Senior Hardware Systems Engineer

Who We AreSamsara (NYSE: IOT) is at the forefront of the Connected Operations™ Cloud, a transformative platform that empowers businesses reliant on physical operations to tap into Internet of Things (IoT) data. Our aim is to provide actionable insights that enhance safety, efficiency, and sustainability across vital industries such as agriculture, constructi…

About Humble RoboticsAt Humble Robotics, we are pioneering a transformative shift in ground transportation. We are developing an autonomous, zero-emissions hauler that significantly reduces freight costs through innovative vision-based AI, tailored for the modern global logistics network. Join our dynamic and close-knit team of industry veterans and creative thinkers. We believe that a strong culture cannot be engineered, but when it comes together, it creates an extraordinary adventure. Progress has never felt so imminent. Position OverviewTake ownership of system-level requirements and architecture for our autonomous vehicle platform. You will translate product and safety objectives into clear, testable requirements across various domains, including computing, networking, sensors, telematics, and power distribution. You will also lead design reviews and validation processes to ensure end-to-end compliance with these requirements.

Physical Intelligence seeks a Hardware Systems Engineering Intern to support its core hardware team in San Francisco. This group maintains the infrastructure behind a robotic fleet that performs real-world tasks, from washing dishes for hours to brewing coffee in both warehouse and unpredictable outdoor settings. Role overview The hardware team operates at the intersection of mechanical, electrical, and systems engineering. Team members work closely with software, controls, and manufacturing engineers to transition robots from prototypes into production. Daily work includes developing and running test protocols, troubleshooting failures in the field, and building systems that ensure reliability in a range of environments. What you will do Cross-disciplinary problem solving: Address challenges that combine mechanical, electrical, and control systems. Analyze ambiguous issues, identify root causes, and design practical fixes. Reliability analysis: Collect data and conduct reliability studies to spot failure trends, monitor system uptime, and contribute to investigations using methods such as RCCA and FMEA. Failure tracking: Build failure pareto charts to highlight key failure causes and timing. Work with engineers across disciplines to monitor system performance throughout different builds and deployments. Tooling and process design: Design and construct tools, jigs, and processes that improve speed, safety, and reliability for the robot fleet. Test protocols: Execute and refine testing procedures for new hardware, field repairs, and post-service checks. Build and production support: Assist with hardware builds, inventory tracking, materials handling, and vendor coordination. Configuration and serialization: Help implement configuration, serialization, and test tracking systems to streamline service and replacement processes. Requirements Pursuing or completed a Bachelor's degree in Mechanical or Mechatronics Engineering.

About Our TeamAt OpenAI, our Hardware team specializes in developing cutting-edge silicon and system-level solutions tailored to meet the rigorous demands of advanced AI applications. We are at the forefront of creating the next generation of AI-native silicon and collaborate closely with our software and research partners to ensure our hardware is seamlessly integrated with AI models. Our mission extends beyond just delivering production-grade silicon for OpenAI’s supercomputing infrastructure; we are also dedicated to innovating custom design tools and methodologies that enhance hardware optimized for AI.About the PositionWe are seeking a highly skilled Mechanical Engineer with a minimum of 7 years of experience in the design of IT hardware, encompassing everything from chip/package to system levels. In this role, you will collaborate with a team of experts across thermal, mechanical, electrical, software, and systems engineering to support the design, analysis, and validation of mechanical and thermal systems that guarantee the reliability, efficiency, and longevity of critical hardware. A strong analytical mindset, hands-on testing experience, and the ability to thrive in a fast-paced, multidisciplinary environment are essential for success in this role.This position is based in San Francisco, CA, and follows a hybrid work model, requiring 3 days in the office per week. We also offer relocation assistance for new hires.Key ResponsibilitiesLead mechanical designs for AI supercomputer products within data center applications.Collaborate with cross-functional teams to design and enhance thermal solutions for data center hardware, including chips, power modules, and system-level cooling architectures.Integrate thermal management strategies into hardware designs from concept through to mass production.Design and validate mechanical systems such as chassis, enclosures, and cooling systems while ensuring compliance with performance and reliability standards.Conduct 3D modeling, finite element analysis (FEA), tolerance analysis, and prototyping to ensure manufacturability and adherence to stringent quality requirements.Perform mechanical testing, including vibration, shock, and thermal cycling, to ensure long-term reliability under extreme operating conditions.Identify and assess new technologies and methodologies to enhance mechanical and thermal performance in product designs, contributing expertise in mechanical design to new product development initiatives.

