Lead and mentor mobile dev teams (iOS, Android) to build innovative apps integrated with smart helmets. Drive architecture, strategy, cross-functional collaboration, and delivery of secure, scalable, high-performance mobile solutions
Lead multi-disciplinary teams to develop smart devices integrating sensors, ML, mechatronics, and embedded systems. Drive innovation, strategy, product development, and ensure quality, compliance, and business alignment.
https://quintessential.keka.com/careers/
https://quintessential.keka.com/careers/
https://quintessential.keka.com/careers/
https://quintessential.keka.com/careers/
https://drive.google.com/file/d/17hF_hahI3sz8cqMDH_lwc_rrU-mijhGg/view?usp=drive_link https://quintessential.keka.com/careers/jobdetails/60108
UI/UX Designer Job Description We are seeking a talented and motivated UI/UX Designer (Mid-level) to join our growing product team. The ideal candidate will have hands-on experience in crafting intuitive, user-friendly digital experiences across mobile and web platforms. You will collaborate closely with designers, product managers, and developers to deliver designs that not only look great but also solve real user problems. This role is perfect for someone who enjoys ownership of design projects, thrives in a collaborative environment, and is eager to continue learning and growing in the field of UI/UX. Key Responsibilities Collaborate with product managers and senior designers to understand business goals and user needs. Create personas, user flows, and journey maps to guide product design. Design wireframes, interactive prototypes, and high-fidelity visuals for mobile (iOS/Android) and web. Ensure responsive, accessible, and device-optimized designs. Follow and contribute to the existing design system; identify areas for enhancement. Present design solutions and articulate design rationale to stakeholders. Partner with developers for smooth hand-off and implementation. Participate in iterative testing and incorporate feedback to refine designs. Demonstrate capability to prototype interactions and user flows at varying fidelity (low to high), suitable for usability testing and developer handoff. Good to have : Create small animations and interaction design animations to enhance micro-interactions and user delight. Join us if you have Experience with agile processes Grit and optimism to tackle challenges when things don't go according to plan Real attention to detail and passion for excellence that makes them obsess over every pixel in every design, no matter how small. Common sense and critical thinking that makes sure little things don't get missed, that details are thought through, that designs speak for themselves because they are thought through Desire to be a part of something bigger. This isn't a normal day job. You'll succeed if you're ambitious, and excited to build something that matters. Qualifications Education Bachelor’s degree in Design, Human-Computer Interaction, or related field (or equivalent practical experience). Experience 2–4 years of professional experience as a UI/UX Designer. Portfolio demonstrating strong UI/UX design skills for mobile and web platforms. Skills Proficiency in modern design and prototyping tools (Figma preferred, Sketch, Adobe XD, or similar, Adobe Essentials). Solid understanding of responsive design and mobile-first principles. Awareness of accessibility best practices and user-centered design. Strong visual design sense, with an eye for typography, layout, and color. Basic knowledge of HTML/CSS is a plus. Excellent communication, collaboration, and problem-solving skills. What We Offer Opportunity to work on cutting-edge technology that directly impacts rider safety and lives. A collaborative and innovative environment where your ideas are valued. Growth opportunities with mentorship from senior designers and cross-functional exposure. Competitive compensation and benefits.
About Quin Quin is redefining smart safety with real-time event detection and data-driven response systems that save lives. We embed our proprietary technology into helmets and wearables through B2B partnerships with global brands. With a strong foothold in motorcycling and a strategic focus on Cycling and Industrial Safety, our technology is already trusted by top names across the U.S. and Europe. We’re a fast-moving, purpose-driven team building industry-leading technology that brings intelligence into safety gear. If you’re ready to take ownership end-to-end design and development of complex PCB —this is your opportunity. About The Role We are seeking a driven and detail-oriented Hardware Engineer with 3 to 5 years of industry experience to play a key role in the design, development, and validation of our next-generation electronic systems. This role requires a deep understanding of board-level design and a solid grasp of system architecture. You’ll work closely with cross-functional teams to lead technical efforts from concept through production. Key Responsibilities Own the end-to-end design and development of complex multi-layer PCBs for embedded systems, including schematic capture, layout review, and component selection. Analog and digital circuit design expertise, including interfaces (SPI, I2C, UART, USB, etc.). Drive hardware bring-up, debugging, and validation using lab equipment (oscilloscopes, logic analyzers, etc.). Collaborate closely with firmware, mechanical, and manufacturing teams to ensure robust system integration. Optimize system performance for power and signal integrity across multiple form factors. Support design reviews and help define hardware architecture for new product lines. Interact with vendors and CM partners to manage BOMs, prototypes, and pre-production builds. Contribute to documentation, test plans, and design validation processes to ensure long-term reliability and scalability. Experience with BLE, BLE Mesh and Wi-Fi hardware design. Solid understanding of power electronics (DC-DC converters, battery management). Strong debugging skills using lab instruments. Required Qualifications B.Tech. or M.S. in Electronics Engineering or related field. 3–5 years of experience in hardware development, with proven exposure to full product development cycles. Strong experience with board-level design (schematics, layout, and BOM ownership). Hands-on experience with common lab/debug tools (oscilloscope, DMM, logic analyzer, etc.). Solid understanding of signal integrity, power delivery, EMI/EMC considerations, and DFM. Familiarity with high-speed digital design, power supply design, or RF fundamentals is a strong plus. Comfortable working independently and influencing design decisions across teams. Preferred Qualifications Experience designing for production-scale hardware at consumer or industrial grade. Exposure to compliance testing (FCC, CE, etc.). Knowledge of hardware/firmware interface debugging. Proficiency in design tools such as Altium or Cadence Allegro Exposure to wireless SoCs and embedded system design.
