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Join 42dot as a Telematics Software Engineer and contribute to the development of innovative telematics solutions. In this role, you will collaborate with cross-functional teams to design, implement, and optimize software for vehicle telematics systems.
42dot is a leading innovator in the telematics space, focused on developing advanced solutions that enhance vehicle connectivity and efficiency. Our commitment to cutting-edge technology and sustainability drives our mission to revolutionize the automotive industry.
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Join Our Innovative TeamAbout UsAt 42dot, our Gleo Interactor team is dedicated to transforming user experiences in Software-Defined Vehicles (SDV) through cutting-edge On-Device Agent Orchestration technology. Our goal is to realize Calm Technology, where Ambient AI leverages Generative AI (LLM) and Personal Context to understand user behavior and deliver r…
Join our innovative team at 42dot as a Senior Backend Engineer, where you will play a pivotal role in the development of our cutting-edge Agentic AI Platform. In this position, you will leverage your expertise in backend technologies to create scalable solutions that enhance our AI capabilities.
Join Our Team of Innovators!About 42dotAt 42dot, our Gleo Core team is dedicated to advancing the core technologies of LLM and Agent systems applied in Gleo AI. Gleo is designed to facilitate natural and friendly conversations within vehicles, accurately processing user requests while offering a personalized experience through memory. We are on the lookout for an AI Engineer who will help develop new features driven by LLM and enhance the quality and efficiency of our services.Key ResponsibilitiesDesigning and developing core modules for LLM-based multi-agent systems (Planning, Function Calling, Memory, etc.)Analyzing service requirements and implementing Agents accordinglyTraining and optimizing post-training LLMs for service applicationsTraining embedding models for conversation/document data retrievalRequired QualificationsMaster's or PhD in LLM/NLP fieldPublication of at least one paper in leading journals/conferences in LLM/NLPProven programming skills to solve complex problems (Python etc.)Experience in training deep learning models on GPU (PyTorch, TensorFlow, etc.)Familiarity with Git-based collaboration processes for efficient version control and code reviewsSkills in Prompt/Context EngineeringPreferred QualificationsExperience in developing and operating commercial AI servicesExpertise in AI service cost optimizationUnderstanding of and experience with infrastructure and backend systemsInterest and experience in conversational AI services with insightsProficiency in multiple languages, including Korean, English, French, Spanish, etc.Proven ability to define problems and propose proactive solutionsExperience leading or mentoring small teamsEnjoys collaboration with colleagues from diverse backgrounds and perspectivesInterview ProcessApplication screening - Coding test - Video interview (approximately 1 hour) - In-person or video interview (approximately 3 hours) - Final selectionThe process may vary by role and is subject to change based on scheduling and circumstances.Interview schedules and outcomes will be communicated via the email you provided in your application.Additional InformationPlease refrain from including personal information such as ID numbers, family relations, marital status, salary, photographs, physical conditions, or hometown in your resume as per employment regulations.All submitted files should be in PDF format and under 30MB.
42dot
Join Our Innovative Team!As an AI Fusion Engineer at 42dot, you will play a crucial role in developing advanced perception systems for autonomous driving. Your primary responsibility will be to integrate various cognitive results generated from autonomous driving perception systems on an object-by-object basis. This involves estimating consistent and reliable states such as the position, speed, classification, and existence of objects surrounding the vehicle.The fusion process goes beyond mere sensor integration; it entails combining cognitive results from the same sensor/multi-camera/multiple AI models/different representations (e.g., 2D, 3D) into a single interpretation using perception-level and AI-result-level fusion. You will be responsible for everything from algorithm design to real-time implementation in C++ and performance optimization.Key ResponsibilitiesDesign and implement object-level fusion and tracking logic using cognitive results from identical or diverse sensors (e.g., single/multiple cameras, camera-radar).Develop fusion logic to integrate various cognitive results on an object basis (e.g., combining 2D/3D results, multi-camera integration, camera-radar fusion).Manage object associations, track management, and lifecycle management.Ensure consistent state estimations regarding object position, speed, classification, and presence.Uncertainty-aware FusionDesign fusion strategies that consider uncertainty and confidence based on sensor and AI model characteristics.Resolve inconsistencies between cognitive results with different representations and observation points.Enhance fusion logic to reduce duplicate objects and false positives/negatives.Real-time Implementation and Performance OptimizationImplement real-time fusion/tracking algorithms based on C++.Optimize performance considering latency, CPU usage, and memory footprint.Adjust trade-offs between accuracy and responsiveness under real-time constraints.Performance Evaluation and ToolingDefine metrics to evaluate object fusion and tracking performance.Conduct performance analysis based on large-scale logs and scenario-specific validations.Establish an automated performance evaluation and regression testing environment.
