{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/hardware-platforms"},"x-facet":{"type":"skill","slug":"hardware-platforms","display":"Hardware Platforms","count":9},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6f3ce8eb-bb5"},"title":"Hardware Verification Test Manager","description":"<p>Engineer the Future with Us</p>\n<p>We currently have 700 open roles</p>\n<p>Innovation Starts Here</p>\n<p>Find Jobs For</p>\n<p>Where?When autocomplete results are available use up and down arrows to review and enter to select. Touch device users, explore by touch or with swipe gestures.</p>\n<p><strong>Hardware Verification Test Manager</strong></p>\n<p>Sunnyvale, California, United States</p>\n<p>Save</p>\n<p><strong>Hire Type</strong> Employee<strong>Job ID</strong> 16605<strong>Base Salary Range</strong> $198000-$297000<strong>Date posted</strong> 04/20/2026</p>\n<p><strong>We Are:</strong></p>\n<p>At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. Our Hardware-Assisted Verification (HAPS/ZeBu) business unit is at the forefront of enabling semiconductor companies to accelerate their SoC design and verification schedules with cutting-edge FPGA-based prototyping and emulation platforms.</p>\n<p><strong>You Are:</strong></p>\n<p>You are a visionary engineering leader passionate about quality, innovation, and driving impactful change in hardware validation. With a strong foundation in electrical or computer engineering and a proven track record in hardware/system validation and test engineering, you thrive in fast-paced environments where cross-functional collaboration and technical rigor are paramount. You bring deep expertise in FPGA-based platforms, high-speed interfaces, board-level hardware, and embedded systems. Your hands-on experience navigating complex hardware/software/firmware integration challenges enables you to deliver robust, reliable solutions.</p>\n<p>You excel at building and mentoring high-performing teams, setting clear goals, and fostering a culture of continuous improvement and accountability. Your leadership style is inclusive and collaborative, empowering others to contribute their best while driving technical excellence. You are adept at communicating complex technical concepts to diverse audiences and partnering with stakeholders across manufacturing, R&amp;D, customer support, and field operations. Your attention to detail and strategic vision ensure scalable test methodologies, automation frameworks, and quality metrics that align with product requirements and customer expectations.</p>\n<p>You are comfortable managing multiple parallel programs, balancing resources, and driving outcomes aligned with release milestones. Your ability to resolve critical issues rapidly, drive root cause analysis, and implement corrective actions sets you apart. You are excited to join a culture of deep technical excellence and work on mission-critical platforms that shape the future of semiconductor technology. If you are ready to influence product quality and customer success at an industry leader, this role is for you.</p>\n<p><strong>What You’ll Be Doing:</strong></p>\n<ul>\n<li>Implementing system-level test strategies for HAV platforms (HAPS, ZeBu), covering hardware, firmware, and infrastructure.</li>\n</ul>\n<ul>\n<li>Defining and executing test plans for new product introductions, feature releases, and customer-specific configurations.</li>\n</ul>\n<ul>\n<li>Leading manufacturing validation of FPGA-based prototyping systems, emulation platforms, board-level hardware, high-speed interconnects, and power systems.</li>\n</ul>\n<ul>\n<li>Managing test equipment deployment, including fixtures, stations, and accessories, and overseeing final assembly test for embedded firmware and low-level software.</li>\n</ul>\n<ul>\n<li>Driving root cause analysis for complex system failures across HW/FW/SW boundaries and ensuring corrective actions are implemented.</li>\n</ul>\n<ul>\n<li>Building, mentoring, and managing a high-performing test engineering team, setting goals, and fostering a culture of technical rigor and continuous improvement.</li>\n</ul>\n<ul>\n<li>Establishing scalable test methodologies, automation frameworks, and regression strategies for quality and efficiency.</li>\n</ul>\n<ul>\n<li>Partnering with R&amp;D, hardware, firmware, quality, reliability management, and field operations to ensure test coverage and support customer escalations.</li>\n</ul>\n<ul>\n<li>Owning test schedules, deliverables, and resource allocation across multiple programs, communicating status and risks to senior leadership.</li>\n</ul>\n<ul>\n<li>Managing external test development and fixture suppliers, governing test release and change control, and integrating factory test automation with CM/EMS MES systems.</li>\n</ul>\n<p><strong>The Impact You Will Have:</strong></p>\n<ul>\n<li>Deliver clear, measurable test strategy and coverage across PCBA, subsystem, and system tests, ensuring high-quality product releases.</li>\n</ul>\n<ul>\n<li>Drive high availability and scalability of test fixtures, testers, spares, and test networks, supporting global manufacturing operations.</li>\n</ul>\n<ul>\n<li>Enable robust test automation and MES integration, providing accessible logs and automated reporting for data-driven decision-making.</li>\n</ul>\n<ul>\n<li>Lead a team that systematically identifies top issues, collaborates with R&amp;D/Test Development to drive closure, and manages product diagnosis.