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Experience Level
Senior
Qualifications
Required QualificationsMaster's or Ph. D. in Computer Science, Machine Learning, AI, Robotics, or a related discipline. Proven experience with deep learning algorithms (CNN, RNN, Transformer) and their applications in autonomous systems. Strong expertise in Python and popular machine learning frameworks (TensorFlow, PyTorch), with a successful history of deploying models in practical environments. In-depth knowledge of reinforcement learning, imitation learning, and advanced optimization techniques. Experience handling large-scale datasets and managing cloud-based machine learning workflows. Excellent communication skills and a passion for mentoring others in the field.
About the job
Join Our Team of Innovators
At 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 Responsibilities
Lead 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.
About 42dot
42dot is a pioneering technology company focused on transforming the landscape of autonomous driving through advanced AI solutions. Our team is dedicated to developing innovative algorithms that enhance vehicle safety and performance, making a significant impact on the future of mobility.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
Join Our Team of Innovators42dot is in search of a talented Senior Control System Engineer to tackle complex challenges in the autonomous driving sector. In this role, you will develop advanced control systems, collaborating closely with experts in motion planning, functional safety, hardware engineering, and related fields to deliver robust and reliable aut…
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
Join Our Innovative TeamAt 42dot, we are at the forefront of autonomous driving technology. Our Machine Learning (ML) Platform Engineers are instrumental in developing a robust data platform and machine learning training and evaluation systems that support advanced algorithms for autonomous driving. We focus on creating a scalable, distributed system capable of handling vast datasets, comprising millions of scenes, while also delivering high-performance SDKs for ML model training and evaluation. Our platforms significantly enhance the ML model development lifecycle, covering training, evaluation, deployment, and monitoring within cloud environments.Key ResponsibilitiesDesign and develop a highly scalable and reliable data platform to effectively manage, visualize, search, and serve extensive datasets for ML model training, fine-tuning, and validation.Create advanced autonomous driving data SDK functionalities, including scene data search, dataset preparation, and dataset loading.Establish a data lakehouse for autonomous driving scene datasets, integrating sensor data, calibration data, and annotation data.Identify and resolve performance bottlenecks across data processing pipelines, addressing data processing latency, search latency, and Test Procedure (TP) coverage.Set up and maintain infrastructure components for the data platform, including data processing pipelines, databases, data lakehouses, and data serving mechanisms.Work collaboratively with cross-functional teams, including ML algorithm, ML application, and Cloud Infrastructure teams, to ensure alignment of ML platforms with the overall architecture of the autonomous driving system.QualificationsA Bachelor's degree or higher in Computer Science, Engineering, Robotics, or a related technical discipline.A minimum of 5 years of experience in Data Engineering or ML Platform roles.Proficiency in Python with substantial experience in Python SDK development.Solid experience with databases such as MongoDB and PostgreSQL.Hands-on experience orchestrating data pipeline jobs using Databricks Workflows or Apache Airflow, along with integrating data pipelines with machine learning models.Extensive knowledge of data technologies and architectures, including Data Warehouses (e.g., Hive) and Lakehouses (e.g., Delta Lake).Experience with Apache Spark or other big data computing engines.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
Join 42dot, a pioneering leader in autonomous driving solutions, as a Test Engineer. In this role, you will be responsible for designing, implementing, and executing test plans to ensure optimal performance and safety of our autonomous driving systems. You will collaborate with cross-functional teams to develop innovative testing methodologies and improve product quality.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
Join Our Team of InnovatorsAt 42dot, we are searching for a highly skilled Perception Team Lead to take charge of the core perception technologies essential for autonomous vehicles. You will leverage advanced computer vision and machine learning techniques to interpret visual data from various sensors, including cameras and LiDAR, to design and implement an autonomous perception system that achieves human-level reliability and scalability.This position not only defines the technological direction and roadmap but also involves hands-on leadership in developing core perception algorithms and systems. As a technical leader, you will be responsible for ensuring the technical excellence of the team and mentoring team members to foster their growth.About 42dot42dot is 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 are at the forefront of developing software-defined vehicles and shaping the future of mobility.We prioritize safety and develop user-centric software-defined vehicle technologies that provide continuous updates for optimal performance, akin to a smartphone experience. By advancing software and AI technologies, 42dot envisions a new world through an autonomously managed urban traffic operation system where everything is interconnected and moves autonomously.Key Responsibilities1. Technical and Architectural Leadership- Establish and guide the technical roadmap for perception/computer vision technologies for autonomous driving- Actively participate in the design, validation, and enhancement of algorithms based on 3D computer vision and machine learning- Design scalable and robust perception system architectures considering large datasets and real-world environments- Lead the transition from research to production for applying research findings to actual products/platforms- Drive technical decision-making and problem-solving for performance, latency, and stability issues.2. Core Technology Areas- Object detection, pose estimation, tracking, and motion understanding- Multi-sensor perception (Camera, LiDAR, Radar, GPS, IMU, etc.)