Android Application Engineer for Gleo AI Application

Join Our Innovative Team!At 42dot, we are at the forefront of developing an AI Assistant App that enhances the driving experience by minimizing unnecessary interactions and allowing for secure, voice-controlled vehicle management. Our team is dedicated to creating intuitive solutions powered by Large Language Models (LLM), delivering only the most relevant i…

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

Join Our Team of Innovators!At 42dot, we are pioneering the development of Connected Car services that seamlessly integrate vehicles with mobile technology. Our users can monitor vehicle status and remotely control features through a mobile app, providing an enriched Mobility Life experience with functionalities like digital keys, OTA (Over-The-Air) updates, app marketplace access, and charging options.As an Android Application Engineer, you will be at the forefront of implementing cutting-edge architecture and technologies recommended by Google, fostering a culture of zero technical debt. You will enhance productivity, maintainability, and reliability by designing efficient app architectures while leveraging the latest Android tech stack to deliver high-performance applications with intuitive user experiences.

Join Our Team of Innovators!At 42dot, we are at the forefront of developing cutting-edge vehicle applications based on Software-Defined Vehicle (SDV) architecture. As a Vehicle Application Engineer, you will design and implement a diverse range of automotive applications, focusing on critical functionalities such as vehicle control, user interfaces (UI), user management, remote control, and data collection and analysis. Utilizing distributed messaging frameworks and fault tolerance structures, you will create reliable and scalable applications that enhance the driving experience.Check out Pleos: Link

Join Our Team of Innovators!About UsAt 42dot, we are dedicated to tackling mobility challenges through cutting-edge software and artificial intelligence. As a part of the Hyundai Motor Group's global software center, we lead the way in the development of software-defined vehicles, paving the path for future mobility solutions.Our commitment to safety and user-centric software technology drives us to deliver the latest performance enhancements through continuous updates, akin to smartphone advancements. By advancing software and AI technologies, 42dot envisions a new world with connected and autonomously operated urban traffic management systems.Key ResponsibilitiesDevelop specifications and features for Connected Car Service (CCS) systems for 42dot controllers and legacy ECUs, focusing on OTA, diagnostics, and vehicle data collection functionalities.Create software middleware and application development for CCS, including MCU-based device drivers and Hardware Abstraction Layer (HAL) development.Design and implement OTA and diagnostic integration features across heterogeneous networks.Develop protocols and software for internal vehicle data collection and server uploads.Required QualificationsProven experience in embedded software development projects.Experience in developing vehicle diagnostic communication systems using UDS protocol.Deep understanding and project experience with OTA and diagnostic protocols.Strong knowledge of RTOS or Linux systems.Preferred QualificationsExperience in developing software for HKMC integrated communication controllers (CCU).Familiarity with developing CCU standard specifications (functional/system/diagnostic specifications) and deploying CCU across various vehicle models.Experience with diagnostic stack development in AUTOSAR or Linux systems.Interview ProcessApplication review - Coding test - Video interview (approximately 1 hour) - In-person or video interview (approximately 3 hours) - Final selection.The selection process may vary by role and is subject to change based on scheduling and circumstances.Interview schedules and results will be communicated individually via the email registered in your application.Additional InformationPlease refrain from including personal information such as social security numbers, family relations, marital status, salary, photos, physical conditions, or place of origin, as it is prohibited by recruitment regulations.All submitted files should be in PDF format and not exceed 30MB. If you encounter issues uploading your resume, please send it to recruit@42dot.ai along with the URL of the position you are applying for.Reference checks may be conducted with the candidate's consent after the interview process.Veterans and individuals eligible for employment protection will be given preference in accordance with relevant laws.Individuals with registered disabilities will also be prioritized under the Act on the Promotion of Employment for Persons with Disabilities.42dot does not accept unsolicited applications from recruitment agencies.

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 42dot as a Media Application Engineer, where you will leverage your expertise to develop innovative media applications. Collaborate with a talented team to push the boundaries of technology and enhance user experiences. Your role will involve designing and implementing robust software solutions, working closely with cross-functional teams to ensure optimal performance and user satisfaction.

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 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.