Join Our Team of InnovatorsAt 42dot, we are at the forefront of autonomous driving technology, and we are seeking a Senior Physical AI Engineer to join our dynamic team. Our mission is to develop cutting-edge solutions that enhance Motion Planning algorithms, ensuring the safety and reliability of autonomous systems. As a part of our team, you will leverage extensive datasets to analyze driving patterns, enabling us to create algorithms that provide smooth and intuitive vehicle control. Together, we will push the boundaries of what is possible in autonomous driving.Key ResponsibilitiesLead the design and implementation of sophisticated machine learning models tailored for autonomous driving, focusing on perception, decision-making, and control mechanisms.Manage the complete machine learning pipeline, overseeing data collection, preprocessing, model training, optimization, and deployment.Utilize advanced deep learning techniques, including reinforcement learning, imitation learning, and self-supervised learning, to enhance the performance of autonomous systems.Fine-tune model performance to operate effectively under real-world driving scenarios, ensuring flawless integration with vehicle software architectures.Work collaboratively with interdisciplinary teams encompassing software, hardware, and vehicle control to align machine learning systems with vehicle frameworks.Provide mentorship to junior engineers, fostering best practices in machine learning development.Stay abreast of the latest advancements in machine learning and autonomous driving, contributing innovative ideas to the team.
Join Our Innovative Team!At 42dot, we are on the lookout for an exceptional AI Infrastructure Engineer to oversee our cutting-edge AI infrastructure. You will manage a high-performance setup that orchestrates thousands of GPUs across various data centers, ensuring our computing environment remains world-class through effective scaling, monitoring, and operational optimization.
Join Our Dynamic TeamAt 42dot, we are on the lookout for a talented Senior AI Data Pipeline Engineer to design, develop, and enhance our global data pipelines. You will play a crucial role in managing and processing data collected from around the world, ensuring that our high-throughput systems reliably deliver petabyte-scale data to our vast GPU infrastructure, thereby powering essential AI workloads.As part of our team, you will have the opportunity to architect scalable solutions that support diverse AI and machine learning projects, while collaborating closely with AI researchers and platform teams to ensure efficient data flow into training and evaluation pipelines.
Join Our Innovative Team!At 42dot, we are at the forefront of developing an AI Assistant App that enhances the driving experience by minimizing unnecessary interactions and allowing for secure, voice-controlled vehicle management. Our team is dedicated to creating intuitive solutions powered by Large Language Models (LLM), delivering only the most relevant information to drivers while ensuring they can access smart services effortlessly through voice commands.We continually research and develop personalized services that adapt to the user's context within the vehicle's infotainment (IVI) environment, leveraging both vehicle and driver data to provide a smarter voice experience.Key ResponsibilitiesDevelop Android applications tailored for vehicles, utilizing cutting-edge AI SDKs including voice recognition and synthesis.Customize user experience (UX) and HMI integration in alignment with Google Automotive Services (GAS) and AAOS specifications.Integrate vehicle control features (e.g., air conditioning, windows, seats) through the AAOS Vehicle API.Create services that interface with existing IVI applications for navigation, telephony, and radio.Design and develop interfaces for LLM-based third-party application integration.QualificationsA minimum of 3 years experience in Android application development (including graduate studies).Strong understanding of the Android platform with proficiency in Java or Kotlin.Proficient in at least one of the following languages: Java, Kotlin, or C++.Preferred QualificationsExperience in developing vehicle infotainment (IVI) or connected vehicle services.Knowledge of AAOS (Android Automotive OS) or AOSP (Android Open Source Project) development.Experience utilizing modern architectures and communication technologies such as MVVM, RxJava, gRPC, and RESTful APIs.Proven track record of enhancing app performance and user experience based on user feedback.A collaborative spirit with a passion for sharing technical knowledge and learning new technologies.Portfolio submission (e.g., GitHub contributions) is a plus.Interview ProcessApplication review - Coding test - Video interview (approx. 1 hour) - In-person or video interview (approx. 3 hours) - Final selection.Process may vary by position and is subject to change based on scheduling and circumstances.Interview schedules and outcomes will be communicated via the email provided in your application.Additional InformationPlease exclude sensitive information such as personal ID numbers, family relations, marital status, salary history, photos, physical characteristics, and place of origin from your resume submission.All submitted files should be in PDF format and under 30MB. If you encounter issues uploading your resume, please send it to recruit@42dot.ai along with the position URL.Post-interview, reference checks may be conducted with your consent.