About Quin Quin is redefining smart safety with real-time event detection and data-driven response systems that save lives. We embed our proprietary technology into helmets and wearables through B2B partnerships with global brands. With a strong foothold in motorcycling and a strategic focus on Cycling and Industrial Safety, our technology is already trusted by top names across the U.S. and Europe. We’re a fast-moving, purpose-driven team building industry-leading technology that brings intelligence into safety gear. About The Role We’re looking for a hands-on Machine Learning Engineer with 3–5 years of experience to join our growing R&D team. You’ll play a critical role in developing and optimizing models that analyze real-time sensor data to extract meaningful patterns, trends, and insights. Your work will directly impact core product features used in real-world applications. This role requires strong data intuition, experience with time-series or sensor-based data, and a desire to build robust and scalable ML systems. You’ll collaborate with hardware, software, and domain experts to bring end-to-end solutions to life. Key Responsibilities Analyze and model real-time sensor data to detect events, classify patterns, and predict behaviors. Develop and fine-tune ML models for time-series data using supervised and unsupervised techniques. Work on feature engineering pipelines that include signal processing, data normalization, and transformation. Collaborate with cross-functional teams (e.g., hardware, firmware, mechanical) to understand data sources and context. Contribute to the deployment of ML models in real-time systems, ensuring performance and reliability. Design experiments, perform exploratory data analysis, and evaluate model accuracy and robustness. Communicate insights and findings to both technical and non-technical stakeholders. Basic Qualifications B.Tech. or M.S. in Computer Science, Data Science, or a related field. 3–5 years of experience working on machine learning, data science, or applied AI projects. Proficiency in Python and common ML/data libraries (e.g., scikit-learn, Pandas, NumPy, TensorFlow/PyTorch). Solid experience working with real-time or time-series data from sensors (IMUs, force sensors, accelerometers, etc.). Strong understanding of pattern recognition and statistical modeling techniques. Familiarity with digital signal processing techniques such as filtering, FFTs, and feature extraction. Preferred Qualifications Understanding of kinematics and biomechanical data analysis. Prior experience in gait analysis, movement science, or human activity recognition is a strong plus. Knowledge of sensor fusion and multi-modal data integration. Experience deploying models in production or on embedded systems. Familiarity with tools like MATLAB, SciPy, or OpenSim is helpful.
About Quin Quin is redefining smart safety with real-time event detection and data-driven response systems that save lives. We embed our proprietary technology into helmets and wearables through B2B partnerships with global brands. With a strong foothold in motorcycling and a strategic focus on Cycling and Industrial Safety , our technology is already trusted by top names across the U.S. and Europe. We’re a fast-moving, purpose-driven team building industry-leading technology that brings intelligence into safety gear. About The Role We’re looking for a Firmware / Embedded Systems Engineer with 3 to 5 years of hands-on experience in embedded development to support the design and optimization of cutting-edge low-power, sensor-driven wireless devices. In this role, you’ll be working on performance-critical systems involving BLE connectivity, real-time data processing, and custom hardware integrations. This is a great opportunity for an engineer who enjoys digging deep into firmware performance, power optimization, and working across the entire embedded stack—from board bring-up to wireless protocols and sensor data management. Key Responsibilities Develop, test, and maintain embedded firmware for custom hardware platforms, with a strong focus on BLE-based communication systems. Integrate and optimize sensors such as IMUs, accelerometers (digital and analog), and other low-power peripherals. Work with flash file systems, bootloaders, and memory management strategies for efficient data handling. Drive power optimization efforts across firmware, including deep sleep modes, peripheral management, and runtime tuning. Contribute to antenna and RF performance optimization in collaboration with hardware and RF teams. Support synchronized data collection across multiple devices for real-time streaming and data logging applications. Collaborate with cross-functional teams including hardware, app, and data science to deliver seamless end-to-end product functionality. Basic Qualifications B.Tech. or M.S. in Electronics Engineering, Embedded Engineering, or related discipline. 3–5 years of experience developing embedded firmware in C/C++ for ARM Cortex-M or similar microcontrollers. Proven experience with Bluetooth Low Energy (BLE) stacks and custom BLE services/profiles. Experience with IMUs, accelerometers, and integrating sensor data into real-time applications. Familiarity with flash memory, embedded file systems, and bootloaders. Strong debugging skills using tools like JTAG/SWD, oscilloscopes, logic analyzers, and protocol sniffers. Preferred Qualifications Experience with Nordic Semiconductor devices and the nRF Connect SDK (NCS). Knowledge of low-power design principles and techniques for battery-operated devices. Background in RF/antenna tuning and wireless performance testing. Understanding of BLE live streaming, synchronized data collection, and time-stamping accuracy across devices. Familiarity with protocols like Find My, ANT+, or other proprietary wireless standards is a strong plus. Exposure to both digital and analog accelerometers and their trade-offs in embedded systems.
About Quin Quin is redefining smart safety with real-time event detection and data-driven response systems that save lives. We embed our proprietary technology into helmets and wearables through B2B partnerships with global brands. With a strong foothold in motorcycling and a strategic focus on Cycling and Industrial Safety, our technology is already trusted by top names across the U.S. and Europe. We’re a fast-moving, purpose-driven team building industry-leading technology that brings intelligence into safety gear. If you’re ready to be a part of work that is making a human impact through tech —this is your opportunity. Job Description; We are seeking a passionate and experienced Senior iOS Developer to join our dynamic team and contribute to the development of exceptional iOS applications that enhance road safety and rider experience. As a key member of our development team, you will play a crucial role in shaping the future of our mobile applications and integrating them with our smart helmet Technology. Technical Skills (Experience: Senior Level); Expertise in Swift, SwiftUI, and Combine. Strong understanding of BLE, IoT protocols, and peripheral device communication. Experience implementing Firmware Over-The-Air (FOTA) updates (Nordic DFU or similar). Proficient in working with Firebase, MoEngage, and push notification customization. Good understanding of App Store Connect, TestFlight, provisioning, and release management. Experience with RevenueCat or similar in-app purchase solutions. Strong understanding of SPM, CocoaPods, and integrating 3rd party SDKs. Comfortable working with URLSession, JSON parsing, and modern concurrency (async/await). Familiar with Git workflows, Bitbucket pipelines, and Jira for agile development. Passion for clean architecture, code quality, and performance optimization. Key Responsibilities; Lead the development of iOS apps using SwiftUI (preferably SwiftUI 4.0 and above). Build and maintain complex, dynamic UI components with adaptive layouts. Integrate and manage Bluetooth Low Energy (BLE) devices and support IoT communication protocols. Implement and manage FOTA updates using platforms like Nordic DFU or custom update protocols. Handle push notifications including rich media notifications with Firebase Cloud Messaging (FCM) and MoEngage. Manage in-app purchases and subscriptions using RevenueCat or Apple’s StoreKit framework. Configure and maintain App Store distribution, TestFlight builds, and release pipelines. Create and manage Swift Package Manager (SPM) modules and reusable components. Work with RESTful APIs using URLSession, async/await, and Combine for data flow and reactive bindings. Evaluate and implement new iOS 18 APIs, ensuring apps leverage the latest Apple platform capabilities. Debug, track, and resolve complex issues using Jira, Bitbucket, and Git. Collaborate with cross-functional teams in Agile/Scrum environments Work with 3d models Familiarity with CoreBluetooth, background BLE operations, and watchOS Work