Hardware Tools Engineer

About the TeamAt OpenAI, our Hardware organization is at the forefront of developing silicon and system-level solutions tailored specifically for the demanding requirements of advanced AI workloads. Our team is dedicated to pioneering the next generation of AI-native silicon, collaborating intimately with software and research partners to design hardware that is tightly integrated with AI models. Beyond delivering high-quality silicon for OpenAI's supercomputing infrastructure, we innovate by creating custom design tools and methodologies that propel hardware solutions optimized for AI.About the RoleIn this pivotal role, you will enhance the tooling ecosystem that hardware engineers depend on daily, encompassing hardware compilers, IR transformations, simulation, debugging, and automation infrastructure. Your contributions will bridge software engineering, compiler concepts, and practical hardware workflows, significantly influencing the speed and efficiency of designing next-generation AI systems. Collaborating closely with architects, RTL designers, and verification engineers, you will translate real engineering challenges into sustainable, scalable tooling solutions.Key ResponsibilitiesDevelop and enhance software tools to increase the efficiency of hardware teams: compilation, IR transformations, RTL generation, simulation, debugging, and automation.Extend and integrate hardware compiler stacks (including frontends, IR passes, lowering, scheduling, and code generation to Verilog/SystemVerilog) and connect these with actual design workflows.Enhance developer experience and system reliability: focus on reproducible builds, improved error messaging, quicker iteration cycles, and robust CI and regression infrastructures.Collaborate with designers and verification engineers to transform identified pain points into effective solutions.Engage with RTL as required: analyze and interpret Verilog/SystemVerilog to troubleshoot issues, validate tool outputs, and enhance debuggability.Be prepared to delve deeply into the stack when necessary, including gate-level perspectives, synthesis outcomes, and implementation artifacts.Support PPA optimization efforts by creating analysis and automation around area, timing, and power trade-offs, while improving tools that influence these aspects.Ideal Candidate ProfileProven experience in developing and maintaining software (through projects, internships, research, open-source contributions, or similar).

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.

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.

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.

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

About Multiply LabsMultiply Labs is an innovative startup located in San Francisco, California, backed by renowned investors in technology and life sciences such as Casdin Capital, Lux Capital, and Y Combinator. Our goal is to develop the world's leading robotic systems and utilize them to make groundbreaking life-saving therapies accessible to everyone.We are transforming the manufacturing process of cell therapies through the creation of advanced robotic systems that automate and scale the production of these crucial treatments. Our cutting-edge robots enable biopharma companies to produce cell therapies efficiently without overhauling their existing processes, thus minimizing regulatory hurdles and risks. Unlike traditional methods that are labor-intensive and costly (often exceeding $1M per patient), our robotic solutions aim to make these vital treatments more affordable and reachable for those who need them.To discover more and view our robots in action, please visit www.multiplylabs.com and follow us on LinkedIn.Position OverviewWe are looking for a dedicated Hardware Reliability Engineer to become an essential part of Multiply Labs’ Reliability Engineering team. As a founding member, you will collaborate closely with the Hardware Product and Systems Integration teams to enhance our designs throughout the entire development lifecycle, from initial prototypes to fully deployed GMP production systems. Your contributions will directly support the delivery of life-saving therapies by ensuring our robots operate seamlessly within the high-stakes biotech environment.

Tacit is an early-stage deep-tech startup in San Francisco, backed by General Catalyst, Khosla Ventures, and Greylock Partners. The team draws on backgrounds from Stanford, BrainGate, Oculus, and Tesla. The company is developing new hardware to advance human-computer interaction, with project details still confidential. The focus is on solving complex engineering challenges that could change how people use technology. Role overview The Head of Hardware will lead Tacit's transition from research prototypes to a consumer-ready product. This senior leader shapes the technical architecture and builds the team responsible for delivering reliable hardware at scale. The position works directly with company leadership, driving hardware strategy, resource planning, and execution. The main objective is to establish a high-performing hardware group that consistently ships quality consumer products. What you will do Lead the move from research prototypes to a production-ready consumer hardware platform. Own the hardware roadmap and system architecture, overseeing progress from early builds to mass production. Design the hardware organization, define team roles, and set hiring priorities in collaboration with leadership. Establish and uphold standards for product readiness, with attention to quality, reliability, manufacturability, and testing. Shape and execute the hardware hiring strategy, including role definitions, sequencing, and technical requirements. Build and lead a multidisciplinary hardware team spanning electrical, mechanical, RF, firmware, testing, and manufacturing. Encourage open technical discussion, clear ownership, and a product-driven approach within the team. Make key system-level trade-offs across performance, power, cost, reliability, and timelines, balancing immediate needs and long-term growth. Enhance design quality through DFM/DFA, manufacturing test planning, and strong quality processes. Collaborate closely with product, industrial design, and software/ML teams to translate product requirements into hardware specifications.