Lumafield develops X-Ray CT scanners designed to make advanced imaging more accessible and affordable. The company’s cloud software provides engineers with detailed visualization tools, helping them analyze complex products and make informed decisions. Role overview This full-time, on-site Hardware Systems Engineer position is based in San Francisco. The role centers on leading hardware development for industrial CT scanners. Collaboration with researchers and designers is a key part of the job, with a focus on improving product development for a range of industries. What you will do Lead hardware systems development for industrial CT scanners Design and manage electrical architecture Develop firmware and oversee system integration Work hands-on to transform concepts into working products Collaborate with cross-functional teams to address customer needs Team and collaboration The engineering team includes experienced researchers and designers who value curiosity and rigor. The group is impact-driven and backed by leading venture capital firms. Location This role requires working on-site at Lumafield’s San Francisco office.

About GridwareGridware is an innovative technology firm headquartered in San Francisco, committed to safeguarding and enhancing the reliability of the electrical grid. We have pioneered a revolutionary approach to grid management known as Active Grid Response (AGR), which meticulously monitors the electrical, physical, and environmental factors influencing grid safety and reliability. Our state-of-the-art AGR platform leverages high-precision sensors to identify potential issues at an early stage, facilitating proactive maintenance and fault resolution. This holistic strategy is designed to bolster safety, minimize outages, and ensure optimal grid performance. We are proud to be supported by prominent climate-tech and Silicon Valley investors. To learn more, visit www.Gridware.io.About the RoleWe are seeking a skilled Senior Hardware Reliability Engineer to lead reliability testing, analysis, and lifetime modeling of various outdoor electronic assemblies. This pivotal role will concentrate on the electronic components of our products, collaborating closely with our mechanical-focused Reliability Engineer and engaging with the broader hardware and cross-functional teams.

Company OverviewEcho Neurotechnologies is a pioneering startup specializing in Brain-Computer Interface (BCI) technology. We are committed to pushing the boundaries of innovation through state-of-the-art hardware engineering and artificial intelligence solutions. Our goal is to create transformative technologies that empower individuals with disabilities, enhancing their autonomy and overall quality of life.Team CultureBecome a part of our dedicated team of passionate and skilled professionals. In our dynamic early-stage environment, you will have the chance to influence key decisions that will have lasting impacts. We prioritize continuous learning and development, promoting cross-functional collaboration where your input is essential to our collective success.Role OverviewWe are on the lookout for a seasoned Senior Hardware Test Engineer to validate our custom Echo hardware systems. In this role, you will lead the testing processes for our specialized hardware devices and subsystems while developing and implementing custom test systems.Primary ResponsibilitiesConduct in-house design verification testsCoordinate testing with external laboratoriesCollaborate with the engineering team to create tailored testing solutionsWork alongside design engineers to characterize unique hardwarePrepare tests for vendor transfer

At Crusoe, our mission is to propel the availability of energy and intelligence. We are designing the engine that fuels a future where individuals can ambitiously innovate with AI, all while upholding standards of scale, speed, and sustainability.Join us in the AI revolution powered by sustainable technology at Crusoe. Here, you will spearhead significant innovations, make a lasting impact, and collaborate with a team that is leading the charge in responsible, transformative cloud infrastructure.About This Role:We are on the lookout for a Hardware Production / Sustaining Engineer to enhance Crusoe’s Hardware Systems Engineering team and address critical skill gaps in debugging, validation, and production support of high-performance computing systems. In this role, you will oversee the entire hardware lifecycle—from prototype initiation to mass production—while driving automation, resolving intricate issues, and ensuring reliability across Crusoe Cloud’s GPU- and CPU-based infrastructure.You will collaborate closely with cross-functional teams to support, debug, and optimize hardware platforms at scale, with a specific focus on PCIe, InfiniBand, and NVMe/storage, which are recognized as vital areas for enhanced expertise. Your contributions will significantly influence Crusoe’s capability to deploy and manage sustainable, AI-first computing systems that deliver world-class performance and reliability.What You’ll Be Working On:Lead the entire hardware development and sustaining lifecycle, encompassing feasibility, bring-up, validation, deployment, and ongoing production support.Create and maintain scripting and automation frameworks for hardware testing, diagnostics, and continuous reliability enhancements.Guide deep troubleshooting and debugging across:PCIe (link training, topology, performance issues)InfiniBand (fabric debugging, throughput, connectivity issues)NVMe/storage (performance bottlenecks, firmware interactions, failure analysis)Perform thorough system validation and characterization for GPU, CPU, and high-performance computing platforms.Assist in end-to-end integration and solution testing to guarantee that Crusoe Cloud products fulfill performance, reliability, and scalability standards.Work in tandem with mechanical, thermal, firmware, software, and manufacturing teams to resolve system-level challenges.