with location manager/geo fencing Experience with Quality practices like test driven development,CI/CD, writing code covered with automated tests , performing pull request reviews (code reviews) for alignment with coding standards and best practices for ios development Has good experience with handling application performance tuning, app profiling, memory management code optimizations, integration with APIs, optimization of memory, battery and CPU for the apps Required Qualifications; Bachelor’s degree in Computer Science, Software Engineering, or related field 5+ years of experience in iOS app development Strong proficiency in Swift, SwiftUI, and iOS ecosystem Expert in programming for processing, algorithm integration, and optimization Deep understanding of iOS design patterns and architectural principles Experience with Core Bluetooth, BLE programming, and location management Strong knowledge of databases, backend services, and UI/UX principles Excellent problem-solving, debugging, and communication skills Experience with Core Data, Firebase, and analytics tools Familiarity with payment integration (Apple IAP) Knowledge of CI/CD pipelines and automation tools Experience with Agile methodologies and sprint-based delivery Nice to Have; Exposure to ARKit, VisionKit, or other iOS 18-specific features. Experience in unit testing, UI testing, or CI/CD automation. Why Join Quin; At Quin, you will be part of a passionate team dedicated to making a real difference in riders' lives. We offer a dynamic work environment where your ideas can directly impact product development and rider safety. You will have the opportunity to work on ground-breaking technology, collaborate with passionate experts, and contribute to shaping the future of rider safety. Join us in our mission to make riding smarter, safer, and more enjoyable. If you are excited about leveraging cutting-edge technology to enhance road safety and rider experience, Quin is the perfect place for you to accelerate your career. We are not just employees, we are innovators, riders, and guardians of the road. Come be part of a company that is redefining what it means to ride safely in the modern world.
About Quin Quin is redefining smart safety with real-time event detection and data-driven response systems that save lives. We embed our proprietary technology into helmets and wearables through B2B partnerships with global brands. With a strong foothold in motorcycling and a strategic focus on Cycling and Industrial Safety, our technology is already trusted by top names across the U.S. and Europe. We’re a fast-moving, purpose-driven team building industry-leading technology that brings intelligence into safety gear. If you’re ready to be a part of work that is making a human impact through tech —this is your opportunity. Job Description We are seeking a passionate and experienced Android Developer to join Quin’s growing team and help shape the future of smart safety technology. You’ll take a leading role in building Android applications that deliver seamless user experiences and connect with cutting-edge devices in our product ecosystem. This role is central to bringing intelligence, usability, and performance together to create technology that has a direct human impact. Responsibilities Design, develop, test, and maintain high-quality Android applications using Kotlin and Java. Build scalable, reusable, and maintainable code aligned with modern Android development practices. Create polished and intuitive UI experiences, including custom components and smooth animations. Collaborate with cross-functional teams to define requirements, prioritize features, and deliver value on time. Prototype and evaluate new ideas, tools, and frameworks to drive product innovation. Ensure applications are optimized for performance, reliability, and responsiveness across a variety of environments. Integrate applications with external systems, devices, and services where required. Conduct code reviews, champion best practices, and contribute to continuous improvement across the team. Stay current with emerging Android technologies (e.g., Jetpack Compose, new APIs) and share insights with the team. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. 3+ years of professional Android development experience with a proven track record of shipping apps. Strong expertise in Kotlin (primary) and Java. Deep knowledge of the Android SDK, Jetpack libraries, and modern architectural patterns (e.g., MVVM, Clean Architecture). Experience building applications that integrate with connected devices or external hardware. Familiarity with Bluetooth/BLE, location services, and third-party API integrations. Proficiency with RESTful API integration and local data storage solutions. Hands-on experience with dependency injection, testing frameworks, and CI/CD practices. Strong debugging and performance optimization skills. Preferred Skills Experience with advanced UI frameworks (e.g., Jetpack Compose). Knowledge of performance monitoring tools and mobile analytics. Exposure to connected products, wearables, or IoT environments. Soft Skills Strong problem-solving abilities with a focus on practical, scalable solutions. Excellent communication skills for working across disciplines. Self-motivated and proactive, with the ability to take ownership of outcomes. A strategic thinker who can balance detail orientation with long-term vision. Why Join Quin At Quin, you’ll be part of a fast-moving, purpose-driven team redefining what safety technology can do. You’ll work alongside passionate engineers and designers, contribute directly to groundbreaking products, and see the real-world impact of your work. If you thrive on building world-class mobile experiences and want to be part of a mission that truly matters, Quin is the place to accelerate your career.
About Quin Quin is redefining smart safety with real-time event detection and data-driven response systems that save lives. We embed our proprietary technology into helmets and wearables through B2B partnerships with global brands. With a strong foothold in motorcycling and a strategic focus on Cycling and Industrial Safety , our technology is already trusted by top names across the U.S. and Europe. We're a fast-moving, purpose-driven team building industry-leading technology that brings intelligence into safety gear. About The Role We're looking for a Firmware / Embedded Systems Engineer with 3 to 5 years of hands-on experience in embedded development to support the design and optimization of cutting-edge low-power, sensor-driven wireless devices. In this role, you'll be working on performance-critical systems involving BLE connectivity, real-time data processing, and custom hardware integrations. This is a great opportunity for an engineer who enjoys digging deep into firmware performance, power optimization, and working across the entire embedded stackfrom board bring-up to wireless protocols and sensor data management. Key Responsibilities Develop, test, and maintain embedded firmware for custom hardware platforms, with a strong focus on BLE-based communication systems. Integrate and optimize sensors such as IMUs, accelerometers (digital and analog), and other low-power peripherals. Work with flash file systems, bootloaders, and memory management strategies for efficient data handling. Drive power optimization efforts across firmware, including deep sleep modes, peripheral management, and runtime tuning. Contribute to antenna and RF performance optimization in collaboration with hardware and RF teams. Support synchronized data collection across multiple devices for real-time streaming and data logging applications. Collaborate with cross-functional teams including hardware, app, and data science to deliver seamless end-to-end product functionality. Basic Qualifications B.Tech. or M.S. in Electronics Engineering, Embedded Engineering, or related discipline. 35 years of experience developing embedded firmware in C/C++ for ARM Cortex-M or similar microcontrollers. Proven experience with Bluetooth Low Energy (BLE) stacks and custom BLE services/profiles. Experience with IMUs, accelerometers, and integrating sensor data into real-time applications. Familiarity with flash memory, embedded file systems, and bootloaders. Strong debugging skills using tools like JTAG/SWD, oscilloscopes, logic analyzers, and protocol sniffers. Preferred Qualifications Experience with Nordic Semiconductor devices and the nRF Connect SDK (NCS). Knowledge of low-power design principles and techniques for battery-operated devices. Background in RF/antenna tuning and wireless performance testing. Understanding of BLE live streaming, synchronized data collection, and time-stamping accuracy across devices. Familiarity with protocols like Find My, ANT+, or other proprietary wireless standards is a strong plus. Exposure to both digital and analog accelerometers and their trade-offs in embedded systems.
