Android Engineer (Services) - Drive Innovation in Automotive Technology

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 An…

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.

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.

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 Innovative Team!The Audio Team at 42dot is dedicated to developing cutting-edge voice technologies that enhance user interaction with vehicles. Our voice recognition technology enables seamless communication between users and their vehicles through voice commands, making driving safer and more convenient.Key ResponsibilitiesDesign and develop speech-to-text (STT) acoustic and language models, along with building comprehensive voice databases.Design wake word detection (WWD) models and establish related voice databases.Create and optimize batch and streaming voice applications for server and on-device environments (Linux, Android).Develop and optimize hardware-efficient models.QualificationsMinimum of 2 years of relevant experience (new graduates with a master’s degree are welcome to apply).Strong foundational knowledge in speech signal processing.Research experience in machine learning/artificial intelligence related to STT or WWD technology.Ability to develop applications on edge devices (Linux, Android).Proficient programming skills for innovative technology solutions (C/C++/Python/Shell).Experience with open-source deep learning frameworks (e.g., PyTorch, TensorFlow, Keras, Caffe).Preferred QualificationsFamiliarity with version control systems (Git).Understanding of unit testing, static analysis, test automation, and CI/CD processes.Experience in developing STT technologies for commercial applications.Research experience in self-supervised learning (SSL) and attention-based encoder-decoder (AED) STT models.Experience in multilingual STT research.Research experience in language models for speech recognition.Author of publications in top-tier journals/conferences in speech recognition/machine learning/AI.Possession of a master's or doctoral degree in relevant fields.Interview ProcessApplication review - Coding test - Video interview (approximately 1 hour) - In-person or video interview (approximately 3 hours) - Final selection.The process may vary by role and is subject to change based on scheduling and circumstances.Interview schedules and results will be communicated via the email provided in your application.Additional InformationPlease refrain from including prohibited information such as personal ID numbers, family relations, marital status, salary expectations, photographs, physical conditions, or place of origin in your resume.All submitted files should be in PDF format and less than 30MB. If you encounter issues uploading your resume, please send it along with the URL of the position you're applying for to recruit@42dot.ai.

Join 42dot as the Pleos Playground Product Team Lead and spearhead innovative projects that shape the future of our software solutions. In this pivotal role, you will lead a dynamic team, driving product vision, strategy, and execution to ensure the success of our Pleos Playground offerings.

42dot, a member of Hyundai Motor Group’s global software center, specializes in advanced software and AI for mobility solutions. The company’s work centers on software-defined vehicles and the vision of a fully connected, autonomous urban transport system. Safety and user experience remain priorities, with ongoing updates and performance improvements shaping every decision. Role overview The Senior Project Manager oversees large-scale projects from initiation through completion. This position plays a key role in supporting engineering teams, handling project delivery, and managing the challenges that arise both within the organization and with external partners. The main objective is to keep development teams focused on their core work while ensuring projects progress without unnecessary delays. Location This position is based in Pangyo at the Software Dream Center in South Korea.

Join 42dot as a Platform Technical Program Manager in our innovative Pleos Playground team. In this pivotal role, you will lead and manage cross-functional technical programs, ensuring that our platform continues to evolve and meet the needs of our users. Your expertise will guide teams in delivering high-quality solutions and maintaining a seamless user experience.As a vital player in our organization, you will collaborate with engineering, product, and design teams to drive project success. Your strategic oversight will help us enhance our technological capabilities and provide our clients with top-notch services.

Join Our Team of InnovatorsAt 42dot, we are in search of a Senior Strategy Manager who will play a pivotal role in shaping our long-term corporate strategies from a holistic perspective. This position involves not only crafting strategic plans but also actively leading the resolution of various organizational issues. By analyzing sectors such as Software-defined Vehicles, mobility, and autonomous driving, you will provide critical insights to support executive decision-making.Key ResponsibilitiesDevelop and manage annual and long-term management strategiesMonitor and coordinate business alignment with major corporate initiativesProactively identify and resolve various company-wide management issuesConduct analyses of adjacent industries, policies, and industry trends to derive actionable insightsEngage in strategic collaboration and coordination with affiliates and partnersPrepare reports for executives to facilitate informed decision-makingQualificationsA minimum of 7 years of relevant experience in strategy, planning, consulting, or business developmentStrong analytical skills with a data-driven approach to problem-solvingExperience in managing executive communications and collaboration with related departmentsExpertise in conducting in-depth market and competitor researchAbility to produce high-quality documentation swiftly and effectivelyProficient in business-level English communicationPreferred QualificationsDeep understanding of Software-defined Vehicles, mobility, and autonomous driving technologiesExperience in technology development and communication about technical issuesBackground in strategic consulting projectsPreferred candidates with experience in large corporations or holding companiesInterview ProcessApplication screening - First interview (approx. 1 hour) - Second interview (approx. 3 hours, in-person) - Final selectionThe process may vary depending on the position and is subject to change based on scheduling and circumstances.Candidates will receive updates on the schedule and results via the email provided in their application.Additional InformationPlease exclude personal information such as social security numbers, family relations, marital status, salary, photos, physical conditions, and place of origin when submitting your resume as per recruitment law regulations.All submitted documents should be in PDF format and under 30MB. If you encounter issues while uploading your resume, please send it along with the position URL to recruit@42dot.ai.After the interview process, a reference check may be conducted with the candidate's consent.Candidates eligible for national veterans' benefits and employment protection will be prioritized in accordance with relevant laws.Individuals with disabilities who have a registered disability certificate will also be given preference.

Join Our Dynamic TeamAt 42dot, we are at the forefront of innovation, collaborating with Hyundai Motor Group to develop cutting-edge technologies for Software Defined Vehicles (SDV). Our mission is to revolutionize mobility by seamlessly integrating vehicles with cloud technology, users, and services, creating an unparalleled driving experience through platforms such as Pleos Vehicle OS, Pleos Connect, Atria AI, Gleo AI, and Pleos Playground.As a Connect Product Planner, you will delve deep into existing automotive experiences and propose new mobility solutions. You will be responsible for crafting the platform strategy and UX scenarios for our infotainment system, building it into the SDV OS. This role transcends basic UI design; it involves discovering service elements, defining detailed functionalities, scenario planning, and developing policies and strategies for enhancing the overall vehicle experience.

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.