Join Our Innovative Team!At 42dot, we strive to resolve mobility challenges through cutting-edge software and AI technologies. As a key player within the Hyundai Motor Group's Global Software Center, we are pioneering the development of software-defined vehicles, laying the groundwork for the future of mobility.Our commitment to safety is paramount as we develop user-centric software-defined vehicle technologies. These technologies enable continuous updates, delivering the latest performance akin to smartphone advancements. By advancing software and AI, 42dot envisions a world where urban transportation operates autonomously and seamlessly connects all aspects of mobility.
Autonomous Driving EngineeringAt 42dot, we are pioneering the development of camera-based, end-to-end autonomous driving software and high-performance, low-power embedded systems. We've established an advanced MLOps infrastructure that automates our data pipelines, enabling rapid iterations from AI model training to real-world validation. Our autonomous driving technology, 'Atria AI', is set to be implemented in mass-produced vehicles with Level 2+ autonomy by the end of 2027.Join us for a unique opportunity to engage with camera-based end-to-end autonomous driving and Physical AI, contributing to next-generation algorithms based on VLA. We are looking for tenacious and proactive individuals ready to change the world!Role OverviewThis position is for a full-time transition internship (MS/PhD), focusing on connecting research outcomes to practical autonomous driving systems through hands-on development and research.During the internship, you will not just assist but actively engage in product development aimed at mass production. You will work within a cutting-edge research team, defining and solving problems using real vehicle data, production-level code, and MLOps systems. You will undertake technical challenges equivalent to full-time engineers, gaining invaluable experience linking research with practical implementations.What You'll DoDesign, implement, and validate core technologies for autonomous driving systems end-to-end.Develop and validate algorithms/models based on real vehicle data.Analyze and enhance performance through simulations and real-world experiments.Implement research findings into practical systems.Collaborate closely with production teams to solve real-world challenges.Available TracksYour role and department will be determined based on your expertise, research interests, and career aspirations assessed during the internship and interview process.[Physical AI]Implementation and experimentation of perception and behavior prediction ML models for autonomous driving.Preprocessing driving data and organizing/analyzing training datasets.Evaluation of model performance and analysis of experimental results.Consolidation of failure cases and experimentation for performance enhancement.[Sensor Fusion]Implementation of object-level fusion and tracking using results from cameras and other sensors.Performance analysis and log analysis based on real vehicle data.Understanding and improving fusion logic structures in C++ based real-time systems.[SLAM]Research and development of SLAM and localization algorithms for autonomous driving.Basic location estimation and map creation using sensor data from cameras and IMUs.Accuracy and stability analysis based on real or simulated data.[AI Infrastructure]Development of AI infrastructure to support autonomous driving systems.
Join Our Team of Innovators!About UsAt 42dot, we are dedicated to tackling mobility challenges through cutting-edge software and artificial intelligence. As a part of the Hyundai Motor Group's global software center, we lead the way in the development of software-defined vehicles, paving the path for future mobility solutions.Our commitment to safety and user-centric software technology drives us to deliver the latest performance enhancements through continuous updates, akin to smartphone advancements. By advancing software and AI technologies, 42dot envisions a new world with connected and autonomously operated urban traffic management systems.Key ResponsibilitiesDevelop specifications and features for Connected Car Service (CCS) systems for 42dot controllers and legacy ECUs, focusing on OTA, diagnostics, and vehicle data collection functionalities.Create software middleware and application development for CCS, including MCU-based device drivers and Hardware Abstraction Layer (HAL) development.Design and implement OTA and diagnostic integration features across heterogeneous networks.Develop protocols and software for internal vehicle data collection and server uploads.Required QualificationsProven experience in embedded software development projects.Experience in developing vehicle diagnostic communication systems using UDS protocol.Deep understanding and project experience with OTA and diagnostic protocols.Strong knowledge of RTOS or Linux systems.Preferred QualificationsExperience in developing software for HKMC integrated communication controllers (CCU).Familiarity with developing CCU standard specifications (functional/system/diagnostic specifications) and deploying CCU across various vehicle models.Experience with diagnostic stack development in AUTOSAR or Linux systems.Interview ProcessApplication review - Coding test - Video interview (approximately 1 hour) - In-person or video interview (approximately 3 hours) - Final selection.The selection process may vary by role and is subject to change based on scheduling and circumstances.Interview schedules and results will be communicated individually via the email registered in your application.Additional InformationPlease refrain from including personal information such as social security numbers, family relations, marital status, salary, photos, physical conditions, or place of origin, as it is prohibited by recruitment regulations.All submitted files should be in PDF format and not exceed 30MB. If you encounter issues uploading your resume, please send it to recruit@42dot.ai along with the URL of the position you are applying for.Reference checks may be conducted with the candidate's consent after the interview process.Veterans and individuals eligible for employment protection will be given preference in accordance with relevant laws.Individuals with registered disabilities will also be prioritized under the Act on the Promotion of Employment for Persons with Disabilities.42dot does not accept unsolicited applications from recruitment agencies.
