AI Fusion Engineer

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 reliabl…

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 Team as an IVI OS Engineer (Network)At 42dot, we are on the lookout for exceptional talent to join our engineering team. As an IVI OS Engineer specializing in networking, you will play a crucial role in customizing and optimizing Ethernet, Wi-Fi, and telephony frameworks for Android-based devices. Your work will ensure reliable communication and control between vehicle systems via Ethernet.This position requires a deep understanding of network manipulation techniques, experience with HAL implementations, and a solid grasp of the networking architecture within Android Automotive OS.About Us42dot is a pioneering mobility AI company dedicated to solving mobility challenges through innovative software and AI solutions. As part of the global software center of Hyundai Motor Group, we are at the forefront of developing software-defined vehicles and shaping the future of mobility.We prioritize safety and focus on user-centric technology, providing continuous updates for optimal performance, much like a smartphone. Through advancements in software and AI, 42dot envisions a new world with interconnected and autonomously operating urban transportation systems.Key ResponsibilitiesCustomizing and Optimizing Ethernet Framework: Tailor the Ethernet communication framework between Android devices and other vehicle systems for optimal performance and reliability.Network Manipulation and Tuning: Utilize various networking techniques such as packet filtering, routing tables, IP rules, VPN, and proxy settings to establish the best network environment within an Android-based context.Remote Radio/Wi-Fi HAL Integration: Implement and manage remote radio interface HAL and remote Wi-Fi HAL, ensuring stable operations through external modems or integrated wireless devices.Understanding Vehicle Network Stack: Provide optimal network paths by leveraging your knowledge of various network types supported by Android Automotive OS, including PANS, OEM networks, and standard internet networks.

Join Our Team of InnovatorsThe Vehicle System Integration Engineer will play a pivotal role in the continuous integration and validation of various systems within Software Defined Vehicles (SDV) at the vehicle level. This position involves meticulous tracking and management of vehicle issues that arise during integration processes and field tests, significantly enhancing the overall quality and reliability of vehicle systems.Key Responsibilities:Vehicle System Integration:Develop strategies for vehicle-level system integration.Analyze requirements and define/tracking system specifications.Create and execute system integration test cases, including test automation development.Validate system integration and report issues.Analyze and manage integration issues.Vehicle System Management:Enhance vehicle system configuration management processes.Establish and manage vehicle system deployment strategies.Monitor system status and manage issues throughout development phases.Conduct impact analysis and risk management on changes.Issue Management:Analyze vehicle system issues and perform troubleshooting.Manage traceability of vehicle system issues.Validate improvements for vehicle system issues.

Join Our Innovative TeamAt 42dot, we are on a mission to bridge the gap between app developers and users in the mobility ecosystem through our Pleos App Market and Playground. We are seeking a talented Backend Engineer to play a pivotal role in building and enhancing the ecosystem of our App Market and Playground.Key Responsibilities:Design and develop a scalable backend for the IVI App Market within a cloud environment.Architect and implement REST APIs to facilitate app integration with the IVI store.Develop systems to establish a third-party ecosystem in alignment with global expansion efforts.Design and implement various functionalities that validate high levels of automotive security.

Role Overview 42dot is hiring an Automotive Cybersecurity Compliance Engineer for its team in Pangyo (Software Dream Center), South Korea. This position focuses on making sure our automotive products align with strict cybersecurity standards. What You Will Do Work with teams across disciplines to identify and interpret cybersecurity compliance requirements. Help implement cybersecurity measures that keep automotive systems secure. Support the development of products designed to protect against new and evolving cyber threats. Impact Your work will help shape secure automotive systems and ensure they stand up to the latest cybersecurity challenges.

Join our innovative team at 42dot as a Quality Assurance Engineer focusing on HVAC and thermal systems. You will play a pivotal role in ensuring our products meet the highest standards of quality. Your contributions will directly impact our commitment to excellence and customer satisfaction.

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.

Join 42dot as a Security Engineer specializing in automotive security. In this role, you will be responsible for ensuring the integrity and security of vehicle systems and data. You will collaborate with cross-functional teams to develop robust security measures and respond to emerging threats in the automotive sector.

Join 42dot as an LLM Engineer, where you'll be at the forefront of training large language models. We are seeking a passionate individual eager to leverage cutting-edge technologies to enhance natural language understanding and machine learning applications.