About Quin Quin is redefining smart safety with real-time event detection and data-driven response systems that save lives. We embed our proprietary technology into helmets and wearables through B2B partnerships with global brands. With a strong foothold in motorcycling and a strategic focus on cycling and industrial safety, our technology is already trusted by top names across the U.S. and Europe. We are a fast-moving, purpose-driven team building industry-leading technology that brings intelligence into safety gear. Every product we ship has a tangible impact, and every engineer at Quin has the opportunity to shape technology that protects lives. Why Quin? Foundation of Intelligence: Your data work is the foundation that ML algorithms are built upon. Quality data you create enables breakthrough algorithms. Learn ML Pipeline: Gain hands-on experience with the complete ML data pipeline, collection, labeling, validation, and organization. Learn how data science teams work. Hands-On Technical Work: Work with sensors, test rigs, data tools, and real hardware daily. Develop practical skills with technical systems. Growth Path: This role is a stepping stone to data science, ML engineering, or algorithm development. Learn the foundations while contributing. Mission Support sensor data collection, labeling, and validation that enables high-quality algorithm development and machine learning. About The Role We are seeking a Data Lab Technician to join our R&D team and support the data infrastructure that powers our machine learning and algorithm development. You will help collect, organize, label, and validate sensor data used to train and test our crash detection algorithms. You will work with test fixtures, data collection systems, labeling tools, and validation procedures to create high-quality datasets. This role provides hands-on experience with sensor systems, data pipelines, and the full cycle of ML data preparation. This position is ideal for someone with hardware testing basics who wants to gain experience in data science and ML, or for someone early in their career who wants to contribute to meaningful technical work while learning. If you're detail-oriented, interested in data and sensors, and want to support breakthrough ML development, join our team. What You'll Do At Quin, this isn't just a job, it's a mission. Here's how you'll make an impact: Setup Test Rigs: Assemble and configure test fixtures, mounting systems, and sensor rigs for controlled data collection experiments. Ensure sensors are properly positioned, calibrated, and secured. Execute Data Collection: Run structured data collection protocols using test rigs, drop setups, and motion simulators. Capture sensor data for various motion scenarios, crash types, and edge cases. Follow procedures precisely. Label and Annotate Data: Review collected sensor data, identify crash events, classify incident types, label key features, and annotate edge cases. Ensure high-quality, accurate labels for ML training. Use labeling software systematically. Organize Datasets: Maintain organized data repositories with clear naming conventions, proper metadata, and systematic folder structures. Ensure data is properly archived, backed up, and accessible to algorithm teams. Assist with Validation: Support algorithm validation by running specific test scenarios, collecting validation data, comparing algorithm predictions against ground truth, and documenting discrepancies. Maintain Lab Equipment: Keep data collection equipment organized, calibrated, and in good working condition. Charge batteries, update firmware, troubleshoot equipment issues, and maintain test fixture inventory. Document Procedures: Create and maintain clear documentation for data collection procedures, test setups, labeling guidelines, and data organization standards. Help train new team members. Support Algorithm Team: Respond to data requests from ML and algorithm engineers promptly. Provide datasets with proper documentation. Help explain data collection conditions and potential data quality issues. Basic Qualifications Hardware testing basics, lab technician experience, or similar hands-on technical background High school diploma required; Bachelor's degree in a technical field preferred Strong attention to detail and systematic, methodical approach to work Comfortable with computers, learning new software tools, and working with data files Ability to follow detailed procedures accurately and consistently Good organizational skills and ability to maintain structured datasets Interest in data, sensors, machine learning, and technology Good to Have Python familiarity for basic data processing and visualization Experience with data labeling, annotation tools, or data organization systems Understanding of sensor systems, IMUs, or accelerometers from coursework or projects Background in lab work, technical testing, or data collection environments Interest in pursuing career in data science, ML engineering, or algorithm development Proficiency with spreadsheets, databases, and data management tools Experience with version control (Git) or collaborative data platforms Why You'll Love Working Here Learn ML Foundations: Gain hands-on experience with how ML models are trained. Understand the data pipeline from collection to deployment. Systematic Work: If you enjoy organized, methodical work with clear procedures and tangible outputs, this role is satisfying. Direct Impact: The datasets you create enable breakthrough algorithms. Your labeling quality directly affects model accuracy. Growth Path: Use this role as a springboard to data science or ML engineering. Learn foundations while contributing. Hands-On Technical: Work with real sensors, test rigs, and data systems. Develop practical technical skills. Supportive Team: Work closely with algorithm engineers who appreciate quality data work. Learn from experts. Your Impact You ensure our algorithm teams have the high-quality, well-labeled, properly organized data they need to build accurate crash detection models. The datasets you create directly enable the machine learning that saves lives. Every label you create carefully, every data collection you execute precisely, contributes to models that detect crashes and protect riders.
