Entry-Level Hardware Systems Engineer

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.

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.

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, construction, transportation, and manufacturing. By digitally transforming these sectors, which represent over 40% of global GDP, we are contributing to a more efficient and sustainable economy.Joining Samsara means being part of a team that is defining the future of physical operations. You will engage in cutting-edge solutions, including Video-Based Safety, Vehicle Telematics, and Equipment Monitoring, within a supportive environment that fosters innovation and long-term impact.About the Role:We are seeking a Senior Hardware Systems Engineer to enhance our rapidly expanding product line. Your primary responsibility will involve leading the electrical engineering components of product architecture and design, grounded in comprehensive feasibility, design, and cost analyses. This encompasses critical aspects such as component selection, thermal management, and antenna design. You will leverage extensive telemetry and direct customer insights to inform and refine our product designs. Collaborating closely with Product Management, Firmware, and Hardware leadership, you will influence key engineering decisions while mentoring fellow engineers. The role will also require interaction with our US and Taiwan EE teams, as well as our Supply Chain and laboratory resources, to achieve our project goals effectively.This role is hybrid, requiring you to be in our San Francisco, CA office three days a week, with the flexibility to work remotely for two days. Travel may be necessary up to 25% of the time, and proximity to an international airport is essential. We offer relocation assistance for this position and welcome candidates from across the U.S. who are willing to relocate to the Bay Area.

Join our client, a pioneering company that specializes in the development of advanced connected hardware-software systems. These innovative solutions provide real-time insights into physical infrastructure through distributed wireless sensing platforms.Their cutting-edge technology integrates modular sensor hardware, ruggedized computing systems, and wireless mesh networking to empower organizations to effectively monitor and engage with physical assets in diverse industrial and operational settings.We are seeking a dynamic Lead Mechanical Engineer to spearhead the design and deployment of modular sensor products and compute platforms used in extensive wireless sensing systems. In this pivotal role, you will collaborate across various teams—including product management, electrical engineering, firmware, and manufacturing—to architect and develop mechanical systems that facilitate mesh networking of sensors in challenging real-world environments. Additionally, you will be responsible for designing actuator systems that seamlessly integrate within these sensing networks.

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.

At Mechanize, we specialize in developing reinforcement learning (RL) environments that empower AI models to execute real-world tasks efficiently. Our mission is to drive the complete automation of the economy, providing innovative solutions to leading AI laboratories. Discover more about our work at mechanize.work.As a Senior Software Engineer at Mechanize, you will contribute to the creation of RL environments that are pivotal in the field of AI model training. Ideal candidates will have 2-5 years of software engineering experience with proficiency in Python programming. Previous experience in machine learning or AI is not a prerequisite.For insights on our interview process, visit: Interview Process at Mechanize.

At Mechanize, we are pioneering the development of Reinforcement Learning (RL) environments tailored to train AI models for real-world applications. Our ambition is to facilitate the complete automation of the economy, partnering with leading AI laboratories. Discover more at mechanize.work.As a Software Engineering Intern at Mechanize, you will play a pivotal role in assisting our team to develop these groundbreaking RL environments. If you have a solid command of Python programming and possess a keen intellect, we would love to hear from you.We are currently seeking interns for Winter 2026, Spring 2026, and Summer 2026.No prior experience in machine learning or AI is necessary.Curious about our interview process? Learn more here: https://www.mechanize.work/how-our-interview-process-works/

Join mechanize as a Senior Software Engineer, where you'll contribute to innovative software solutions that shape the future of technology. In this role, you will lead projects, mentor junior developers, and collaborate with cross-functional teams to deliver high-quality software products. Your expertise will drive architectural decisions and enhance our development processes.

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 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.

About PAX Labs At PAX Labs, we are dedicated to transforming the consumer experience through innovative, high-quality products that respect the plant and elevate everyday moments. For nearly two decades, we have been at the forefront of the industry, delivering products that are trusted by millions around the globe. Our ethos revolves around placing people at the heart of our operations, fostering collaboration, and ensuring a fun work environment. Recognized by various esteemed publications such as The New York Times, TIME, and Fast Company, we pride ourselves on our award-winning designs and commitment to sustainability, being certified Plastic Negative by rePurpose Global. Role Overview We are seeking a passionate and results-driven Director of Mechanical Engineering to join our dynamic team at PAX Labs. Reporting directly to the VP of Engineering, you will lead a talented group of Mechanical Engineers focused on the design, development, and continuous improvement of our hardware products. This pivotal role acts as a facilitator among various departments, including embedded systems, product integrity, sourcing, and product management, ensuring seamless collaboration to realize our vision for high-performance devices. Your leadership will be instrumental in maintaining our commitment to excellence, driving design reviews, and elevating the sophistication of our products while adhering to strict timelines. You will also be responsible for nurturing our Mechanical Engineering team, refining design processes, and implementing best practices to achieve outstanding results.

