Senior IVI OS Engineer - Mobile Integration

Join Our Dynamic Team!At 42dot, we are at the forefront of designing and manufacturing advanced electronic systems within a vibrant Agile development culture. We are seeking an exceptional Senior PCB Design Engineer to contribute expertise in high-speed interfaces, power design, and multilayer PCB design.Key Responsibilities:Design high-speed, multilayer PCB…

Join Our Team of InnovatorsAt 42dot, we are dedicated to designing and enhancing cloud-based infrastructure to ensure the reliable operation of global services. Our focus is on building a flexible and scalable platform utilizing Kubernetes and hybrid clouds, while prioritizing automation and monitoring to improve system reliability and operational efficiency.We seek an experienced engineer who goes beyond simple maintenance to enhance developer productivity, address root causes of incidents, and create superior infrastructure environments.

Join Our Team of ExpertsAbout 42dotAt 42dot, our Database Engineering team ensures the reliability and security of our databases, allowing for stable management and operations. We specialize in designing and tuning resilient database systems across multi-cloud environments, including RDS, NoSQL, GraphDB, and OLAPDB, while maintaining a focus on infrastructure, services, and security.Key ResponsibilitiesInstall and operate stable cloud-based database systems.Design and support database structures based on service requirements, infrastructure, and security regulations.Ensure compliance with security standards for sensitive data and manage database access and permissions.Develop automation capabilities to enhance effective database operation and management.QualificationsOver 7 years of experience operating RDBMS and MongoDB.Experience managing databases in both cloud and on-premises environments.Proven experience in designing and managing large-scale databases.Familiarity with GraphDB, including Neo4j.A passion for DBRE and a positive attitude towards tackling various new technologies.Preferred QualificationsDevelopment skills to create necessary tools (Python, Bash, Go, etc.).Experience operating various open-source systems and tools.Global database management experience.Experience with vector databases.Experience operating Clickhouse.Experience with Infrastructure as Code (IaC).Interview ProcessApplication Review - Coding Test - Video Interview (approximately 1 hour) - In-person or Video Interview (approximately 3 hours) - Final Offer.The interview process may vary by job role and is subject to change based on scheduling and circumstances.Interview schedules and results will be communicated via the email registered in your application.Additional InformationPlease exclude information such as your resident registration number, family relations, marital status, salary, photo, physical condition, and place of origin from your resume, as required by the recruitment procedure law.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.After completing the interview process, a reference check may be conducted with the candidate's consent.Candidates eligible for national veteran status and employment protection will be given preference according to relevant laws.Individuals with disabilities will be preferred in accordance with the Act on the Promotion of Employment and Vocational Rehabilitation of Persons with Disabilities.42dot does not accept unsolicited resumes from recruitment agencies, and we do not respond to unsolicited applications.

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 TeamAt 42dot, we are on a mission to revolutionize autonomous driving technology. Our AD Framework Software Engineers play a pivotal role in developing the key middleware systems that power autonomous vehicles. We focus on crafting real-time communication frameworks, execution systems, and essential libraries that facilitate data transformation and utility. Our commitment to excellence ensures that our software systems adhere to the highest standards of automotive reliability and safety from initial design through to deployment.Key ResponsibilitiesDesign and implement middleware software solutions that support critical safety features in autonomous driving systems.Exhibit a deep understanding of ADAS system architecture, middleware pipelines, and performance optimization techniques.Develop software for diverse and distributed systems operating on Linux and RTOS platforms (e.g., FreeRTOS); familiarity with both environments is advantageous.Utilize knowledge of ISO 26262 and related development standards to ensure compliance with automotive safety protocols.Create and maintain development tools to aid in debugging, testing, and validation processes.Participate in design and code reviews, contributing to technical evaluations, design discussions, and crucial decision-making processes.Engage throughout all stages of the software development lifecycle, including requirements analysis, system design, implementation, testing, code review, and deployment.Collaborate with application developers and cross-functional teams to ensure effective middleware integration.Work efficiently with remote teams across various countries and time zones.

Join our innovative team at 42dot as a Senior MCU System Project Engineer where you will lead cutting-edge projects in the field of microcontroller systems. This role offers a unique opportunity to work on advanced technology solutions that drive our missions forward.Your expertise will be pivotal in overseeing project development stages, from conception to execution, ensuring that we meet our ambitious goals while adhering to industry standards.