About Quin Quin is redefining smart safety with real-time event detection and data-driven response systems that save lives. We embed our proprietary technology into helmets and wearables through B2B partnerships with global brands. With a strong foothold in motorcycling and a strategic focus on cycling and industrial safety, our technology is already trusted by top names across the U.S. and Europe. We are a fast-moving, purpose-driven team building industry-leading technology that brings intelligence into safety gear. Every product we ship has a tangible impact, and every engineer at Quin has the opportunity to shape technology that protects lives. Why Quin? Become a Test Expert: Build deep expertise in hardware validation, test methodologies, and measurement techniques. Develop skills that are valuable across the electronics industry. Systematic Impact: Your thorough testing catches issues before they reach customers. Every test you run, every anomaly you catch contributes to product reliability. Hands-On Every Day: Work in the lab with real hardware, test equipment, and measurement tools. Develop practical skills with oscilloscopes, power analyzers, and environmental chambers. Quality Guardian: Be the last line of defense ensuring only well-validated hardware ships. Take pride in thoroughness and attention to detail. Mission Execute comprehensive hardware validation testing and develop test procedures that ensure the quality and reliability of safety-critical electronics. About The Role We are seeking a Junior Hardware Test Engineer with 1–3 years of experience to join our quality assurance team. You will be responsible for testing and validating our hardware designs to ensure they meet all performance, reliability, and safety requirements. You will execute test procedures, develop new test methods, analyze results, build test fixtures, and work with the hardware team to identify and resolve issues. This role provides comprehensive experience with test methodologies, measurement techniques, and systematic validation approaches. This is an ideal role for engineers who enjoy systematic testing, troubleshooting, and ensuring product quality through rigorous validation. You'll develop expertise that's valuable throughout your career. If you're detail-oriented, enjoy lab work, and want to ensure products meet the highest quality standards, join our team. What You'll Do At Quin, this isn't just a job, it's a mission. Here's how you'll make an impact: Execute Hardware Test Plans: Run comprehensive validation tests on prototype and production hardware following detailed procedures. Document results systematically and identify deviations from specifications. Develop Test Procedures: Create clear, detailed test procedures for functional validation, performance characterization, and reliability testing. Make tests repeatable and comprehensive. Characterize Electrical Performance: Measure and analyze power consumption, signal integrity, sensor accuracy, RF performance, and other electrical parameters. Compare against specifications and identify issues. Build Test Fixtures: Design and fabricate test fixtures, cables, and setups needed for hardware validation. Create tools that enable efficient, repeatable testing across multiple units. Conduct Environmental Testing: Run temperature, humidity, vibration, shock, and drop tests using environmental chambers. Validate hardware performs correctly under extreme conditions. Analyze Test Data: Process test data, create reports, identify trends, and flag anomalies. Use statistical methods to assess yield and reliability. Work with engineering on root cause analysis. Support Production Testing: Develop production test procedures, work with manufacturing partners on test station setup, train factory technicians, and validate production testing effectiveness. Maintain Test Infrastructure: Keep lab equipment calibrated, organized, and maintained. Manage test documentation, ensure fixtures are in good condition, and maintain test environment. Collaborate with Engineering: Report findings clearly to hardware and firmware teams. Support debugging sessions and validate fixes systematically. Basic Qualifications 2+ years of hardware testing, validation, or lab technician experience Bachelor's degree in Electrical Engineering, Electronics, or related technical field Proficiency with lab equipment: oscilloscopes, multimeters, function generators, power supplies, spectrum analyzers Strong attention to detail and systematic approach to testing and documentation Ability to read and understand schematics and circuit functionality Basic understanding of electronics, measurement principles, and test methodologies Good technical writing skills for test documentation and reports Good to Have Experience with environmental testing chambers and reliability testing Knowledge of RF testing techniques and spectrum analyzer usage Familiarity with automated test equipment (ATE) and test automation Understanding of statistical analysis, data processing, and visualization Experience with test automation or scripting (Python, MATLAB, LabVIEW) Knowledge of product qualification standards and test requirements Background in IoT device testing, wearables, or consumer electronics Why You'll Love Working Here Become an Expert: Develop deep expertise in hardware testing, validation, and quality assurance. Build skills valued industry-wide. Hands-On Work: Spend time in the lab with real hardware and test equipment. Practical, tangible work every day. Make a Difference: Your thorough testing ensures product reliability. The issues you catch prevent field failures. Systematic Approach: Develop rigorous, methodical approaches to testing and validation. Build attention to detail. Learn Continuously: Work with diverse hardware, test methods, and measurement techniques. Constantly expand your knowledge. Collaborate: Work closely with hardware and firmware engineers. Understand how testing fits into the development cycle. Your Impact Your thorough testing ensures our hardware meets the highest quality standards. Every test you run, every issue you identify, and every validation you complete directly contributes to products that people trust with their safety. The reliability you validate saves lives.
About Quin Quin is redefining smart safety with real-time event detection and data-driven response systems that save lives. We embed our proprietary technology into helmets and wearables through B2B partnerships with global brands. With a strong foothold in motorcycling and a strategic focus on cycling and industrial safety, our technology is already trusted by top names across the U.S. and Europe. We are a fast-moving, purpose-driven team building industry-leading technology that brings intelligence into safety gear. Every product we ship has a tangible impact, and every engineer at Quin has the opportunity to shape technology that protects lives. Why Quin? Own Product Quality: Be responsible for the complete user experience across hardware, firmware, and mobile apps. Your testing ensures everything works together seamlessly. Broad Technical Scope: Work across the full IoT stack, test hardware reliability, validate BLE connectivity, verify mobile apps, and ensure end-to-end workflows work flawlessly. Prevent Issues, Don't Just Find Them: Build test automation, define quality processes, and work with teams to build quality in from the start. Strategic quality engineering. Critical Role: In safety-critical products, QA isn't optional, it's essential. Your work directly impacts whether our technology works reliably when lives depend on it. Mission Assure end-to-end reliability across our hardware, firmware, and mobile app ecosystem through comprehensive testing, automation, and quality engineering. About The Role We are looking for a QA Engineer with 2–4 years of experience to own quality assurance for our complete IoT product ecosystem. You will test hardware reliability, firmware functionality, BLE connectivity, mobile apps (iOS and Android), and end-to-end user workflows. You will develop test strategies, create automation frameworks, execute manual testing, analyze issues, and ensure our products meet the highest quality standards. This role requires both technical depth and breadth across hardware, firmware, and software. This position is ideal for detail-oriented engineers who understand the full IoT stack, are passionate about quality, and want to work on safety-critical applications