Collaborate on specifications, validate through internal testing, beta programs, and comprehensive user feedback.Collaborate with AI/ML Teams – Educate the world’s first AI hardware engineer on effective product design practices. Establish best practices, guidelines, and evaluation frameworks; curate datasets; assess AI-generated designs; and cultivate the AI expertise to enable successful hardware production from the first run, avoiding common pitfalls.Enhance the Hardware Design Team – Start as an active manager overseeing two team members, progressively refining the team's responsibilities and scaling to create reference designs, demos, product specifications, training materials, and feedback mechanisms.Prototype Real Hardware – Oversee rapid prototyping (from schematic to realization) to showcase product/AI capabilities. Instrument designs for signal integrity, power integrity, and thermal validation; utilize data to close the feedback loop.Enhance User Experience – Take ownership of and improve current user experience metrics, feedback loops, and user engagement processes to inform our iterative product development.

About VoltaiVoltai is at the forefront of developing advanced models and agents capable of learning, evaluating, planning, experimenting, and interacting with the physical world. Our mission begins with the design and creation of innovative hardware, including electronic systems and semiconductors, where artificial intelligence can surpass human cognitive capabilities.About the TeamOur team is supported by leading investors from Silicon Valley, including Stanford University and industry leaders from Google, AMD, Broadcom, Marvell, among others. Comprising former Stanford professors, SAIL researchers, Olympiad medalists, CTOs of prominent tech companies, and senior advisors to several U.S. presidents, we bring a wealth of experience and innovation to our projects.About this RoleIn this pivotal role, you will be responsible for the design, development, and validation of cutting-edge compute and storage platforms that will drive Voltai’s AI-enhanced design engines. Your expertise will span board design, mechanical integration, and thermal systems, enabling you to create efficient and scalable hardware optimized for simulation, training, and verification tasks.

Field AI is at the forefront of revolutionizing robotic interactions with the real world. We are dedicated to developing AI systems that are risk-aware, reliable, and ready for field deployment, tackling complex challenges in robotics to unlock the full potential of embodied intelligence. Our innovative approach transcends traditional data-driven methods and pure transformer architectures, leading to globally deployed solutions that yield real-world results and enhance models through practical applications.Hardware Team:The Hardware Team at Field AI focuses on creating perception and computational payloads that empower autonomous robotic systems in intricate real-world settings. Our expertise encompasses the entire hardware stack, including the design and integration of sensing systems (such as LiDAR, cameras, TOF, IMU, GPS), embedded computing (CPUs, GPUs, microcontrollers, ROS, sensor drivers), electrical systems (power distribution, communication), and mechanical components (structures, thermal management, ingress protection). Our team is committed to both development (research, design, prototyping, testing) and operations (production, testing, quality assurance, debugging). As a nimble and dynamic team, we are passionate about enhancing: 1) core capabilities, 2) system reliability, and 3) system scalability. Additionally, we are establishing operational systems and procedures from the ground up. Sensor Systems Role:As a Sensor Systems Engineer on the Hardware Team, you will play a crucial role in the design, integration, calibration, and validation of the sensor systems that serve as the backbone of our autonomy stack. You will engage with a wide variety of sensors—including LiDAR, depth cameras, IMUs, and GPS—ensuring each sensor provides precise, time-synchronized, and spatially consistent data across diverse environments and operating conditions. Collaboration will be key, as you will work closely with autonomy, computing, electrical, and mechanical teams to create robust, integrated solutions poised for deployment in challenging field conditions. While your primary focus will be on sensors, your contributions may extend across all hardware domains.

Join Our Team as a Full-Time AI Software InstallerAre you ready to dive into the world of artificial intelligence? We are on the lookout for reliable and tech-savvy individuals to fill the role of Full-Time AI Software Installer. This exciting position involves the deployment, configuration, and fundamental setup of cutting-edge AI-driven software systems. With paid training and certification opportunities, this is your chance to build a rewarding career in a rapidly evolving technology field.Training & Certification ProgramsTraining available across TexasComprehensive paid training providedSeven weeks of virtual instruction followed by one week of in-person trainingCertification granted upon successful completion of the programTraining starts at the end of April 2026Remote interviews for prospective candidatesKey ResponsibilitiesInstall and configure AI software systems based on project specificationsAssist with system setup, testing, and basic troubleshooting tasksAdhere to software deployment procedures and security protocolsSupport user documentation and configuration effortsCollaborate with technical teams to ensure successful installationsProvide updates on progress and issues to supervisors

About UsGraphcore is at the forefront of innovation in Artificial Intelligence computing. We are committed to developing cutting-edge hardware, software, and systems infrastructure that will enable the next wave of AI advancements and facilitate the pervasive integration of AI across various sectors.As part of the SoftBank Group, Graphcore is included in a prestigious network of companies driving some of the most revolutionary technologies of our time. Our collective ambition is to realize Artificial Super Intelligence and ensure its advantages are accessible to all.Our teams are composed of diverse talent, with backgrounds spanning AI research, silicon design, software engineering, and systems architecture. At Graphcore, we foster a culture of continuous learning and relentless innovation.Job SummaryWe are looking for a skilled AI Hardware Systems Engineering and Debug Lead to spearhead system-level debugging and bring-up processes for Graphcore's next-generation AI data center platforms.The ideal candidate will manage intricate debugging tasks across hardware, firmware, and software for blade and rack-level systems. This position emphasizes the creation of scalable debugging strategies, the enhancement of debugging efficiency, and the assurance of prompt resolution of system-level challenges throughout the product lifecycle.