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'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 Our Dynamic TeamAt 42dot, we are seeking a talented Senior IVI System Engineer specializing in Connectivity to enhance our innovative IVI (In-Vehicle Infotainment) solutions. This role is pivotal in the development of System Software that ensures our diverse range of services operates seamlessly within the Android Automotive (OS) environment, contributing to the future of Software Defined Vehicles (SDV).Your expertise will cover critical areas from device drivers, HAL, and graphic/connectivity stacks to bootloaders, kernels, and hypervisors, directly influencing product quality in terms of performance, stability, and reliability.Develop a robust and optimized Connectivity stack for the Android Automotive-based IVI platform.Analyze and resolve system-level issues to ensure consistent service quality in vehicle environments.Implement development processes guided by quality standards and testing frameworks, considering mass production and validation environments.

Join 42dot as a Senior SLAM Engineer and play a pivotal role in revolutionizing autonomous driving technologies. You will be responsible for developing sophisticated algorithms that enable simultaneous localization and mapping (SLAM) for our cutting-edge autonomous vehicle systems.This position requires a blend of technical expertise and innovative thinking to tackle complex challenges in dynamic environments.

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.

Join Our Team of InnovatorsAt 42dot, we are at the forefront of autonomous driving technology, seeking exceptional Senior ML Platform Engineers to develop our core data and machine learning training platforms. Our team is dedicated to creating a distributed, scalable data platform that handles vast datasets, including millions of scenes, alongside high-performance data serving SDKs essential for ML model training and evaluation. Our platforms are designed to significantly enhance the efficiency of the ML model development lifecycle, which encompasses training, evaluation, deployment, and monitoring within a cloud environment.Key ResponsibilitiesDefine and implement the technical strategy for a robust, large-scale data platform that effectively manages, visualizes, and serves extensive datasets for machine learning model training and validation.Develop a comprehensive data lakehouse for autonomous driving scene datasets, integrating sensor, calibration, and annotation data.Lead the development of the Autonomous Driving Data SDK, which includes functionality for scene data searching, dataset preparation, and loading.Identify and resolve performance bottlenecks throughout data processing pipelines, focusing on data processing and search latencies as well as Test Procedure (TP) coverage.Establish and maintain the infrastructure for Data Platform components, including the Data Processing Pipeline, Database, Data Lakehouse, and Data Serving.Collaborate with cross-functional teams, including those focused on ML algorithms, applications, and Cloud Infrastructure, to ensure alignment of ML Platforms with the overarching Autonomous Driving System Architecture.QualificationsA Bachelor’s degree or higher in Computer Science, Engineering, Robotics, or a related technical field.At least 7 years of experience in Data Engineering or ML Platform roles.Expert-level proficiency in Python, with substantial experience in developing Python SDKs.Proficient experience with databases such as MongoDB and PostgreSQL.Deep understanding of modern AI frameworks like PyTorch and TensorFlow, particularly regarding distributed data loaders for model training.Hands-on experience orchestrating data pipelines using tools such as Databricks Workflows or Apache Airflow, along with integrating these pipelines with machine learning models.

Join Our Innovative Team!We are on the lookout for a talented Senior IVI OS Engineer specializing in camera systems to join our dynamic team at 42dot. In this role, you will be responsible for designing and optimizing critical features of our Android-based automotive camera systems. This includes managing the camera hardware interface, implementing remote video streaming, and developing camera-based applications tailored for automotive environments, ensuring the delivery of reliable and cutting-edge camera services.Key Responsibilities:Camera HAL and EVS HAL Integration: Develop and optimize Camera HAL (Camera3) and EVS HAL to ensure seamless hardware integration, customizing the Android HAL layer for specific purposes. Collaborate closely with app developers for compatibility with Camera2 API or EVS-based applications.Remote Camera Stream Integration: Work with system software engineers to process and handle camera streams received from remote devices, integrating them into the Android camera framework. Manage various real-time streaming protocols such as RTSP, RTCP, and WebRTC.Application Development: Utilize vehicle camera systems to create various applications, including Dash Cam (Black Box), which records and manages in-cabin driving footage, and Surround View systems that visualize 360° views around the vehicle while collaborating with UI/UX teams for high-performance implementations.

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 Innovative Team!At 42dot, we are seeking a talented Senior MCU System Engineer specializing in Cluster and Safety IC Control. In this pivotal role, you will develop high-performance MCU-based core system software for zonal controllers in Software-Defined Vehicles (SDV). Your mission will include reliably conveying critical driving information (such as speed and warning lights) and ensuring stable system operation in mission-critical scenarios.Key Responsibilities:Implement logic for processing and transmitting essential vehicle driving data (speed, RPM, Telltale) for the cluster display.Develop control drivers for Safety SBC/PMIC, managing registers and states via SPI/I2C communication.Manage the External Watchdog and implement Kick logic.Design and implement software safety mechanisms to achieve safety goals (in alignment with ASIL ratings).