42dot, part of Hyundai Motor Group, develops software and artificial intelligence to address transportation challenges. The team focuses on building software-defined vehicles and advancing mobility solutions. The data analytics group at 42dot works with vehicle and user data, creating feedback loops that help improve user experience and services over time. Role overview This Senior Data Engineer position is based at the Software Dream Center in Pangyo, South Korea. The role centers on designing, building, and managing large-scale data systems that support vehicle and mobility applications. Main responsibilities Design and oversee large-scale vehicle data collection and processing pipelines. Architect and optimize both batch and streaming data systems for improved performance. Develop and automate frameworks to manage data quality. Build and maintain observability frameworks for data platforms. Guide technical decisions and mentor junior engineers on the team. Collaborate with other teams to clarify and align on data requirements. Required qualifications Minimum 8 years of software development experience, including at least 3 years in data engineering roles. Direct experience designing and operating large-scale data pipelines (handling over 100 million records daily). Proven ability to design architectures for batch and streaming data processing. Skilled in building data pipelines using Python or JVM languages (Java, Scala, Kotlin). Strong background in data modeling and analysis with SQL. Experience managing data infrastructure in cloud or on-premises environments. Preferred qualifications Experience with Databricks or Apache Spark for large-scale data processing and performance tuning. Background in building real-time data pipelines using Kafka or similar technologies. Hands-on experience with OLAP databases such as ClickHouse. Familiarity with observability frameworks based on Grafana LGTM (Loki, Mimir, Tempo). Knowledge of data governance and automating data quality processes. Experience deploying and managing services on Kubernetes. Experience with pipeline orchestration tools like Airflow. Work experience in vehicle, mobility, or IoT data pipeline environments. Familiarity with AI coding agents (Claude Code, Cursor, Codex) to support development and automate workflows. Interview process Initial application review and a coding test. Video interview (approximately 1 hour). In-person or video interview (approximately 3 hours). Final acceptance. Steps may vary by role, and schedules can change depending on circumstances. Interview details and results are communicated individually via the email address provided in the application.
42dot, part of Hyundai Motor Group's global software center, works at the intersection of mobility and artificial intelligence. The company develops software-defined vehicle solutions, drawing on vehicle and user data to refine mobility experiences through continuous feedback. Role overview This Data Engineer position is based in Pangyo, South Korea, at the Software Dream Center. The role focuses on building and maintaining systems that collect, process, and monitor data from vehicles and related sources. Main responsibilities Develop and maintain data collection and processing pipelines. Manage data schemas and operate data catalogs. Implement logic for data quality validation and automate anomaly detection. Configure dashboards and manage monitoring metrics for pipelines. Implement and test data ingestion logic. Requirements At least 3 years of software development experience, including a minimum of 1 year in data engineering. Proficiency in data processing with Python or JVM languages (Java, Scala, or Kotlin). Experience writing SQL queries and working with databases. Familiarity with Git for collaboration and code review. Preferred qualifications Experience with Apache Spark or Databricks. Familiarity with OLAP databases such as ClickHouse. Background working with messaging services like Kafka or AWS (Kinesis, SQS). Experience using monitoring tools (Grafana, Prometheus, or Loki). Hands-on experience with Docker and Kubernetes. Project work related to vehicles, mobility, or IoT. Development experience with AI coding tools (Cursor, Claude Code, Codex, etc.). Interview process Application review, coding test, video interview (about 1 hour), in-person or video interview (about 3 hours), final offer. The process may vary by position, and schedules can change depending on circumstances. Interview details and results are sent to the email address provided in the application. Additional information Do not include personal information such as ID numbers, family relations, marital status, salary history, photographs, physical attributes, or birthplace in your resume. Submit all files in PDF format, each under 30MB. If upload issues occur, send your resume to recruit@42dot.ai and include the job posting URL. Reference checks may be conducted after interviews, with the candidate's consent.
