Hardware Manufacturing Technician

About TacitTacit is an innovative deep tech startup located in San Francisco, dedicated to transforming human-computer interaction through groundbreaking hardware solutions. Our esteemed investors include General Catalyst, Khosla Ventures, and Greylock Partners, and our founding team boasts experience from prestigious organizations such as Stanford, BrainGate, Oculus, and Tesla. Though we are in the early stages, we are tackling revolutionary engineering challenges to create products that will redefine the industry.About the RoleWe are in search of a skilled Manufacturing Technician with a specialization in Soldering to assist in the assembly of mechanical prototypes, rework of miniaturized PCBs, and production of custom components. The ideal candidate will possess strong soldering and rework expertise, with R&D experience considered a valuable asset.What You'll DoConduct assembly and subassembly tests in the lab.Perform fine-pitch soldering and desoldering of surface-mount components (0201, BGAs) on PCBs.Execute rework and modifications of intricate electronic assemblies based on engineering change orders (ECOs) and manufacturing requirements.Assemble, modify, and accurately test mechanical prototypes and fixtures.Design and prototype mechanical fixtures and tooling to facilitate assembly processes, collaborating closely with hardware engineers.Inspect PCBs under magnification to detect solder defects and perform necessary repairs.Requirements3-5 years of practical experience in soldering and reworking electronic assemblies.Proficient in handling fine-pitch components using microscopes and rework tools.Ability to read and interpret assembly drawings, schematics, and rework instructions with a commitment to high-quality standards.Demonstrated independence, flexibility, and resourcefulness.Excellent communication and collaboration skills.Comfortable in a fast-paced startup environment and eager to contribute independently.Strong time management skills with the ability to prioritize and multitask across various teams.Preferred QualificationsExperience with basic PCB layout or mechanical design for test fixtures.Familiarity with Python scripting for automation purposes.

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 SpecterAt Specter, we are pioneering a software-defined “control plane” for the physical realm. Our mission begins with safeguarding American businesses by providing them with comprehensive awareness of their physical assets.We are developing an interconnected hardware-software ecosystem built on versatile wireless mesh sensing technology, which significantly reduces the costs and time required for sensor deployment by tenfold. Ultimately, our platform will serve as the perception engine for a company's physical landscape, facilitating real-time perimeter visibility and enabling autonomous operations management.Our co-founders, Xerxes and Philip, are deeply committed to empowering our partners in the evolving landscape of physical AI and robotics. We are a dynamic, fast-growing team with backgrounds from Anduril, Tesla, Uber, and the U.S. Special Forces.Role OverviewSpecter is seeking a skilled Manufacturing Technician to assist in the assembly, testing, and preparation of our sensor and compute hardware for field deployment. This hands-on role involves working with circuit boards, power systems, and enclosures, supporting both rapid prototyping and pilot production.Your contribution will be vital in ensuring that our hardware is assembled accurately, consistently, and primed for scaling in the field.Key ResponsibilitiesAssemble and test electronic and sensor hardware, including circuit boards, cables, and enclosures.Follow and contribute to the enhancement of build instructions, wiring diagrams, and test checklists.Perform basic soldering, crimping, and connector assembly tasks.Utilize diagnostic tools (multimeter, oscilloscope, power supply) to verify system functionality.Collaborate with engineers to identify and resolve assembly or component issues.Track parts, builds, and materials using our internal inventory systems.Support prototype and pilot builds in collaboration with mechanical and electrical engineers.Maintain a clean, organized, and safe workspace.Occasionally assist with deployment preparation, on-site assembly, or troubleshooting.Receive and label incoming parts and inventory.

Join us in combating the escalating wildfire crisis through cutting-edge AI and IoT technologiesAbout UsThe Challenge: In the face of climate change, wildfires are becoming increasingly intense, leading to longer fire seasons, drier conditions, and accelerated wind speeds. Quick identification and reporting of wildfires is crucial, yet often relies on bystanders calling 911, which can delay fire detection and response for hours. Fire authorities urgently need innovative solutions to swiftly detect, confirm, and locate fires to prevent small incidents from escalating into catastrophic events.About Pano AI: Based in San Francisco, Pano AI is a rapidly growing hybrid-remote startup with over 150 dedicated team members. We are at the forefront of early wildfire detection and intelligence, empowering fire professionals with timely information, cutting-edge equipment, and enhanced coordination to curb new ignitions before they escalate. Our platform integrates state-of-the-art hardware, software, and artificial intelligence into a user-friendly web interface. Utilizing ultra-high-definition 360-degree cameras positioned at strategic locations, along with satellite data, Pano AI delivers real-time insights into regional threats and actionable intelligence.Pano AI has been recognized by TIME as one of the 100 Most Influential Companies of 2025! Additionally, it has been listed by MIT Technology Review among the top 15 climate tech companies to watch in 2024, and Fast Company recognized it as one of the Top 10 most innovative companies in AI of 2023. Pano AI has also been featured in reputable publications such as the Wall Street Journal and Bloomberg.