where quality truly matters. If you love finding edge cases, building automation, and ensuring products work flawlessly, join our quality engineering team. What You'll Do At Quin, this isn't just a job, it's a mission. Here's how you'll make an impact: Develop Comprehensive Test Strategies: Create test plans covering hardware reliability, firmware functionality, BLE connectivity, mobile apps, cloud backend, and end-to-end workflows. Define what good looks like. Execute Hardware Reliability Testing: Run drop tests, crash simulations, environmental testing (temperature, humidity, vibration), and durability validation. Ensure hardware withstands real-world abuse. Validate BLE Connectivity: Test BLE pairing, bonding, data transfer, reconnection, and error handling across various mobile devices, OS versions, and RF environments. Build comprehensive BLE test matrices. Test Mobile Applications: Execute functional, usability, performance, and compatibility testing for iOS and Android apps. Test across device models, OS versions, and configurations. Build Test Automation: Create automated test scripts for regression testing, API validation, and continuous integration. Use frameworks like Appium, Espresso, XCTest, or custom solutions. Design Real-World Test Scenarios: Create field tests simulating actual riding conditions and use cases. Validate system behavior in real environments, not just controlled labs. Track and Analyze Issues: Document bugs clearly with reproduction steps, screenshots, logs, and videos. Track defects through resolution, verify fixes, and analyze defect trends. Collaborate with Development: Work closely with firmware, hardware, and mobile app teams to understand features, provide early feedback, and ensure quality is built in throughout development. Establish Quality Metrics: Define quality KPIs, track test coverage, monitor defect metrics, and provide visibility into product quality. Drive continuous improvement. Basic Qualifications 2–4 years of QA engineering experience testing hardware and software products Bachelor's degree in Computer Science, Engineering, or related technical field Experience testing both hardware products and mobile applications Strong understanding of BLE protocols, IoT systems, and device-app-cloud architecture Hands-on experience with mobile app testing on iOS and Android platforms Proficiency with test automation tools and frameworks (Appium, Selenium, Espresso, XCTest) Experience with bug tracking systems (Jira, Linear, Bugzilla) and test management tools Strong analytical and problem-solving skills with attention to detail Good to Have IoT QA experience testing wearable devices, smart home products, or connected hardware Experience with safety-critical or medical device testing and validation Knowledge of test automation frameworks and CI/CD integration (Jenkins, GitHub Actions) Proficiency with scripting languages for test automation (Python, JavaScript) Experience with performance testing, load testing, and test data analysis Understanding of hardware reliability testing standards and methodologies Familiarity with API testing tools (Postman, REST-assured) and backend testing Experience with BLE packet sniffers, protocol analyzers, and wireless debugging tools Why You'll Love Working Here Broad Impact: Own quality across the full product stack, hardware, firmware, BLE, mobile apps, and cloud. See the complete picture. Challenging Problems: Test IoT reliability, BLE edge cases, mobile app compatibility, solve real, interesting QA challenges. Build Automation: Create test frameworks that provide lasting value. Move beyond manual testing to strategic quality engineering. Direct Influence: Work closely with development teams. Provide feedback early. Influence design decisions to improve quality. See Results: Watch product quality improve based on your testing, automation, and feedback. See fewer field issues because of your work. Safety-Critical Mission: Know that your thoroughness directly contributes to product reliability and user safety. Your Impact You validate that our entire system works flawlessly together, from the device on someone's helmet to the BLE connection to their phone to the emergency alert reaching their contacts. Your comprehensive testing ensures users can trust our products when their safety depends on it. You're the final guardian of quality before products reach riders.
About Quin Quin is redefining smart safety with real-time event detection and data-driven response systems that save lives. We embed our proprietary technology into helmets and wearables through B2B partnerships with global brands. With a strong foothold in motorcycling and a strategic focus on cycling and industrial safety, our technology is already trusted by top names across the U.S. and Europe. We are a fast-moving, purpose-driven team building industry-leading technology that brings intelligence into safety gear. Every product we ship has a tangible impact, and every engineer at Quin has the opportunity to shape technology that protects lives. Why Quin? Architect Systems That Save Lives: You won't be building generic IoT platforms, you'll architect the complete technology stack that detects crashes, connects devices, and triggers emergency responses. Your architectural decisions literally determine whether our system works when someone needs help. Own the Complete Platform: This is genuine systems architecture. You'll design how hardware talks to firmware, how devices communicate with mobile apps, how data flows to the cloud, how services scale, and how everything integrates seamlessly. True end-to-end ownership. Solve Real Technical Challenges: Real-time crash detection at the edge. Ultra-reliable BLE connectivity. Scalable cloud architecture. Offline-first mobile apps. Data synchronization across distributed systems. Security and privacy at every layer. These are hard, interesting problems that require deep technical expertise. Technical Leadership with Impact: Lead architecture, mentor engineers across hardware/firmware/mobile/backend teams, drive technical strategy, and see your architectural vision protecting riders worldwide. This is technical leadership that matters. Mission Architect and lead the end-to-end IoT platform that seamlessly integrates hardware, firmware, mobile apps, and cloud services into a cohesive, life-saving ecosystem. About The Role We are seeking an IoT Solutions Architect / Engineer with 7–10 years of experience to lead the architecture and integration of our complete IoT platform. This is the most senior technical role focused on systems architecture, you'll be responsible for ensuring all components (hardware, firmware, BLE, mobile apps, cloud backend, data pipelines) work together seamlessly. You will define the technical architecture, establish integration patterns, design communication protocols, ensure system reliability and scalability, and drive technical decisions across the organization. You'll work with hardware, firmware, mobile, backend, and ML teams to create a cohesive platform that works flawlessly in life-critical situations. This role requires broad technical expertise across the full IoT stack combined with deep knowledge in multiple areas. You should have strong experience with embedded systems, wireless protocols, mobile app architectures, cloud platforms, and distributed systems. You must be able to dive deep into any layer of the stack while maintaining the big-picture architectural vision. If you're a systems thinker who loves designing elegant architectures, solving complex integration challenges, and leading technical strategy for products that save lives, this is your opportunity. What You'll Do At Quin, this isn't just a job, it's a mission. Here's how you'll make an impact: Define Platform Architecture: Architect the complete IoT platform from device to cloud. Design how components communicate, how data flows through the system, how services scale, and how everything integrates reliably. Make fundamental architectural decisions that shape the platform for years. Design Communication Protocols: Define BLE protocols between devices and mobile apps, API contracts between mobile and backend, data sync strategies, and message formats. Ensure protocols are efficient, extensible, and robust against failures. Establish Integration Patterns: Create patterns and standards for hardware-firmware integration, firmware-mobile communication, mobile-backend sync, and service-to-service communication. Build