Join Our Innovative TeamAbout UsAt 42dot, we are a pioneering mobility AI company dedicated to solving mobility challenges through software and AI. As part of the Hyundai Motor Group's Global Software Center, we lead the development of software-defined vehicles, shaping the future of mobility.Our commitment to safety and user-centric software-defined vehicle technologies ensures that we deliver the latest performance through continuous updates, similar to smartphones. By advancing software and AI technologies, we are envisioning a new world through a self-managing urban transportation operating system where everything is interconnected and autonomously navigated.Key ResponsibilitiesDesign and develop the backend for Connected Car Data Collection (CCDC).Create a policy-based vehicle data collection system.Develop an Over-The-Air (OTA) update management system.Design and develop APIs for vehicle data management, covering vehicle information, status, and metadata.Build a data catalog and preset management system.Integrate communication protocols between vehicles and the cloud.Implement domain models based on Hexagonal Architecture.QualificationsAt least 3 years of experience in developing web applications using Kotlin or Java with Spring Boot.Experience with RDBMS (PostgreSQL, MySQL, etc.) and query optimization.Proficiency in designing and developing RESTful APIs.Experience in collaborative coding and code reviews using Git.Familiarity with writing unit and integration tests.Preferred QualificationsExperience in IoT platform development, including device communication, OTA, and remote configuration management.Familiarity with architectural patterns such as Hexagonal Architecture, Clean Architecture, or Domain-Driven Design (DDD).Experience in developing Software-as-a-Service (SaaS) or Platform-as-a-Service (PaaS) solutions.Experience developing OpenAPIs with OAuth2-based authentication and authorization management.Experience with microservices architecture design and development.Experience in building and operating CI/CD pipelines.Interview ProcessApplication review - Video interview (approximately 1 hour) - In-person or video interview (approximately 3 hours) - Final selection.The process may vary by role, and schedule changes may occur.Details of the schedule and results will be communicated via the email provided in your application.Additional InformationPlease refrain from including sensitive information such as your resident registration number, family relations, marital status, salary, photo, physical conditions, or place of origin in your resume, as these are prohibited by recruitment regulations.All submitted files must be under 3MB.
Join Our Dynamic Team!At 42dot, our Open Platform Engineering team is at the forefront of managing a multitude of APIs, ensuring robust security and flexibility. We tackle complex technological challenges ranging from authentication and authorization systems to high-availability platform operations and API governance.Key ResponsibilitiesDevelop security policies and access control logic tailored to external traffic flows, with a solid understanding of API Gateway and service interconnectivity.Lead the design of backend architecture focusing on stability, security, and scalability while enhancing code quality.Design and implement authentication and authorization flows for users interacting with our APIs.QualificationsExperience with Tyk or similar API Gateways, including operation and customization.Understanding or experience in Identity & Access Management domains (authentication, authorization, user management, permission models).Familiarity with authentication and authorization standards such as OAuth 2.0 and OpenID Connect.Hands-on experience with API security, access control, and traffic management.Experience in designing and refactoring systems with a focus on stability, security, and scalability.Strong communication and collaboration skills with various stakeholders.Preferred QualificationsExperience in designing and operating high-performance, high-availability architectures for authentication and authorization systems.Experience designing authentication flows tailored for external partners or diverse client environments.Experience in designing and operating complex permission models such as RBAC and ABAC.Experience with security integration in cloud-native environments using Kubernetes, Istio, Envoy.Operational experience with enterprise security features like audit logging and policy-based access control.Experience in conducting PoCs for new technology adoption and improvements.Interview ProcessApplication screening - coding test - video interview (approx. 1 hour) - in-person or video interview (approx. 3 hours) - final acceptance.The process may vary based on the position and can change depending on scheduling and circumstances.Interview schedules and results will be communicated to the email provided in your application.Additional InformationPlease exclude personal information such as social security numbers, family relations, marital status, salary expectations, photos, physical conditions, and hometown from your resume as per hiring regulations.All submitted files should be in PDF format and under 30MB. If you encounter issues uploading your resume, please send it to recruit@42dot.ai along with the job position URL.After the interview process, a reference check may be conducted with your consent.Candidates who are veterans or belong to protected employment groups will be given preference in accordance with applicable laws.Candidates with a disability registration certificate will be given preference as per the law promoting employment and vocational rehabilitation of individuals with disabilities.
