Senior Data Engineer at 42dot | Pangyo, South Korea

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. R…

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 team at 42dot, where we are at the forefront of integrating Artificial Intelligence with physical systems. We are looking for talented individuals to build a talent pool for our VLA (Vehicle Level Automation) projects. This is an exciting opportunity to contribute to groundbreaking advancements in the AI field.

Join Our Innovative Team!As an LLM Engineer specializing in Reinforcement Learning at 42dot, you will design and implement advanced learning pipelines to develop generative language models for real-world applications. You will continuously experiment with novel methodologies to enhance service quality, ensuring that our language models not only meet user needs but also autonomously improve their performance.Key ResponsibilitiesOptimize the efficiency of the LLM training process using algorithms such as Direct Alignment, PPO, GRPO, and DPO.Enhance the accuracy and stability of generated outputs by designing learning structures that prevent reward hacking and facilitate self-refinement.Develop foundational models that integrate seamlessly with external knowledge and APIs, enabling the LLM to autonomously select necessary tools based on the type of instructions.

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 Innovative TeamAt 42dot, we are seeking a talented and driven MCU Application Engineer to contribute to the development of high-performance MCU-based zonal controllers. In this role, you will design and develop functionalities to operate various vehicle sensors and actuators, facilitating coordinated control with other ECUs and providing standardized APIs for Software-Defined Vehicles (SDV).Key ResponsibilitiesDevelop Vehicle Hardware Abstraction Layer (HAL) based on SDV architecture.Design and implement control logic and diagnostic functions for MCU-based systems.Create cooperative control functionalities utilizing communication protocols such as CAN, LIN, and Ethernet.Control sensors and actuators through interfaces like ADC, PWM, SPI, UART, and I2C.Develop a diagnostic framework based on UDS and SOVD, along with in-house diagnostic applications for controllers.Required QualificationsProven experience in embedded software development projects.Experience in developing vehicle communication systems based on CAN/CAN FD, LIN, and Ethernet.Familiarity with ISO26262-compliant automotive control software design.Deep understanding of Real-Time Operating Systems and MCUs.Preferred QualificationsExperience in developing projects based on various real-time operating systems (open source or proprietary).Production experience with body, chassis, powertrain, IVI, and cluster controllers at OEMs or Tier 1 suppliers.Experience in developing motor control logic for applications such as power trunks and power windows.Familiarity with next-generation diagnostic protocols (SOVD, DoIP, gRPC) and cloud-linked diagnostic systems.

Join Our Innovative TeamWe are seeking a talented Embedded Hardware Engineer to contribute to the design and development of controllers and sensors for autonomous driving at 42dot. Our autonomous driving controllers integrate various sensors such as radar, GPS, IMU, and USS, utilizing high-performance processors and iNPU to enable safe and efficient driving through advanced perception, decision-making, and control capabilities. In this role, you will design complex hardware systems that meet performance, cost, reliability, and safety objectives.Key Responsibilities:Designing SOC/AP Application circuits.Creating power application circuits including DCDC and LDO.Implementing interface applications like CAN, LIN, and Auto Ethernet.Conducting automotive reliability and electromagnetic tests, followed by improvements.Performing compliance testing and enhancements.Bringing up hardware systems.Validating and refining hardware in real vehicle tests.Supporting development and production sample creation while addressing requirements.

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 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 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.

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.

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.

Join Our Innovative Team!At 42dot, we are dedicated to creating cutting-edge software that delivers a safe and comfortable autonomous driving experience for users. You will collaborate with a diverse team of SDV experts to implement various features aimed at optimizing user experiences in autonomous driving and deploying them in vehicles.Key ResponsibilitiesDevelop and implement software features related to autonomous driving to enhance user experience.Monitor vehicle status to ensure a safe driving experience.Integrate software within vehicles and contribute to overall software quality improvement.Collaborate with various teams to ensure feature interoperability.Profile and optimize software performance on embedded systems, including accelerators.