Join Our Innovative Team!At 42dot, our Cyber Security Incident Response (CSIR) team is dedicated to ensuring the safety and security of our urban mobility services. We engage in comprehensive security activities that span from internal security measures to service-specific protections. As a Security Engineer focusing on Threat Analysis and Risk Assessment, you will conduct in-depth security analyses and risk evaluations across hardware, software, and network levels, specifically targeting vehicles and control units. Your expertise will also contribute to security assessments, including penetration tests.Key Responsibilities:Conduct penetration testing and vulnerability assessments on 42dot services.Execute simulated attacks and vulnerability checks at vehicle and control unit levels.Analyze security vulnerabilities in source code and provide actionable improvement guidelines.

Join Our Team of InnovatorsAs an Android Engineer (Services) at 42dot, you will play a pivotal role in developing on-device services based on the Android OS, focusing on delivering robust client services that seamlessly integrate with cloud-based functionalities. Our mission is to provide a scalable and reliable array of features specifically tailored for Android Automotive OS (AAOS).Develop specialized client services for vehicles that harness the synergy between on-device and cloud services.Create scalable SDKs accessible to a wide range of developers.Establish a standardized Android-based platform to enhance the future experience of vehicular services.

Join our dynamic team at 42dot as a Frontend Engineer in our innovative Pleos Playground. We are seeking passionate individuals who are eager to contribute their skills in developing user-friendly web applications. In this role, you will collaborate closely with designers and backend developers to create seamless and engaging user experiences. Your expertise in frontend technologies will help shape the future of our products and enhance our clients’ digital interactions.

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.

About the Role 42dot is looking for an Android Application Engineer to focus on the IVI App Market. This position is based at the Software Dream Center in Pangyo, South Korea. What You Will Do Design and build Android applications for in-vehicle infotainment (IVI) systems Work closely with teams from different disciplines to deliver features that improve the automotive user experience Develop, test, and refine solutions that fit smoothly into IVI environments Who We’re Looking For Experience with Android application development Interest in automotive technology and user experience Ability to collaborate with engineers, designers, and product teams

Role Overview 42dot is looking for a Camera Framework Engineer in Pangyo, South Korea. This role focuses on developing, integrating, and optimizing camera framework solutions that support autonomous driving projects. What You Will Do Develop camera framework solutions for in-house projects Integrate camera functionalities with other systems and platforms Optimize camera frameworks to meet performance and reliability goals Work closely with cross-functional teams to ensure smooth system integration Contribute to the progress of autonomous driving technologies Location This position is based at the Software Dream Center in Pangyo, South Korea.

Join Our Team of Innovators42dot is seeking a talented Senior IVI OS Engineer specializing in Mobile Integration to develop middleware, applications, and SDKs that enhance connectivity between mobile devices and small accessories in an Android Automotive based In-Vehicle Infotainment (IVI) environment.Key Responsibilities:Develop Phone Projection Solutions based on Android Automotive (Android Auto, CarPlay, iAP2).Create casting and mirroring solutions.Design and develop communication protocols for heterogeneous devices.Qualifications:Bachelor’s degree or equivalent experience (Engineering preferred).Over 5 years of experience in Android/Linux embedded systems and application development.Proficient in C, C++, JAVA/Kotlin, and other core languages for Android/Linux embedded systems.Preferred Qualifications:Experience and understanding of Android Auto and CarPlay development.Familiarity with Android Application Framework development.Knowledge of Android Bluetooth/Wi-Fi stack.Experience in developing network applications.Understanding of Bluetooth profiles.Comprehensive knowledge of the Android platform.Interview Process:Application screening - Coding test - Video interview (approx. 1 hour) - In-person or video interview (approx. 3 hours) - Final acceptance.The interview process may vary by position and is subject to change based on scheduling and circumstances.Schedule and results will be communicated via the email provided in your application.Additional Information:Please exclude personal information such as social security number, family relations, marital status, salary, photo, physical conditions, and hometown from your resume submission as per hiring procedure laws.All submitted files should be in PDF format and less than 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.A reference check may be conducted with the candidate’s consent after the interview process.Veterans and those eligible for employment protection will be given preference in accordance with applicable laws.Candidates with a disability registration certificate will also be preferred as per the Act on the Promotion of Employment for Persons with Disabilities.42dot does not accept resumes from unsolicited search firms and will not pay fees for unsolicited resumes.

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.

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.