About Our TeamAt OpenAI, our Hardware team is dedicated to innovating system-level and silicon solutions tailored for the demanding requirements of cutting-edge AI applications. We seamlessly integrate mechanical, thermal, electrical, and systems engineering to transform high-performance, mission-critical hardware from initial design to mass production.We collaborate closely with design engineers, operations, TPM, and external manufacturing partners, ensuring that our AI infrastructure is not only reliable and efficient but also designed for scalability.About the RoleWe are seeking a seasoned Manufacturing Engineer to spearhead thermal-mechanical manufacturing projects throughout the lifecycle of next-generation AI hardware systems. In this pivotal role, you will be responsible for driving the design, validation, and quality strategies of manufacturing processes from concept to mass production.You will engage cross-functionally with mechanical, thermal, electrical, and systems engineers to ensure our data center hardware platforms meet stringent performance, reliability, and scalability standards at both the component and rack levels. This position demands strong analytical skills, hands-on manufacturing experience, and the ability to thrive in a fast-paced, interdisciplinary environment.This role is based in San Francisco, CA, operating under a hybrid work model of three days in the office each week. We also offer relocation assistance to qualified new hires.Key ResponsibilitiesLead thermal-mechanical manufacturing and quality initiatives to guarantee product success from concept through launch and high-volume production.Own the manufacturing process design for next-generation AI hardware systems, collaborating with engineering, operations, TPMs, suppliers, and external partners.Work cross-functionally to design and optimize mechanical and thermal solutions for large-scale data center deployment.Design and validate manufacturing processes for chassis, enclosures, cooling systems, and high-power connections, aligning with performance and reliability standards.Conduct hands-on DFM/DFx analysis across design, development, prototyping, testing, and production phases.Research and implement automation techniques to enhance manufacturing efficiency and scalability.Define and manage manufacturing requirements, scope, schedules, and deliverables in collaboration with both internal and external stakeholders.Partner with suppliers to develop validation plans that ensure reliability and performance criteria are met.

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.

Vivodyne: Innovating Human Data for Clinical Trials.At Vivodyne, we revolutionize the discovery, design, and development of human therapeutics. By utilizing large, lab-grown human organ tissues at unprecedented scale, we propel technological advancements at the intersection of cutting-edge biology, robotics, and artificial intelligence. Our innovative approach allows us to identify and validate new therapeutic targets while de-risking therapeutic assets through the generation of clinically translatable multi-omic data. This capability enables the production of more human data than all clinical trials in the U.S. combined. We are supported by some of the most prestigious venture funds and have established partnerships with many of the world's leading pharmaceutical companies to enhance drug discovery and development while significantly reducing reliance on animal testing.www.vivodyne.comRole OverviewAs the Principal Mechanical Engineer at Vivodyne, you will collaborate within a dynamic, multi-disciplinary team, pioneering advancements in automated, large-scale "organ-on-a-chip" robotics and associated manufacturing systems. Your primary focus will be on the development and optimization of hardware and software that coordinates robotic arms, embedded controllers, and microfluidic systems to facilitate high-throughput and high-precision biological workflows.This position demands a strong expertise in hardware, although knowledge in software is beneficial. You will engage with high-level motion control, machine vision, and robotics programming, working primarily with Python, while occasionally interacting with C# and C++ codebases to ensure seamless system integration and optimal performance.As an expert in mechanical design, you have a deep understanding of concepts like kinematic docking, material selection (440 vs 316), finite element analysis (FEA), and error budgets. You are well-acquainted with suppliers such as McMaster-Carr, Misumi, and Grainger.Collaboration is essential in this role; you will work closely with mechanical engineers, biologists, immunologists, AI scientists, and process engineers to design and enhance automation workflows that lead to groundbreaking discoveries. We seek a problem-solver who thrives in a fast-paced, innovative environment that prioritizes continuous learning and technical excellence.This is a full-time, onsite position located in San Francisco, where you will be integral to designing, building, and testing transformative technologies.