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 Cutting-Edge Team!At 42dot, we are on the forefront of innovation in autonomous driving technology. We are currently seeking a talented Simulation Engineer to enhance our Autonomous Driving division. In this pivotal role, you will be instrumental in designing and upholding advanced simulation environments that rigorously test and validate the efficacy of our autonomous systems. Collaborating closely with diverse teams, you'll ensure that our simulation tools are robust, scalable, and precise.Your Responsibilities Will Include:Creating and sustaining high-fidelity simulation environments for autonomous driving algorithms and software testing.Integrating realistic vehicle, sensor, and environmental models within our simulation framework.Designing and conducting simulation experiments to validate the performance of perception, planning, and control algorithms.Working alongside software engineers, robotics specialists, and data scientists to incorporate simulation tools into our development processes.Analyzing simulation outcomes and delivering actionable insights to enhance the performance and reliability of our autonomous driving systems.Keeping abreast of the latest simulation technology advancements and integrating them into our processes.

Join our dynamic team at 42dot as a Senior Linux System Software Engineer. In this pivotal role, you will leverage your expertise in Linux systems to design, develop, and optimize software solutions that drive our innovative projects. Your contributions will be essential in shaping the technology landscape of our organization.

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 artwork and layouts based on schematics.Optimize designs considering signal integrity (SI), power integrity (PI), and electromagnetic interference (EMI).Collaborate with mechanical design and hardware development teams on design for manufacturability (DFM) and structural integration reviews.Apply design constraints using Cadence Allegro and OrCAD ECAD tools.Generate manufacturing outputs including Gerber files, drill files, and bills of materials (BOM).Incorporate internal reviews and feedback to enhance designs.Manage design documentation and maintain quality standards.Ensure compliance with IPC standards and automotive OEM design requirements.

Join Our Team as a VLA EngineerAt 42dot, we are at the forefront of developing innovative multimodal driving models that enhance autonomous driving capabilities through a sophisticated integration of visual perception, scene context, and driving actions. Our mission is to revolutionize planning, decision-making, and action generation in real-world driving conditions utilizing VLA-style modeling techniques that incorporate prior knowledge for superior generalization.We emphasize production deployment and vehicle execution to ensure our solutions are effective and reliable.Your ResponsibilitiesDesign and implement VLA-based models tailored for autonomous driving, concentrating on planning, decision-making, and action generation.Utilize imitation learning, reinforcement learning, and generative modeling techniques to enhance driving behavior and facilitate long-term decision-making.Refine and adapt multimodal models (VLM/VLA architectures) for autonomous driving applications by leveraging extensive driving datasets.Define and assess multimodal representations for driving data, including video, bird's-eye view (BEV), maps, vehicle states, actions, and optional language annotations.Develop and maintain comprehensive end-to-end machine learning pipelines encompassing data curation, training, evaluation, and deployment stages.Test models in open-loop and closed-loop simulations, as well as real-vehicle environments, with a strong focus on safety and robustness.Work collaboratively with teams in perception, prediction, planning, control, and platform integration to embed machine learning models within production vehicle software systems.

Join Our Innovative TeamAt 42dot, we are on the cutting edge of autonomous driving technology. We are searching for a talented Control System Engineer to tackle challenging problems in the development of primitive control systems. You will collaborate with experts in motion planning, functional safety, hardware engineering, and other relevant fields to contribute to the creation of robust systems.Key ResponsibilitiesDesign, implement, and optimize longitudinal and lateral control systems for autonomous driving.Develop low-level control systems that translate high-level commands into precise actuator control for real-time autonomous driving tasks.Create estimation algorithms for critical vehicle parameters such as road slope, vehicle speed, and slip to enhance the accuracy and reliability of control systems.Work closely with engineers and teams focused on motion planning, behavior planning, and mission planning to ensure seamless system operation.

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.