Airbnb connects millions of hosts and guests, offering stays and experiences in locations around the world. Since 2007, the company has helped over 2 billion guest arrivals discover new places and cultures. Role Overview The BizTech team at Airbnb is hiring a Staff Systems Engineer focused on Oracle EPM Planning systems. This role plays a key part in supporting the Finance team, acting as the technical architect and primary developer for the EPM environment. Main Responsibilities Design and develop scalable Oracle EPM solutions for Finance Budgeting and Forecasting. Build and refine financial forecasting models. Drive process improvements using AI technologies. Integrate EPM with data warehouse systems. Translate complex business requirements into technical solutions within Oracle EPM.

Join Crusoe as a Senior Staff Systems Administrator, where you will play a pivotal role in managing and optimizing our systems infrastructure. You will work closely with cross-functional teams to ensure seamless operations and high availability of our services.Your responsibilities will include monitoring system performance, troubleshooting issues, and implementing best practices to enhance our infrastructure. This position requires a deep understanding of system administration and a passion for technology.

About the TeamThe Scaling team at OpenAI forms the architectural and engineering foundation of our infrastructure. We innovate and implement advanced systems that facilitate the deployment and operation of next-generation AI models. Our responsibilities encompass system software, networking, platform architecture, fleet-level monitoring, and performance enhancement.About the RoleWe are seeking a skilled software engineer proficient in transforming early-stage, sometimes chaotic, pre-production hardware into stable, operational systems. You will be pivotal in bootstrapping, imaging, integrating with the Kubernetes control plane, and ensuring observability. Your role will bridge early hardware bring-up, provisioning automation, fleet and cluster management, and integration with lab or cloud services—effectively converting new SKUs into usable capacity for our internal stakeholders.Key ResponsibilitiesManage the comprehensive bring-up and bootstrapping process for new systems and compute nodes, transitioning from bare metal or early access in lab or production/cloud settings to schedulable fleet capacity, including image building, user-data/configuration, cluster joining, and readiness gates.Develop and uphold top-tier golden image and provisioning workflows across lab and production environments, collaborating with partner-provided base images while ensuring OS/version compatibility.Collaborate with partner teams to integrate nodes into our fleet infrastructure and Infrastructure as Code (IaC) pipelines (Terraform, Chef, etc.), guaranteeing that cloud resources align seamlessly with our internal lifecycle expectations.Work closely with scheduling and platform owners to ensure new hardware is accessible and properly scheduled, addressing pool definitions, network connectivity, routing, admission controls, and platform-specific requirements.Ensure registration and inventory accuracy, providing hands-on support to track nodes and their metadata from end to end.Partner with teams to establish baseline health and telemetry monitoring for bring-up, including critical health signals, pass/fail assessments, and automated reporting for initial ramp decisions.Troubleshoot issues across various layers, including PXE/boot-loader, UEFI/BIOS, BMC, OS bring-up, NIC/network accessibility, kubelet/control-plane connectivity, storage limitations, and early lab/rack scenarios.

Impulse, based in San Francisco, brings together engineers, designers, and innovators to build high-performance products for whole-home electrification. The team focuses on making sustainable home choices both practical and attractive, aiming for solutions that last without compromise. Role overview The Hardware System Technical Program Manager guides complex hardware systems from initial concept through production and launch. This role sits at the center of the hardware product lifecycle, ensuring seamless integration of systems into Impulse’s products. What you will do Lead cross-functional teams, including Mechanical, Electrical, and Firmware Engineers, through every stage of hardware development Coordinate efforts with Product Management, Finance, Tech Operations, Marketing, and company leadership Drive hardware program execution, keeping projects aligned with business objectives and timelines Manage collaboration with joint development partners and internal stakeholders Location This position is based in San Francisco.