About the Role 42dot is looking for an Android Engineer focused on System UI to join the team in Pangyo (Software Dream Center), South Korea. This position centers on designing and building user interfaces for Android applications, with an emphasis on delivering a smooth and engaging experience. What You Will Do Design and develop user interfaces for Android apps, with a focus on System UI components. Work closely with teams from different disciplines to bring new features to life. Contribute to improving the usability and functionality of 42dot’s Android products.
42dot, part of Hyundai Motor Group's global software center, develops software-defined vehicle and mobility AI solutions. The team focuses on user-centric vehicle technologies that receive ongoing updates, aiming to create a connected and autonomous urban transportation system. Every project is guided by priorities of safety and innovation. Role overview This Senior Network Systems Software Engineer role is based at the Software Dream Center in Pangyo, South Korea. The position focuses on developing network systems software for embedded operating systems used in automotive environments. Day-to-day work combines hands-on engineering with technical problem-solving as part of a growing team. What you will do Build and optimize network functionalities for embedded OS platforms such as QNX, Linux, and RTOS, including network configuration tasks. Develop and manage drivers for Automotive Ethernet Switches, including porting, configuring, and optimizing Ethernet Switch SDKs for new hardware platforms. Troubleshoot and resolve Ethernet/IP communication issues within vehicle networks. Requirements 10 or more years of embedded software development experience using C or C++. Solid understanding of the OSI 7-layer model. Hands-on experience with L2 protocols, such as VLAN, ACL, Multicast, STP/RSTP, and gPTP. Expertise in Ethernet MAC/PHY interfaces. Deep knowledge of the TCP/IP stack. Basic familiarity with reading hardware schematics. Preferred qualifications Experience working with OPEN TC10 features. Implementation and validation of TSN standards (802.1AS, 802.1CB, 802.1Qbv/Qbu). Understanding of automotive security, including IPsec, MACsec, and IDS/IPS. Development experience related to 10BASE-T1S communication. Background working with Ethernet switches from Broadcom, Infineon, NXP, or RealTek. Interview process Application review Video interview (about 1 hour) In-person interview, including a live coding test (approximately 3 hours) Final acceptance The process may vary depending on the role and scheduling. All communication about interviews and results will be sent to the email address provided in the application. Additional information Do not include sensitive information such as national ID number, family relations, marital status, salary, photo, physical conditions, or place of origin in your resume, as required by recruitment law. Submit all documents in PDF format, under 30MB. If upload issues occur, email your resume to recruit@42dot.ai and include the job posting URL. Reference checks may be conducted after interviews, with your consent. Veterans and job protection candidates receive preference as required by law.
Join 42dot as a Telematics Software Engineer and contribute to the development of innovative telematics solutions. In this role, you will collaborate with cross-functional teams to design, implement, and optimize software for vehicle telematics systems.
Join Our Team of Innovators!At 42dot, we are seeking a talented IoT Software & Firmware Engineer to design, develop, and maintain software for a wide array of connected devices. This role encompasses everything from practical sensors and actuators to data communication, cloud technologies, and applications, requiring a keen understanding of the latest technological trends and the ability to develop innovative solutions.Key Responsibilities:Design and develop IoT system software utilizing various microcontrollers, sensors, actuators, and communication modules.Create and implement efficient communication systems for IoT devices.Process and analyze data collected from sensors to derive meaningful insights, storing it in the cloud as necessary.
42dot
Join 42dot as a QNX Expert Engineer and be a pivotal part of our innovative team in the heart of Pangyo, South Korea. We are seeking a highly skilled engineer with expertise in QNX to contribute to our cutting-edge projects, focusing on embedded systems and real-time applications.As a QNX Expert Engineer, you will collaborate with a dynamic team to design, develop, and optimize software solutions that meet our clients' needs. Your role will involve troubleshooting complex issues and implementing best practices to ensure the reliability and performance of our products.
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