</li>\n</ul>\n<ul>\n<li>Reduce defect escape rates and improve yield through continuous improvement of test methodologies and quality metrics.</li>\n</ul>\n<ul>\n<li>Accelerate time-to-market for new products and features by optimizing test efficiency and process scalability.</li>\n</ul>\n<ul>\n<li>Support critical customer escalations with deep technical engagement, enhancing customer satisfaction and trust in Synopsys platforms.</li>\n</ul>\n<p><strong>What You’ll Need:</strong></p>\n<ul>\n<li>Bachelor’s degree (master’s preferred) in Electrical Engineering, Computer Engineering, or related field.</li>\n</ul>\n<ul>\n<li>10+ years of experience in hardware/system validation or test engineering.</li>\n</ul>\n<ul>\n<li>3–5+ years in an engineering management or technical leadership role.</li>\n</ul>\n<ul>\n<li>Strong background in FPGA-based systems, emulation, or complex hardware platforms.</li>\n</ul>\n<ul>\n<li>Experience testing systems involving HW/FW/SW integration and debugging cross-disciplinary system issues.</li>\n</ul>\n<ul>\n<li>Hands-on understanding of FPGA architecture and tool flows, high-speed interfaces (PCIe, Ethernet, DDR, SerDes), and embedded systems.</li>\n</ul>\n<ul>\n<li>Proficiency in Linux-based development environments and automation frameworks.</li>\n</ul>\n<ul>\n<li>Strong communication, leadership, and collaboration skills.</li>\n</ul>\n<ul>\n<li>Experience managing globally distributed teams and customer-facing validation or field support environments is a plus.</li>\n</ul>\n<p><strong>Who You Are:</strong></p>\n<ul>\n<li>Inclusive and collaborative leader who empowers team members.</li>\n</ul>\n<ul>\n<li>Analytical thinker with a passion for problem-solving and technical rigor.</li>\n</ul>\n<ul>\n<li>Excellent communicator, able to articulate complex concepts to diverse audiences.</li>\n</ul>\n<ul>\n<li>Resilient and adaptable, thriving in dynamic, fast-paced environments.</li>\n</ul>\n<ul>\n<li>Detail-oriented, organized, and committed to continuous improvement.</li>\n</ul>\n<ul>\n<li>Customer-focused, prioritizing quality and reliability to exceed expectations.</li>\n</ul>\n<p><strong>The Team You’ll Be A Part Of:</strong></p>\n<p>You&#39;ll join the Hardware-Assisted Verification (HAPS/ZeBu) team, a group of passionate engineers dedicated to delivering world-class FPGA-based prototyping and emulation platforms. The team partners closely with Manufacturing OPS, R&amp;D Hardware Design, Customer Support, and Field Operations to ensure system-level quality, performance, and customer readiness. Together, you’ll drive innovation, reliability, and excellence in hardware verification, supporting global semiconductor leaders in accelerating their SoC design and verification schedules.</p>\n<p><strong>Rewards and Benefits:</strong></p>\n<p>We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. 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You&#39;ll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Owning and architecting large-scale data processing pipelines for robotics and autonomous vehicle datasets</li>\n<li>Building ML training and fine-tuning pipelines using Scale&#39;s robotics data</li>\n<li>Working across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions</li>\n<li>Developing tools and systems for robotics data collection, teleoperation, and model evaluation</li>\n<li>Interacting directly with robotics and AV stakeholders to understand their technical needs and drive product development</li>\n<li>Building real-time systems for robotic control, sensor fusion, and perception pipelines</li>\n<li>Designing comprehensive monitoring and evaluation frameworks for robotics models and data 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As a key contributor, you&#39;ll own and architect large-scale data processing pipelines, build ML training and fine-tuning pipelines, and develop tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation.</p>\n<p>In this role, you&#39;ll interact directly with robotics and AV stakeholders to understand their technical needs and drive product development. You&#39;ll also design comprehensive monitoring and evaluation frameworks for robotics models and data quality, and collaborate with ML engineers and researchers to bring robotics research into production.</p>\n<p>To succeed, you&#39;ll need at least 6 years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems. 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Strong communication skills and the ability to operate with high autonomy are essential.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d6fc00c5-564","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4612282005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","TypeScript/Node.js","React","Concurrent and real-time systems","Distributed systems","Workflow orchestration","Cloud infrastructure","Databases","Data processing at large scale"],"x-skills-preferred":["C++","Robotics hardware platforms","Computer vision","SLAM","Motion planning","Imitation learning","Autonomous vehicle data","Lidar technologies","3D data processing","ML model deployment and serving frameworks","Teleoperation systems","VR interfaces","Workflow orchestration systems"],"datePosted":"2026-04-18T15:59:19.712Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Argentina; Uruguay"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TypeScript/Node.js, React, Concurrent and real-time systems, Distributed systems, Workflow orchestration, Cloud infrastructure, Databases, Data processing at large scale, C++, Robotics hardware platforms, Computer vision, SLAM, Motion planning, Imitation learning, Autonomous vehicle data, Lidar technologies, 3D data processing, ML model deployment and serving frameworks, Teleoperation systems, VR interfaces, Workflow orchestration systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2da35265-f56"},"title":"Machine Learning Research Engineer - Robotics","description":"<p>We&#39;re seeking a Machine Learning Research Engineer to join our Robotics business unit. 