- Efficient and scalable vision systems for real-time autonomous driving- Vision-based robotics and physics-based/low-level vision approaches- Algorithm and system optimization considering performance, latency, and stability3. Team and Project Leadership- Lead technical decision-making and reviews for core code, algorithms, and research within the perception team- Mentor team members to support their technical growth- Collaborate closely with related teams in product, systems, robotics, and vehicle platforms- Manage project schedules, priorities, and identify as well as resolve risks.QualificationsMinimum 8 years of relevant industry experience or equivalent research/development experience (PhD preferred)Deep theoretical understanding and practical application experience in computer vision and machine learningProficient programming skills in large codebases (C/C++, Python, etc.)Leadership and communication skills to structure complex problems and make technical decisionsPreferred QualificationsExperience leading Perception/AI systems in autonomous driving or roboticsExperience in developing multi-sensor based perception systems (Camera, LiDAR, Radar, GPS, IMU, etc.)Experience with real-time systems, parallel programming, and performance optimizationDevelopment experience related to VR/AR or 3D graphics/simulation; publication, patents, open-source contributions, or academic activity history (CVPR, ICCV, ECCV, IJCV, TPAMI, TIP, etc.)Interview ProcessInitial phone screening followed by technical interviews and team fit discussions.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
Join Our Innovative Team!At 42dot, we are seeking a talented Senior Camera System Software Engineer to play a pivotal role in enhancing autonomous driving and infotainment systems through advanced embedded camera technology. You will be responsible for developing drivers and optimizing performance to bring our cutting-edge solutions to life.Key Responsibilities:Develop and bring up camera drivers on embedded Linux platforms.Configure and bring up external ISPs for camera systems.Implement video/image pre-processing for camera vision applications.Analyze and optimize utilization of CPU, ISP, and memory I/O.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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).
Full-time|On-site|Pangyo (Software Dream Center), South Korea
Join Our Innovative TeamAt 42dot, we are seeking a talented Camera System Hardware Engineer to lead the development of camera specifications and oversee the entire lifecycle from conception to mass production within our autonomous driving platform. This role is pivotal in defining image sensor specifications, establishing camera hardware interfaces, configuring ISP settings, ensuring image quality, and validating the reliability and stability of the camera systems. As a key engineer, you will support the precision and safety of autonomous driving functionalities.Key ResponsibilitiesDefine hardware development requirements for cameras used in autonomous driving and driver monitoring systems.Conduct hardware design reviews and oversee all stages of camera development.Implement SerDes settings and ISP bring-up for various use cases in autonomous driving and driver monitoring systems.Analyze and debug camera issues in test vehicles.Develop camera modules and related systems.Design multi-camera system architectures for our autonomous driving platform.Ensure synchronization of multiple camera systems.Design camera hardware elements such as CIS, ISP, SerDes, Lens, and IRED.Analyze and understand signal integrity for high-speed interface.Understand MIPI standards and related video standards, including stream packet analysis.QualificationsBachelor's degree in Electronics Engineering or equivalent experience.Strong analytical skills for system-level issues, including latency, bandwidth, and power consumption.Basic knowledge of camera system hardware interfaces is preferred.Over 10 years of hands-on experience in camera system engineering.Experience in developing ADAS, DVRS, or DMS camera modules and systems.Technical expertise in camera systems for mass production development.Understanding of fundamental concepts in image processing.Familiarity with functional safety concepts.Collaborative mindset with excellent interpersonal communication skills.Interview ProcessApplication screening - Video interview (approx. 1 hour) - In-person or video interview (approx. 3 hours) - Final selection.The interview process may vary by position and is subject to change based on schedule and circumstances.Interview schedules and results will be communicated individually via the email registered in the application.Additional InformationPlease exclude personal information such as your resident registration number, family relations, marital status, salary, photo, physical condition, and place of origin from your resume as per hiring regulations.All submitted files must be in PDF format and under 30MB. If you encounter issues uploading your resume, please send it along with the URL of the position you are applying for to recruit@42dot.ai.After the interview process, reference checks may be conducted with the applicant's consent.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