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.

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 the RoleWe are seeking a highly skilled Senior Automation and Tools Engineer to enhance our platform's scalability, reliability, observability, and operational excellence. In this pivotal role, you will collaborate with engineers and data scientists to design, automate, and sustain the infrastructure that drives our core platform, which includes data pipelines, machine learning workloads, and real-time analytics systems.This is a hands-on, impactful position with visibility across the tech stack, providing a unique opportunity to influence the future of our infrastructure and operations.Key ResponsibilitiesCollaborate closely with Site Reliability Engineers (SREs) and developers to automate and manage datacenter and cloud-based infrastructure, focusing on build and deployment systems, as well as configuration management.Enhance system reliability and performance through automation, observability, and proactive capacity planning.Develop and configure tools for datacenter provisioning, configuration management, and observability using both standard and custom tools.Elevate developer experience by providing self-service tools.Implement and uphold monitoring, alerting, and incident response processes including Service Level Objectives (SLOs), runbooks, and on-call rotations.Foster collaboration across engineering and data science teams to cultivate a culture of performance and reliability.Maintain security, compliance, and operational readiness across our physical and cloud infrastructures.Lead post-incident reviews and continuous improvement initiatives.

The RoleRocky Talkie is on the lookout for an innovative and entrepreneurial engineering leader to spearhead our hardware engineering initiatives. In this impactful position, you will be at the forefront of designing, developing, and manufacturing products that align with our mission to enhance safety in adventure sports while revitalizing the outdated two-way radio industry. Your hands-on leadership will guide our team through the complete product development lifecycle, ensuring that we maintain our commitment to simplicity, durability, and activity-centric design principles.As a pivotal member of our leadership team, you will collaborate closely with engineering, product, and development partners to translate our product vision into reality. We are in search of a passionate and experienced individual with a strong track record in leading consumer electronics projects from initial concept to mass production. If you thrive in a small team environment and enjoy getting involved in technical work, this role is an excellent fit for you. Rocky Talkie is poised for growth, and we celebrate and reward excellence.Location: 4 days in person (SF) per week

Join Our Innovative Team at Atomic SemiAt Atomic Semi, we are pioneering the future of semiconductor manufacturing with our state-of-the-art, compact fabrication facilities.Our approach leverages current technologies and innovative simplifications, enabling us to create our own tools for rapid iteration and enhancement.We are assembling a select group of exceptional engineers—mechanical, electrical, hardware, computer, and process specialists—who will take ownership of the entire stack from atomic structures to architectural designs. Our optimistic team is dedicated to advancing technology boundaries.We believe that smaller, faster, and self-built solutions are the key to success.Our facility is equipped with 3D printers, a variety of microscopes, e-beam writers, and general fabrication equipment. If there’s something we need, we’ll innovate to create it.Founded by Sam Zeloof and Jim Keller, our team combines practical chip-making experience with decades of industry leadership.Role OverviewAs an Electronic Hardware Design Engineer, you will collaborate with a talented team to design cutting-edge lithography systems, deposition tools, vacuum chambers, and high-precision motion control systems. You will tackle challenges, prototype innovative solutions, and bring your designs to production, contributing to transformative advancements in integrated circuit manufacturing.Your projects may involve high-voltage low-noise converters, motor drivers, attofarad sensors, and millikelvin temperature controllers—all in a single initiative.