At Crusoe, our mission is to drive the evolution of energy and intelligence. We are developing the technology that fuels a future where individuals can ambitiously harness AI capabilities without compromising on scale, speed, or sustainability.Join us in revolutionizing AI with sustainable solutions at Crusoe. In this role, you will be at the forefront of innovation, making a significant impact while collaborating with a team that is shaping the future of responsible and transformative cloud infrastructure.About This Role:We are looking for a dedicated Hardware Production/Sustaining Engineer to enhance Crusoe's Hardware Systems Engineering team. This position is critical for bridging essential skill gaps in debugging, validation, and production support for high-performance computing systems. You will manage the entire hardware lifecycle—from prototype initiation to large-scale production—focusing on automation, deep troubleshooting, and reliability within Crusoe Cloud’s GPU- and CPU-oriented infrastructure.Your collaboration with cross-functional teams will be vital in supporting, debugging, and enhancing hardware platforms on a large scale, specifically targeting PCIe, InfiniBand, and NVMe/storage, which have been highlighted as key areas for expanded expertise. Your contributions will directly influence Crusoe’s capability to deploy and maintain sustainable, AI-driven computing systems that deliver exceptional performance and reliability.Your Responsibilities Will Include:Leading the complete hardware development and sustaining lifecycle, encompassing feasibility studies, bring-up, validation, deployment, and ongoing production support.Creating and sustaining automation frameworks and scripts for hardware testing, diagnostics, and continual reliability enhancements.Executing in-depth troubleshooting and debugging across:PCIe (including link training, topology, and performance issues)InfiniBand (focusing on fabric debugging, throughput, and connectivity challenges)NVMe/storage (addressing performance bottlenecks, firmware interactions, and failure analyses)Performing extensive system validation and characterization for GPU, CPU, and high-performance computing platforms.Assisting in end-to-end integration and solution testing to guarantee that Crusoe Cloud products fulfill performance, reliability, and scalability standards.Collaborating with teams across mechanical, thermal, firmware, software, and manufacturing domains to troubleshoot and enhance system performance.

Fastly is looking for a Staff Engineer to join the Edge Systems Efficiency team. This role centers on enhancing the performance, scalability, and efficiency of Fastly’s edge computing platforms. The work has a direct impact on the reliability and speed of Fastly’s global infrastructure. What you will do Optimize edge systems for greater efficiency and improved performance. Collaborate with cross-functional teams to identify and resolve technical challenges. Apply technical expertise to support new solutions and drive improvements at scale. Locations Denver, CO New York City, NY San Francisco, CA

We are seeking a motivated and detail-oriented Hardware Systems Engineer I to join our innovative team at Crusoe. In this role, you will contribute to the design, implementation, and optimization of advanced hardware systems. You will work closely with cross-functional teams to ensure the successful integration of hardware solutions into our growing infrastructure.

Join our innovative team at Crusoe as a Staff Software Engineer, where you will leverage your expertise in systems engineering to develop cutting-edge software solutions. In this dynamic role, you will collaborate with cross-functional teams to design, implement, and optimize systems that drive our mission forward. Your contributions will be pivotal in enhancing our technology stack and ensuring the seamless operation of our systems.

About LightfieldLightfield is an innovative, AI-driven Customer Relationship Management (CRM) platform that seamlessly integrates your email, calendar, and meeting interactions. By capturing every communication, it transforms these interactions into organized insights, including accounts, tasks, follow-ups, and actionable intelligence, ensuring nothing falls through the cracks.We are revolutionizing CRM from the ground up. Rather than imposing rigid structures on teams, Lightfield learns from real-world workflows, adapting and automating processes while surfacing crucial insights that propel growth. Our goal is to build the CRM platform we've always dreamed of: fast, intelligent, and genuinely supportive.Supported by renowned investors such as Greylock, Lightspeed, and Coatue, our team includes experts who have previously developed Tome, a generative AI presentation tool utilized by over 25 million users. Our background also includes significant contributions to projects at Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are in search of a seasoned Senior/Staff Software Engineer (5+ years of experience) who is product-oriented and excited to confront the challenges of developing highly scalable, high-performance, and robust features and systems that deliver cutting-edge AI product experiences. At Lightfield, engineers assume full ownership of projects from inception to impact, collaborating across various functions and pushing the boundaries of what's achievable in applied AI systems development. You will be working with a talented team to deliver industry-leading solutions and play a pivotal role in shaping the product and technical direction of Lightfield.What You Will DoPartner with product leaders to outline strategic initiatives, pinpoint key customer challenges, and translate requirements into technical execution.Design, build, and maintain intricate full-stack product features and systems, ensuring reliability, scalability, and high performance.Create observability and metrics to facilitate smooth operations, proactive issue identification, and ongoing enhancements.Lead technical design discussions, mentor colleagues at various levels, conduct comprehensive code reviews, and help establish engineering best practices and standards.Contribute to the development of a top-tier engineering team through recruitment, mentorship, and knowledge transfer.Who You Are5+ years of software development expertise, with a solid foundation in both front-end and back-end technologies.Proven experience in constructing large-scale, high-performance, and maintainable systems and products, utilizing modern programming languages and frameworks.