frameworks that make integration straightforward and reliable. Integrate Multi-Sensor Systems: Design conditioning circuits for IMUs, accelerometers, force sensors, and environmental sensors. Ensure accurate signal acquisition, proper filtering, and robust noise immunity in harsh environments. Ensure System Reliability: Design for fault tolerance, graceful degradation, error recovery, and resilience. Architect systems that work reliably even with network failures, device crashes, or unexpected conditions. Safety-critical systems must always work. Drive Scalability and Performance: Architect cloud services that scale efficiently from hundreds to millions of devices. Optimize data pipelines, design efficient sync protocols, and ensure low latency for time-critical operations like crash detection and emergency alerts. Lead Security and Privacy: Design security architecture including device authentication, encrypted communication, secure data storage, privacy-preserving analytics, and compliance with regulations. Security must be built into every layer. Mentor and Lead Engineers: Provide technical guidance to engineers across hardware, firmware, mobile, and backend teams. Conduct architecture reviews, drive design decisions, establish best practices, and elevate technical capabilities across the organization. Solve Integration Challenges: Debug complex issues that span multiple layers of the stack. When the device won't connect to the app, when data sync fails, when crash detection doesn't trigger alerts, you diagnose and fix cross-system problems. Drive Technical Innovation: Evaluate new technologies, assess their fit for our platform, prototype solutions, and drive adoption of techniques that improve the product. Stay at the forefront of IoT, edge computing, and distributed systems. Establish Development Standards: Define coding standards, API design guidelines, testing strategies, deployment processes, and documentation practices. Build technical foundations that enable the team to move fast without breaking things. Partner with Product and Leadership: Translate business requirements into technical architecture. Advise on what's possible, what's hard, and what's risky. Influence product roadmap based on technical insights and platform capabilities. Basic Qualifications 7–10 years of professional experience in IoT systems, distributed systems, or full-stack platform development Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical field Deep technical expertise across multiple layers of the IoT stack: embedded systems, wireless protocols, mobile development, backend services, and cloud infrastructure Strong hands-on experience with BLE protocols, IoT connectivity, and device-to-cloud communication patterns Proven experience in architecting and building production IoT platforms or distributed systems that scaled successfully Solid understanding of cloud platforms (AWS, GCP, or Azure), including serverless architectures, databases, message queues, and microservices Experience with mobile application architectures (iOS and Android) and mobile-backend integration patterns Strong knowledge of embedded systems, firmware development, and hardware-software integration Experience with data synchronisation, conflict resolution, and offline-first architectures Track record of technical leadership, mentoring engineers, and driving architectural decisions across teams Good to Have Experience in architecting wearable IoT platforms, connected health devices, or safety-critical systems Deep expertise in BLE mesh networking, Thread, Zigbee, or other IoT wireless protocols Background in real-time systems, edge computing, or embedded ML deployment Experience with time-series databases, sensor data pipelines, and real-time analytics platforms Knowledge of embedded Linux, RTOS development, or low-level system programming Familiarity with safety standards (ISO 26262, IEC 61508) and regulatory compliance for safety-critical systems Experience with DevOps practices, CI/CD pipelines, infrastructure as code, and container orchestration Understanding of privacy regulations (GDPR, CCPA) and building privacy-preserving systems Published architecture designs, technical blog posts, or conference presentations on IoT systems Experience in startup or high-growth environments where you've scaled platforms rapidly Why You'll Love Working Here Architect End-to-End Systems: Design the complete platform from device silicon to cloud services. True systems architecture with broad scope and deep impact. Technical Leadership: Lead architecture, mentor engineers, drive technical strategy. This is genuine technical leadership, not management. Solve Hard Problems: Real-time edge processing, reliable wireless connectivity, scalable cloud architecture, data sync, security, tackle substantive technical challenges. See Global Impact: Your architecture runs on thousands of devices protecting riders worldwide. See your designs enabling crash detection and emergency responses. Work Across Stack: Dive into firmware, review mobile code, design backend services, optimise cloud infrastructure. Use your full range of technical skills. Fast Decision Making: No bureaucracy, no committees, no endless reviews. Make architectural decisions quickly and see them implemented. Influence Direction: Your technical insights directly influence product roadmap, company strategy, and resource allocation. Your voice matters. Build Great Systems: Take pride in elegant, robust, well-designed systems. Build architecture that engineers love working with and that scales effortlessly. Your Impact Your architecture is the foundation that everything builds upon. Every component interaction you design, every protocol you define, every integration pattern you establish determines whether our system works reliably when someone crashes. Your architectural decisions enable our devices to detect crashes accurately, connect reliably, sync data seamlessly, and trigger emergency responses instantly. You create the technical platform that saves lives at scale.
About Quin Quin is redefining smart safety with real-time event detection and data-driven response systems that save lives. We embed our proprietary technology into helmets and wearables through B2B partnerships with global brands. With a strong foothold in motorcycling and a strategic focus on cycling and industrial safety, our technology is already trusted by top names across the U.S. and Europe. We are a fast-moving, purpose-driven team building industry-leading technology that brings intelligence into safety gear. Every product we ship has a tangible impact, and every engineer at Quin has the opportunity to shape technology that protects lives. Why Quin Define the Future of Motion Intelligence: This isn't an execution role, it's a leadership position where you'll set the technical vision for Quin's core algorithms. Your architectural decisions will guide the company for years to come. Solve Genuinely Hard Problems: Real-time crash detection from noisy IMU signals. Distinguishing true crashes from false positives. Sensor fusion across multiple modalities. Physics-informed ML models. These are fundamental, challenging problems at the frontier of motion analysis. Lead with Impact: You'll mentor engineers, drive technical strategy, and see your algorithms protecting riders worldwide. Your work sets the competitive advantage that makes Quin the leader in smart safety. Shape Product Direction: Work directly with founders and product leaders to define what we build next. Your technical expertise directly influences company strategy and product roadmap. Mission Lead Quin's motion intelligence platform, architect advanced IMU-based crash detection and behavioral sensing algorithms that form the core of our safety technology. About The Role We are seeking a Principal Motion Algorithm Engineer with 610 years of experience to lead the technical vision and execution of our motion algorithm platform. This is the most senior IC technical role in motion algorithms, you'll be the architect of our crash detection, motion analysis, and sensor fusion systems. You will define the long-term technical roadmap, set performance benchmarks, architect next-generation algorithms, and mentor the engineering team. You'll work at the intersection of signal processing, physics, and machine learning to build the industry's most accurate and reliable crash detection system. This role requires deep expertise in IMU-based