Company Overview:At Specter, we are pioneering a software-defined control plane that revolutionizes how businesses protect their physical assets. Our mission is to provide American enterprises with comprehensive visibility over their physical environments through innovative technology.We are developing an interconnected hardware-software ecosystem built on cutting-edge multi-modal wireless mesh sensing technology. This advancement allows us to significantly reduce the cost and time required for sensor deployment, enhancing operational efficiency. Our platform will serve as the perception engine for companies, delivering real-time insights into their physical landscape and facilitating autonomous management of operations.Our dynamic co-founders, Xerxes and Philip, are dedicated to empowering our partners in the rapidly evolving field of physical AI and robotics. Join our small but ambitious team, comprised of talents from leading companies such as Anduril, Tesla, Uber, and the U.S. Special Forces.Role and Responsibilities:We are seeking a Lead Manufacturing Engineer who will play a vital role in bridging the gap between hardware engineering design and scalable production. You will be pivotal in ensuring our hardware products transition seamlessly from the engineering phase to pilot production and eventually to large-scale commercial deployment.Responsibilities include:Collaborate with mechanical, electrical, and systems engineers to develop products that are manufacturable, testable, and dependable.Establish and implement DFM/DFA guidelines, providing constructive feedback early in the design cycle to facilitate rapid iterations and scalability.Design and document manufacturing processes, assembly instructions, and work instructions for prototypes and pilot builds.Specify, source, and deploy tools, fixtures, and assembly aids to enable efficient and reliable builds.Oversee the build process for engineering prototypes, including planning, hands-on assembly support, and troubleshooting.Coordinate with supply chain and external manufacturing partners to ensure readiness for new product introduction (NPI) builds and scaling to commercial volumes.Drive yield improvement initiatives and conduct root-cause analyses for assembly, testing, and field failures.Manage and assist in implementing...

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.

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.

About Our TeamJoin the Compute team, where we design innovative AI supercomputers. Our work spans from workload modeling to enhancing accelerator design, with a strong emphasis on system and data center co-design. We are seeking engineers who are passionate about creating cutting-edge AI supercomputer solutions for data center applications.You will collaborate with partners to optimize hardware for our workloads, identify promising new deep learning accelerators, and facilitate the transition of these hardware platforms from concept to production.If you are enthusiastic about the convergence of advanced deep learning, hardware systems, and data center design, this opportunity is perfect for you!About the RoleWe are in search of a Product Manufacturing Engineer to spearhead technical initiatives linked to manufacturing. You will play a vital role in guiding products from concept to launch and through mass production, with a particular focus on PCB and PCBa manufacturing processes. This role allows you to engage with a diverse range of stakeholders, including design engineering, operations teams, TPMs, and external industry vendors, ensuring that all products meet high-quality standards and are delivered on time.This position is based in San Francisco, CA, with a hybrid work model of three days in the office per week. We also provide relocation assistance to new employees.In this role, you will:Drive manufacturing and quality initiatives to ensure product success from concept to launch.Lead the design and manufacturing processes for next-generation AI hardware systems, collaborating with various stakeholders to guarantee that products are developed and delivered timely and to the highest quality standards.Establish NPI product manufacturing processes, systems, and quality controls, defining clear milestones and deliverables while driving internal process improvements across multiple teams and functions.Conduct hands-on product manufacturing analysis during design, development, testing, prototypes, and production phases.Research automation techniques and develop new tests and systems to enhance efficiency.Own the product manufacturing development for hardware products from L6 up to potentially L10.

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

About 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.

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 dynamic team at Fortune Brands Innovations as a Senior Hardware Program Manager. In this pivotal role, you will lead and manage hardware projects from inception to completion, ensuring on-time delivery and adherence to quality standards. You will collaborate with cross-functional teams, driving initiatives that enhance product performance and user satisfaction.

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 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.

Role overview The Hardware Program Manager at meter leads complex hardware initiatives from initial planning through final delivery. This position ensures each project phase aligns with company objectives and remains on schedule. The role is based in San Francisco. What you will do Work closely with teams across disciplines to guide hardware products from concept to launch Manage project plans, set timelines, and track deliverables Monitor project progress and make adjustments to keep deadlines on track Contribute to the development of hardware solutions that enhance meter’s product offerings Location This role requires working onsite in San Francisco.

We are seeking a visionary and strategic Director of Product, Hardware to lead our product team at Oura Health. In this pivotal role, you will drive the innovation and development of our cutting-edge hardware products, ensuring they align with our mission of empowering people to take control of their health.You will collaborate closely with engineering, design, and marketing teams to define product strategies, prioritize features, and deliver exceptional user experiences. Your leadership will be crucial in guiding cross-functional teams and fostering a culture of creativity and excellence.

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.

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).

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