Fastly seeks a Staff Hardware Design Engineer to influence the hardware foundation of its global network. This position centers on creating and refining hardware systems that support the performance and reliability of Fastly’s infrastructure. Key responsibilities Design and develop hardware systems that enable Fastly’s network operations. Partner with teams across disciplines to shape and improve hardware designs. Apply technical knowledge to strengthen hardware capabilities. Assist with the rollout and deployment of new hardware solutions. Locations Denver, CO New York City, NY San Francisco, CA

Ironclad is at the forefront of revolutionizing contract management through its advanced AI contracting platform, which transforms agreements into strategic assets. Our platform accelerates the contracting process, delivers immediate insights, and empowers teams to drive progress, all while keeping you in control. Whether facilitating purchases or sales, Ironclad streamlines the entire process on a single intelligent platform, equipping leaders with the visibility they need to stay ahead of the curve. This is why leading organizations, from Rivian to the World Health Organization and the Associated Press, trust Ironclad to enhance their operational efficiency.Recognized as an industry leader, Ironclad has earned accolades including being a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work, and Fast Company’s Most Innovative Workplaces. Additionally, we have been featured in Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. Our growth is fueled by prestigious investors such as Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more details, visit www.ironcladapp.com or connect with us on LinkedIn.This is a hybrid position requiring in-office attendance at least twice a week on Tuesdays and Thursdays for collaboration and team engagement. Additional in-office days may be scheduled for team or company events.About the RoleAs a Staff Systems Engineer, Automations & Integrations, you will take on a pivotal technical leadership role, crafting and implementing enterprise-wide automations, AI-driven workflows, and managed data integrations across Ironclad’s technology ecosystem. You will collaborate with various teams (GTM, EPD, G&A, etc.) to design resilient, observable automation frameworks and integrations that significantly enhance both employee and customer experiences, as well as accelerate business operations. Your deep technical knowledge in tools such as Workato, Glean, and our core SaaS/identity stack will be crucial in establishing reusable frameworks, comprehensive error handling, and reliable data flows that scale efficiently.This position is primarily individual contributor-oriented, with a broad impact scope: you will closely engage with stakeholders and engineering colleagues, mentor fellow automation engineers, and steer the technical direction for high-impact projects in automations, integrations, and AI.

About Our TeamAt OpenAI, our Hardware organization is at the forefront of developing cutting-edge silicon and system-level solutions tailored for the specific demands of advanced AI workloads. Our team is dedicated to creating the next generation of AI-native silicon, collaborating closely with software and research partners to co-design hardware that is seamlessly integrated with AI models. We not only deliver production-grade silicon for OpenAI’s supercomputing infrastructure but also innovate custom design tools and methodologies that drive acceleration and optimization specific to AI.About This RoleAs a member of our hardware optimization and co-design team, you will play a crucial role in co-designing future hardware from various vendors, focusing on programmability and high performance. You will partner with our kernel, compiler, and machine learning engineers to comprehend their distinct requirements concerning ML techniques, algorithms, numerical approximations, programming expressivity, and compiler optimizations. Your advocacy for these constraints will help shape and influence future hardware architectures aimed at efficient training and inference for our models. If you are passionate about efficiently distributing large language models across devices, optimizing system-wide networking bottlenecks, and customizing the compute pipeline and memory hierarchy of hardware platforms while simulating workloads at various abstraction levels, then this opportunity is perfect for you!This position is based in San Francisco, CA, utilizing a hybrid work model of three days in the office each week, with relocation assistance available for new hires.Key Responsibilities:Collaborate on the co-design of future hardware focusing on programmability and performance with hardware vendors.Support hardware vendors in developing optimal kernels and integrating support within our compiler.Generate performance estimates for critical kernels across diverse hardware configurations, influencing decisions regarding compute core and memory hierarchy features.Create system performance models at various abstraction levels and conduct analyses to guide decisions on scaling and front-end networking.Engage with machine learning engineers, kernel engineers, and compiler developers to align on high-performance accelerator needs.Facilitate communication and coordination with internal and external partners.Shape the roadmap for hardware partners to optimize their products for our AI capabilities.