About Us:Aurelius Systems is a venture capital-backed startup specializing in defense technology, dedicated to creating cutting-edge autonomous directed energy systems deployed at the edge for countering unmanned aerial systems (UAS). Our mission is to develop cost-effective, reliable, and robust laser weapon systems designed to neutralize drones.Comprising a tight-knit team of approximately 10 engineers, ex-US military personnel, and domain experts, we are at the forefront of enhancing America's directed energy capabilities. Our ethos is inspired by Marcus Aurelius, emphasizing diligence and decisive action without excuses. We believe in the power of innovation, akin to Henry Ford's revolutionary approach to manufacturing.In addition to our San Francisco laboratory, we have established a manufacturing hub in Detroit and conduct weekly field tests on our expansive 400-acre private range.If you are an engineer who thrives on tangible results and prefers fieldwork over theoretical models, continue reading.Your Role and Impact:We are seeking a proactive Hardware Engineer to take ownership of structural and thermal designs for a groundbreaking laser weapon system being developed from the ground up. You will execute finite element analysis (FEA), devise thermal solutions, and facilitate prototype validation. This is a hands-on role where you will engage in laboratory construction, field testing, and iterative refinement of designs.From concept to production, you will be involved every step of the way.Your Responsibilities:Develop and validate both passive and active thermal solutions for high-power laser modules, including conjugate heat transfer and transient thermal simulations.Conduct stress, vibration, and modal analyses using ANSYS, SolidWorks Simulation, or equivalent tools, utilizing findings to enhance design durability, weight efficiency, and dynamic load performance.Create and improve CAD models focusing on thermal management and structural prototypes.Lead hands-on prototyping efforts through CNC, additive manufacturing, or rapid fabrication with a strong emphasis on testing; plan and execute vibration, shock, environmental, and robustness tests in realistic field conditions.Conduct Design for Manufacturability (DFM) reviews to optimize geometry, tolerances, and material selections, collaborating directly with suppliers and fabricators to transition designs into production.Evaluate metals, polymers, and composites for mechanical strength, thermal conductivity, and electromagnetic interference compatibility.Generate Bills of Materials (BOMs), GD&T drawings, and assembly instructions while overseeing the prototype-to-production transition, ensuring compliance with industry standards.

Why Join Flux?At Flux, we are revolutionizing hardware development by creating the world's first AI Hardware Engineer. Our mission is to democratize access to cutting-edge hardware technology and transform how electronics are conceived and manufactured globally.Role OverviewAs a Software Engineer focusing on Agentic Development, you will be integral in building the core intelligence of our platform. You will develop innovative workflows, reasoning graphs, and seamless integrations that empower both novice users to transform ideas into manufacturable hardware and experienced electrical engineers to learn from past production challenges.Your role will uniquely merge web engineering with AI system design, utilizing TypeScript and LangGraph to embed smart functionalities directly into our design environment.Key ResponsibilitiesCraft agentic reasoning capabilities using TypeScript (LangGraph).Incorporate AI functionalities into the Flux web application (React/Redux) and Chat UI.Implement telemetry and logging systems to monitor runtime health, performance, and cost efficiency.Collaborate with product and electrical engineers to enhance intelligent ECAD workflows.Design and evaluate experiments; convert insights into actionable engineering decisions.Contribute to the development of agentic patterns, conventions, and best practices across the engineering organization.

Join DoorDash Labs, an innovative team dedicated to creating autonomous delivery solutions. As a Hardware Prototype Engineering Technician, you will play a pivotal role in assembling and servicing cutting-edge robotic systems. Your hands-on expertise will contribute to developing and delivering advanced test platforms, ensuring our technology meets the needs of millions. Collaborate with a dynamic group of engineers and tackle unique challenges in electromechanical systems and vehicle platforms, all while maintaining an organized lab environment and optimizing performance.