Join Our Innovative Team!At 42dot, we are on a mission to revolutionize the autonomous driving landscape. We are seeking a talented Senior Mechanical Engineer to spearhead the design and development of high-performance controllers and sensors integral to our Self-Driving Vehicle (SDV) projects.Key Responsibilities:Lead the design, development, and fabrication of mechanical components.Ensure physical integration and compatibility among diverse system components.Collaborate with cross-functional teams to establish design requirements, constraints, and manufacturability.Draft and manage technical specifications and documentation for components and systems.Support prototype development and testing activities.Employ creative solutions to resolve challenges and streamline processes through efficient design.

Join Our Innovative TeamAs a Senior Radar System Engineer at 42dot, you will play a pivotal role in the production development of radar systems for autonomous vehicles and systems. This position encompasses everything from the development of radar system specifications to system integration and mass production. A profound understanding of radar technology, system integration, and automotive industry standards is essential.Key ResponsibilitiesImplement and validate the performance of radar systems for vehicles in mass production.Collaborate with hardware, software, and systems engineering teams for vehicle integration of radar systems.Conduct system-level design and performance analysis, troubleshooting issues as they arise.Draft and maintain technical documentation including specifications, design documents, and test plans.Develop radar mounting and interface solutions within vehicles, considering power, communication, and environmental factors.Ensure compliance with automotive industry standards and regulations (ISO 26262, AUTOSAR, UNECE, etc.).QualificationsBachelor's or Master’s degree in Electrical Engineering, Computer Science, or a related field.Over 5 years of experience in relevant fields.Strong understanding of radar technology.Familiarity with development and production specifications (Automotive Ethernet / CAN communication, UDS, DoIP, AutoSAR, EOL, ES / MS).Experience in radar system design and integration.Knowledge of automotive standards and protocols (ISO 26262, AUTOSAR, etc.).Proven problem-solving skills with the ability to analyze and resolve complex issues.Excellent communication skills and ability to work collaboratively in a team environment.Preferred QualificationsExperience in radar development and mass production.Experience with Advanced Driver Assistance Systems (ADAS) and autonomous driving technology in mass production.Team leadership or project management experience.Understanding of automotive quality standards (IATF 16949, etc.).Proficient in simulation and analysis tools (MATLAB, Python, C, C++, etc.).Business proficiency in English.Interview ProcessApplication review - Video Interview (approximately 1 hour) - In-person or Video Interview (approximately 3 hours) - Final Offer.The interview process may vary by position and is subject to change based on scheduling and circumstances.Interview schedules and results will be communicated individually to the email address provided in your application.Additional InformationPlease refrain from including personal information such as ID numbers, family relations, marital status, salary, photographs, physical conditions, or place of origin in your resume as per recruitment guidelines.All submitted files should be in PDF format and under 30MB. If you experience issues during the resume upload process, please send your resume along with the URL of the position you are applying for to recruit@42dot.ai.

42dot is hiring a Senior MCU System Engineer for its Pangyo (Software Dream Center) location in South Korea. This position centers on designing and developing MCU-based high-performance and zonal controllers for Software-Defined Vehicles. The work involves optimizing mission-critical systems, building hardware abstraction layers, and shaping core system platforms. What you will do Develop MCU-based bootloaders, device drivers, and hardware abstraction layers (HAL). Design and implement redundant systems to support fault tolerance in vehicle systems. Create scalable system designs with a strong foundation in hardware knowledge. Develop abstraction layers for vehicle systems and collaborate with various domain systems for integrated control. Requirements Hands-on experience in embedded software development projects. Background in developing vehicle communication systems using CAN/CAN FD, LIN, and Ethernet. Experience with MCU communication interfaces such as SPI, I2C, and UART, including high-speed data transmission. Experience designing control software for vehicles that meets ISO26262 standards. Understanding of real-time operating systems (RTOS) and microcontroller units (MCUs). Preferred qualifications Project experience with a variety of real-time operating systems, both open-source and proprietary. Background in developing MCU-based bootloaders. Production experience with body, chassis, powertrain, IVI, or cluster systems at OEMs or Tier 1 suppliers. Experience developing controllers for vehicle motors (such as BLDC or PMSM) and working with motor control algorithms. Development of middleware based on RTPS (Real-Time Publish-Subscribe) in embedded environments (such as DDS, MQTT, Zenoh). Interview process Application screening, followed by an in-person interview (about 1 hour), then a second in-person interview with a live coding test (about 3 hours), and final selection. The process may change depending on the role, scheduling, or other circumstances. Interview schedules and results are communicated individually by email using the address provided in the application. Additional information Do not include information prohibited by the Fair Hiring Act in your resume, such as social security numbers, family relations, marital status, salary history, photographs, physical condition, or place of origin. Submit all files in PDF format, each under 30MB. If there are issues uploading, email your resume and the position URL to recruit@42dot.ai. Reference checks may be conducted after the interview process, with the applicant's consent.

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.