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In this role, you&#39;ll advance Robotic research, shape Scale&#39;s robotics offerings, and expand the frontier of Robotics data and model evaluation.</p>\n<p>Key responsibilities include: Collaborating closely with Robotics customers to drive the industry forward in using VLA data Developing ML pipelines to train/fine-tune models using Scale&#39;s data Conducting research on robotics data collection, cross-embodiment training, and policy fine-tuning Developing novel methods for evaluating VLA models, including new robotics industry benchmarks Partnering with cross-functional stakeholders and Scale&#39;s customers to improve data collection Collaborating with product teams to bring ML outcomes to Scale&#39;s platform</p>\n<p>You&#39;ll have: Practical experience building training VLA models and/or building robotics data 3+ years of relevant industry experience in areas relating to: robotics, computer vision, embodied AI, sim-to-real, imitation learning, reinforcement learning, and vision language actions models PhD or equivalent experience in Machine Learning or Robotics A track record of published research in robotics Experience conducting data collection and performing evaluations Strong written and verbal communication skills and the ability to work with cross-functional teams and customers Intellectual curiosity, empathy, and ability to operate with a high degree of autonomy</p>\n<p>Nice to haves: Experience working with robotics hardware platforms (robotic arms, perception systems, etc.) Experience deploying machine learning models on robotic systems in the field Experience with teleoperated or human-driven data for robotics (ALOHA, UMI, hand tracking, etc.)</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2da35265-f56","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4600908005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$248,800-$311,000 USD","x-skills-required":["Machine Learning","Robotics","Computer Vision","Embodied AI","Sim-to-Real","Imitation Learning","Reinforcement Learning","Vision Language Actions Models"],"x-skills-preferred":["Robotics Hardware Platforms","Deploying Machine Learning Models","Teleoperated or Human-Driven Data"],"datePosted":"2026-04-18T15:58:56.349Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Robotics, Computer Vision, Embodied AI, Sim-to-Real, Imitation Learning, Reinforcement Learning, Vision Language Actions Models, Robotics Hardware Platforms, Deploying Machine Learning Models, Teleoperated or Human-Driven Data","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":248800,"maxValue":311000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ef6605f2-fe0"},"title":"Software Engineer, Robotics","description":"<p>We&#39;re looking for a skilled Software Engineer to join our Robotics business unit. As a key contributor, you&#39;ll build production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You&#39;ll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Owning and architecting large-scale data processing pipelines for robotics and autonomous vehicle datasets</li>\n<li>Building ML training and fine-tuning pipelines using Scale&#39;s robotics data</li>\n<li>Working across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions</li>\n<li>Developing tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation</li>\n<li>Interacting directly with robotics and AV stakeholders to understand their technical needs and drive product development</li>\n<li>Designing comprehensive monitoring and evaluation frameworks for robotics models and data quality</li>\n</ul>\n<p>Ideal candidates will have:</p>\n<ul>\n<li>3+ years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems</li>\n<li>Strong programming skills in Python and TypeScript/Node.js for production systems</li>\n<li>Experience with React and modern frontend development for 3D interfaces</li>\n<li>Concurrent and real-time systems, with special attention to timing constraints</li>\n<li>Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)</li>\n<li>Experience with databases (MongoDB, PostgreSQL) and data processing at large scale</li>\n<li>Track record of working with cross-functional teams including ML engineers, researchers, and customers</li>\n<li>Strong communication skills and ability to operate with high autonomy</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience with C++</li>\n<li>Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization</li>\n<li>Background in computer vision, SLAM, motion planning, or imitation learning</li>\n<li>Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing</li>\n<li>Experience with ML model deployment and serving frameworks</li>\n<li>Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces</li>\n<li>Experience with workflow orchestration systems (Temporal, Airflow)</li>\n<li>Published research or open-source contributions in robotics or autonomous systems</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ef6605f2-fe0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4655050005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","TypeScript","Node.js","C++","React","Distributed