About KiddomKiddom is an innovative educational platform dedicated to fostering student equity and growth by integrating top-tier instructional materials with engaging digital learning experiences. With unparalleled curriculum management tools, Kiddom enables schools and districts to take charge of their curriculum, creating customized learning experiences that cater to the unique needs and aspirations of their communities. Our high-quality curriculum comes equipped with powerful insights for teachers and leaders, driving the ongoing enhancement of instructional strategies, school and district programming, and professional development.The Tooling team at Kiddom is responsible for developing and maintaining the essential systems that empower all engineering teams to produce reliable, scalable, and efficient software solutions. As a Senior Backend Engineer on this team, you will concentrate on crafting backend services, automation frameworks, and internal developer tools that enhance the speed and reliability of our entire platform.Your contributions will significantly influence how Kiddom engineers design, deploy, and monitor systems at scale, with a strong focus on clean, maintainable, and testable code, primarily in Python, with additional opportunities to work with GoLang.

Founded in 2007, Airbnb started with two hosts welcoming three guests into their San Francisco home and has since expanded to over 5 million hosts, providing unique stays and experiences for more than 2 billion guests worldwide. Our platform fosters authentic connections between guests and local communities around the globe.Join Our Community: The UI Foundation team at Airbnb boasts a rich history, overseeing our design system, accessibility, motion design, and the essential tooling that links our design processes to product development. Within this framework, the UI Tooling team acts as the crucial bridge between our Design Language System and the daily workflows of hundreds of designers and engineers throughout the organization.UI Tooling is responsible for the platforms, integrations, and tools that facilitate collaboration and efficiency among designers and engineers. This encompasses design tooling, UI engineering workflows, and increasingly, AI-enhanced processes. As we accelerate AI enablement, this team plays a pivotal role in some of Airbnb's most strategic infrastructure initiatives.Your Impact: As the Engineering Manager for UI Tooling, you will provide essential leadership to ensure the team operates with consistency, clarity, and a long-term strategic vision. You will manage and nurture a team of engineers, oversee a multi-year roadmap across UI Tooling's core focus areas, and collaborate cross-functionally with Design, Product, and AI teams to advance the next generation of design and engineering support at Airbnb.This role is critical in facilitating UI Foundation's broader goals. With your leadership, the team will gain the focus and stability required to swiftly implement initiatives that will influence every product team at Airbnb.You will be responsible for strategy and execution across five key domains:AI Utilization of the Design System: Integrating Figma Code Connections, UI Development Skills and Agents, Prototyping Skills and Agents, and Design Skills and Agents.Core UI Development Workflow & Tooling: Component development and documentation tools, design-to-code platforms, and migration tools.Core Design Workflow & Tooling: Design systems, asset management, and collaboration tools.AI-Powered Workflows: Enhancing existing tools with AI capabilities.Cross-Functional Collaboration: Working closely with Design and Product teams to ensure seamless integration of tools and processes.

As a Senior Tooling Quality Engineer at Oura Health, you will play a pivotal role in ensuring the precision and reliability of our tooling processes. You will collaborate with cross-functional teams to refine tooling methodologies, enhance quality control protocols, and drive continuous improvement initiatives. Your expertise will be vital in maintaining high standards of quality in our manufacturing processes.

Company OverviewEcho Neurotechnologies is a groundbreaking startup in the Brain-Computer Interface (BCI) sector, committed to pioneering advancements in hardware engineering and artificial intelligence solutions. Our goal is to develop state-of-the-art technologies that empower individuals with disabilities, enhancing their independence and overall quality of life.Team CultureBecome part of our passionate and skilled team, where each member plays a crucial role. In our dynamic startup environment, you'll have the chance to make impactful decisions that resonate throughout the organization. We prioritize continuous learning and development, fostering an atmosphere of collaboration where your input is essential to our shared success.Role OverviewWe are looking for a talented Hardware Test Engineer to validate the Echo hardware systems. The ideal candidate will oversee testing of custom Echo hardware devices and subsystems, as well as lead the development and implementation of unique testing systems.Primary ResponsibilitiesConduct in-house design verification testing.Manage testing with external laboratories.Collaborate with the engineering team to create tailored testing protocols.Work closely with design engineers to characterize custom hardware solutions.Execute dry-run tests to ensure smooth transitions to vendors.