About Our TeamAt OpenAI, our Hardware team is at the forefront of developing cutting-edge silicon and comprehensive system solutions tailored to the specific needs of advanced AI workloads. We pride ourselves on crafting the next generation of AI-native silicon, collaborating closely with software engineers and research teams to ensure our hardware is seamlessly integrated with AI models. Our mission extends beyond creating production-grade silicon for OpenAI’s supercomputing infrastructure; we also innovate custom design tools and methodologies that spark innovation and enable hardware specifically optimized for AI.About the RoleAs a Software Engineer on the Scaling team, you will play a pivotal role in designing and optimizing the foundational stack that manages computation and data flow across OpenAI’s supercomputing clusters. Your responsibilities will include crafting high-performance runtimes, developing custom kernels, enhancing compiler infrastructure, and building scalable simulation systems to validate and optimize distributed training workloads.This position requires you to work at the intersection of systems programming, machine learning infrastructure, and high-performance computing, where you will create intuitive developer APIs alongside highly efficient runtime systems. You will balance usability and introspection with the imperative for stability and performance across our dynamic hardware landscape.This role is based in San Francisco, CA, featuring a hybrid work model (three days in-office per week). Relocation assistance is provided.Key Responsibilities:Design and implement APIs and runtime components to efficiently manage computation and data movement for diverse ML workloads.Enhance compiler infrastructure by developing optimizations and compiler passes to accommodate evolving hardware advancements.Engineer and refine compute and data kernels, ensuring precision, high performance, and compatibility across simulation and production settings.Analyze and optimize system bottlenecks, focusing on I/O, memory hierarchy, and interconnects at both local and distributed scales.Create simulation infrastructure to validate runtime behaviors, test modifications to the training stack, and support the early development of hardware and systems.Quickly deploy updates to runtime and compiler across new supercomputing builds in close collaboration with hardware and research teams.Work across a varied tech stack, primarily utilizing Rust and Python, with a chance to influence architectural decisions within the training framework.

Be Part of the Team Revolutionizing Autonomy in ConstructionAt Bedrock Robotics, we are at the forefront of transitioning artificial intelligence from theoretical frameworks to practical applications. Our team consists of seasoned professionals who have been instrumental in launching Waymo, scaling Segment to a $3.2 billion acquisition, and driving Uber Freight to $5 billion in revenue. We are currently implementing autonomous systems on heavy construction machinery nationwide, expediting timelines for multi-billion dollar infrastructure projects while enhancing safety on job sites. With $350 million in funding, we are swiftly addressing the growing demand for housing, data centers, manufacturing facilities, and tackling the construction sector's labor shortages.This is where cutting-edge algorithms meet robust engineering. You will collaborate with experienced construction professionals and world-renowned engineers to tackle real-world challenges that simulations cannot address. If you're eager to leverage innovative technology to solve significant issues alongside a dedicated team, we would be thrilled to welcome you aboard.Job OverviewAs a Mechanical Systems Integration Engineer, your primary responsibility will be the physical integration of sensors, computational hardware, actuators, and auxiliary subsystems onto our next-generation autonomous construction machines. You will work collaboratively with electrical, software, manufacturing, operations, and supply chain teams to convert system-level requirements into robust mechanical designs optimized for scalability, reliability, manufacturability, industrial design, and operational efficiency in challenging real-world environments—enduring vibrations, shocks, dust, debris, and various weather conditions.Main ResponsibilitiesMechanical Integration Design: Create mounting brackets, enclosures, and structural interfaces for sensors (cameras, LiDAR, radar, IMUs), computational units, and ancillary hardware on vehicle platforms.3D CAD Design: Develop intricate part and assembly models utilizing Onshape, including GD&T-compliant drawings for fabrication and vendor sourcing.Routing & Packaging: Collaborate with cross-functional teams to determine physical routing paths for wire harnesses, fluid lines, and cooling components within constrained mechanical envelopes.Environmental Protection: Design and select suitable sealing, gasketing, and protective enclosures (IP-rated) to shield sensitive electronics from moisture, dust, and contamination.Prototype Build Support: Assist in the building and testing of prototypes to validate design assumptions and ensure functionality.

At Mechanize, we are on a mission to revolutionize the economy through the automation of real-world tasks. We specialize in building reinforcement learning (RL) environments designed to enhance AI models, enabling them to tackle complex challenges. Our innovative solutions are trusted by leading AI laboratories. Discover more about our work at mechanize.work.As a Junior Software Engineer at Mechanize, you will play a key role in developing RL environments that cater to the needs of the top AI labs. This position is ideal for individuals who are nearing graduation or have 0-2 years of experience in software engineering, and possess proficiency in Python programming.Prior experience in machine learning or AI is not a requirement.Curious about our interview process? Learn more about it here.

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.