systems","Workflow orchestration","Cloud infrastructure","Databases","Data processing"],"x-skills-preferred":["Robotics hardware platforms","Computer vision","SLAM","Motion planning","Imitation learning","Autonomous vehicle data","Lidar technologies","3D data processing","ML model deployment","Serving frameworks","Teleoperation systems","VR interfaces","Workflow orchestration systems"],"datePosted":"2026-04-18T15:58:47.535Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico City, MX"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TypeScript, Node.js, C++, React, Distributed systems, Workflow orchestration, Cloud infrastructure, Databases, Data processing, Robotics hardware platforms, Computer vision, SLAM, Motion planning, Imitation learning, Autonomous vehicle data, Lidar technologies, 3D data processing, ML model deployment, Serving frameworks, Teleoperation systems, VR interfaces, Workflow orchestration systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dd290e64-a85"},"title":"Quantum Software Engineer","description":"<p>We are seeking a talented and innovative Quantum Software Engineer to join our forward-looking team at Anduril Labs. In this role, you will be instrumental in building and delivering impactful quantum solutions for both Anduril-internal use cases and external customer applications.</p>\n<p>You will work closely with delivery leads, application developers, and other solutions architects, as well as internal and external partners to design, implement, and deliver bleeding edge quantum solutions on state-of-the-art quantum-inspired, quantum annealing, and quantum gate platforms for real-world defense and national security challenges.</p>\n<p>The ideal candidate will combine a strong foundation in quantum computing principles with hands-on classical and quantum software development expertise. You will leverage your skills to translate complex problems into (hybrid) quantum algorithms, applications, and services.</p>\n<p>This includes developing robust software implementations, and integrate quantum-enhanced solutions into existing and new defense systems.</p>\n<p>If you are passionate about applying theoretical quantum concepts to deliver tangible, high-impact results, and thrive in an environment that values innovation, collaboration, and rapid prototyping, we encourage you to apply.</p>\n<p><strong>Key Responsibilities:</strong> Be a key contributor to the development of next-generation quantum-enhanced Anduril offerings and lead the design, development, and deployment of novel quantum-enhanced applications and services in the defense and national security domain. Develop impactful hybrid quantum algorithms and applications that promise significant decision advantages and focus on practical scalability and real-world applicability. Contribute knowledge of classical and quantum optimization algorithms and tools, evaluating, and communicating their pros and cons, current state-of-the-art, scaling behaviors, trade-offs, and cross-over points. Participate in the full (hybrid) quantum software development lifecycle, from concept and design to testing, deployment, and ongoing maintenance.</p>\n<p><strong>Requirements:</strong> Bachelor&#39;s degree in Computer Science, Quantum Information Science, Physics, Mathematics, or a closely related technical field. 3+ years of hands-on, professional software development experience with C, C++, Python, or another general-purpose compiled programming language. Practical experience in quantum computing, including programming quantum applications, or quantum circuit compilation. Proficiency with one or more leading quantum programming languages, SDKs, or APIs such as Qiskit, CUDA-Q, Q#, Cirq, PennyLane, or similar. Expertise in key mathematical techniques foundational to quantum computing, including linear algebra, matrix decompositions, probability theory, group theory, symmetry, and computational complexity. Proficient with database systems and SQL, with hands-on experience working with relational databases (e.g., PostgreSQL, Oracle, MySQL). Experience with Git version control, build tools, and CI/CD pipelines. Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing. Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment. Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences. Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance. Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.</p>\n<p><strong>Preferred Qualifications:</strong> Master&#39;s or Ph.D. in Quantum Information Science, Physics, Computer Science, or a related quantitative field. Familiarity with leading classical optimization tools and solvers (e.g., CPLEX, Gurobi, OR-Tools) and knowledge of mathematical modeling and classical optimization solution techniques. Experience building and deploying applications to solve complex business or defense problems for customers. Proven record of successful on-time delivery of complex software projects with a high degree of predictability and quality. Experience with deployment of code in distributed environments, cloud application development (e.g., AWS, Azure, GCP), and RESTful API-driven architectures. Experience with high-performance computing (HPC) environments or parallel programming. Familiarity with quantum hardware platforms and their unique characteristics. Prior experience in defense, aerospace, or related industries applying advanced technologies. 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