systems, sensor fusion, and motion analysis, combined with the ability to translate complex physics into practical, production-ready algorithms. You should have a track record of shipping algorithms in real-world products and the vision to push beyond current state-of-the-art. If you're a technical leader who loves hard motion analysis problems, wants to architect systems that save lives, and thrives on mentoring engineers while driving technical excellence, this is the role for you. What You'll Do At Quin, this isn't just a job, it's a mission. Here's how you'll make an impact: Set the Technical Vision: Define the long-term algorithm roadmap, set performance targets that push the industry forward, and architect the next generation of motion intelligence systems. Your vision guides the team's work for years. Architect Sensor Fusion Systems: Design sophisticated multi-sensor fusion algorithms combining IMU, magnetometer, barometer, GPS, and BLE RSSI data. Create holistic understanding of motion, context, and crash dynamics from diverse sensor streams. Build Physics-Informed ML Hybrid Models: Develop advanced algorithms that combine classical physics-based models with machine learning approaches. Achieve both explainability and superior performance by leveraging domain knowledge and data-driven techniques. Design Validation Methodologies: Create comprehensive test protocols for crash scenarios, riding behaviors, and industrial safety applications. Define how we measure algorithm performance and validate improvements systematically. Optimize Firmware-Algorithm Interface: Work with firmware engineers to optimize algorithm implementation for embedded systems. Balance algorithmic sophistication with computational constraints while maintaining performance. Lead Field Testing Programs: Design and oversee large-scale field validation campaigns. Analyze thousands of rides, captures, and edge cases to continuously improve algorithm robustness. Mentor and Develop Engineers: Provide technical leadership to motion and firmware engineers. Conduct design reviews, guide problem-solving, and accelerate team capability. Build a culture of technical excellence. Drive Innovation: Stay at the forefront of motion analysis research, evaluate new techniques, publish findings, and integrate cutting-edge approaches into our platform. Represent Quin technically in the industry. Partner Across Functions: Collaborate with product, hardware, ML, and firmware teams to ensure algorithms meet both technical and business requirements. Translate complex technical concepts for non-technical stakeholders. Basic Qualifications 610 years of professional experience in motion algorithms, IMU-based systems, robotics, or related fields Master's or Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or related field (or equivalent experience) Deep expertise in sensor fusion, Kalman filtering, particle filters, and state estimation techniques Strong programming skills in both Python (for research and prototyping) and C/C++ (for embedded deployment) Expert knowledge of signal processing: FFT, filtering, spectral analysis, wavelet transforms, and time-frequency methods Strong understanding of kinematics, dynamics, rigid body motion, and motion physics Proven track record of shipping algorithms in production systems and solving real-world motion analysis problems Demonstrated leadership experience mentoring engineers and driving technical strategy Good to Have Experience in automotive safety systems, industrial safety, sports technology, or helmet/impact sensing Background in crash biomechanics, impact analysis, or safety standards (Snell, DOT, ECE) Experience with motion capture systems, gait analysis, or human motion modeling Published research in top-tier conferences or journals on motion analysis, sensor fusion, or related topics Experience leading technical teams, conducting design reviews, and driving engineering best practices Deep knowledge of BLE RSSI-based localization, proximity detection, and wireless sensor networks Understanding of safety certification requirements (ISO 26262, IEC 61508) and regulatory processes Experience with real-time embedded algorithm optimization and deployment Why You'll Love Working Here Technical Leadership: Set the direction. Architect systems. Make decisions that matter. This is genuine technical leadership, not management. Hard Problems: Work on algorithm challenges at the frontier of motion intelligence. Publish-worthy problems that push the state of the art. Massive Impact: Your algorithms are the core competitive advantage. When Quin detects crashes better than anyone else, it's because of your work. Mentor and Build: Develop engineers, elevate team capabilities, and build an engineering culture you're proud of. See Global Impact: Watch your algorithms protecting riders across the US, Europe, and beyond. See crash detection saves, emergency responses, and lives protected. Work with Experts: Collaborate with world-class hardware, firmware, ML, and product teams who share your commitment to excellence. Shape Strategy: Your technical vision directly influences company direction, product roadmap, and strategic decisions. Your Impact Your intelligence stack is the core safety engine of Quin products. The algorithms you architect determine how accurately we detect crashes, how quickly we respond to emergencies, how well we understand rider behavior, and ultimately how many lives we save. Your work creates the fundamental competitive advantage that makes Quin the best in the industry. Engineers will build on your foundations for years to come.
Role Overview: Quin is redefining smart safety by embedding proprietary technology into helmets and wearables through B2B partnerships. As a Data Lab Technician at Quin, you will support sensor data collection, labeling, and validation to enable high-quality algorithm development and machine learning. Your role will involve working with test fixtures, data collection systems, labeling tools, and validation procedures to create datasets for training and testing crash detection algorithms. Key Responsibilities: - Setup Test Rigs: - Assemble and configure test fixtures, mounting systems, and sensor rigs for controlled data collection experiments. - Ensure sensors are properly positioned, calibrated, and secured. - Execute Data Collection: - Run structured data collection protocols using test rigs, drop setups, and motion simulators. - Capture sensor data for various motion scenarios, crash types, and edge cases. Follow procedures precisely. - Label and Annotate Data: - Review collected sensor data, identify crash events, classify incident types, label key features, and annotate edge cases. - Ensure high-quality, accurate labels for ML training. Use labeling software systematically. - Organize Datasets: - Maintain organized data repositories with clear naming conventions, proper metadata, and systematic folder structures. - Ensure data is properly archived, backed up, and accessible to algorithm teams. - Assist with Validation: - Support algorithm validation by running specific test scenarios, collecting validation data, comparing algorithm predictions against ground truth, and documenting discrepancies. - Maintain Lab Equipment: - Keep data collection equipment organized, calibrated, and in good working condition. - Charge batteries, update firmware, troubleshoot equipment issues, and maintain test fixture inventory. - Document Procedures: - Create and maintain clear documentation for data collection procedures, test setups, labeling guidelines, and data organization standards. - Help train new team members. - Support Algorithm Team: - Respond to data requests from ML and algorithm engineers promptly. - Provide datasets with proper documentation and explain data collection conditions and potential data quality issues. Qualifications Required: - Hardware testing basics, lab technician experience, or similar hands-on technical background - High school diploma required; Bachelor's degree in a technical field preferred - Strong attention to detail and systematic, methodical approach to work - Comfortable with computers, learning new software tools, and working with data files - Ability to follow detailed procedures accurately and consistently - Good organizational skills and ability to maintain structured datasets - Interest in data, sensors, machine learning, and technology (Note: No additional details of the company were mentioned in the job description.),