Role Overview 42dot is looking for an Android Engineer with deep experience in UI framework development. This position is based at the Software Dream Center in Pangyo, South Korea. The role centers on building and refining user interfaces that deliver a high-quality experience. What You Will Do Design and implement UI frameworks for Android applications Optimize user interfaces to ensure smooth, responsive interactions Work closely with other engineers to deliver reliable and maintainable code Contribute to projects where thoughtful UI design makes a difference for users Who We’re Looking For Strong background in Android development Experience with UI framework design and implementation Interest in building interfaces that enhance user experience Comfort working in a collaborative, project-driven setting

Join Our Team of InnovatorsAt 42dot, we are at the forefront of autonomous driving technology, and we are seeking a Senior Physical AI Engineer to join our dynamic team. Our mission is to develop cutting-edge solutions that enhance Motion Planning algorithms, ensuring the safety and reliability of autonomous systems. As a part of our team, you will leverage extensive datasets to analyze driving patterns, enabling us to create algorithms that provide smooth and intuitive vehicle control. Together, we will push the boundaries of what is possible in autonomous driving.Key ResponsibilitiesLead the design and implementation of sophisticated machine learning models tailored for autonomous driving, focusing on perception, decision-making, and control mechanisms.Manage the complete machine learning pipeline, overseeing data collection, preprocessing, model training, optimization, and deployment.Utilize advanced deep learning techniques, including reinforcement learning, imitation learning, and self-supervised learning, to enhance the performance of autonomous systems.Fine-tune model performance to operate effectively under real-world driving scenarios, ensuring flawless integration with vehicle software architectures.Work collaboratively with interdisciplinary teams encompassing software, hardware, and vehicle control to align machine learning systems with vehicle frameworks.Provide mentorship to junior engineers, fostering best practices in machine learning development.Stay abreast of the latest advancements in machine learning and autonomous driving, contributing innovative ideas to the team.

Join Our Innovative 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.

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 Dynamic TeamAt 42dot, we are on the lookout for a talented Senior AI Data Pipeline Engineer to design, develop, and enhance our global data pipelines. You will play a crucial role in managing and processing data collected from around the world, ensuring that our high-throughput systems reliably deliver petabyte-scale data to our vast GPU infrastructure, thereby powering essential AI workloads.As part of our team, you will have the opportunity to architect scalable solutions that support diverse AI and machine learning projects, while collaborating closely with AI researchers and platform teams to ensure efficient data flow into training and evaluation pipelines.

Join Our Innovative TeamAbout UsAt 42dot, our Gleo Interactor team is dedicated to transforming user experiences in Software-Defined Vehicles (SDV) through cutting-edge On-Device Agent Orchestration technology. Our goal is to realize Calm Technology, where Ambient AI leverages Generative AI (LLM) and Personal Context to understand user behavior and deliver relevant information seamlessly.We encourage experimentation with the latest LLMs and AI research trends, allowing you to gain hands-on experience in developing Agent SDKs and On-Device AI services. We seek passionate engineers eager to contribute to the future of mobility technology by creating intelligent AI agents.Our collaborative environment promotes open communication and knowledge sharing. Join us in various research and development loops, including paper reviews, model experiments, and user behavior analyses.

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.

Join Us as an Audio DSP Engineer!At 42dot, we are in search of a talented Audio DSP Engineer dedicated to advancing audio signal processing and pre-processing technologies specifically tailored for automotive environments. You will enhance voice recognition and sound quality across various vehicle settings while delivering optimized solutions for OEM vehicles through proprietary tuning of preprocessing technologies such as AEC, AGC, and NR. Your contributions will bolster our competitiveness in Audio Intelligence and facilitate the successful implementation of Connect and Ambient AI systems.Key ResponsibilitiesDesign and optimize core audio signal processing algorithms, including AGC, AEC, and NR.Develop signal processing solutions tailored to specific vehicle conditions.Innovate voice recognition and signal separation technologies based on multi-microphone data to enhance recognition accuracy.Create scalable algorithms for diverse seating arrangements and environments.Support tuning and optimization of preprocessing technologies for various OEM vehicles.Assist in production projects, manage timelines, resolve technical requirements, and ensure adherence to schedules.Conduct signal quality testing and debugging to stabilize the system.Decrease dependence on outsourced solutions by internalizing technologies.Provide continuous maintenance and enhancement of technologies post-production.QualificationsExperience in designing audio signal processing and preprocessing algorithms (AGC, AEC, NR).Understanding or experience in voice recognition and signal separation.Proficiency in signal processing and algorithm implementation languages such as MATLAB, Python, or C/C++.Experience in DSP development and debugging skills.Experience in project management and requirement analysis in production settings.Ability to collaborate within teams and communicate effectively with external partners.Experience in developing automotive audio systems or related domains.Experience in researching or applying acoustic technologies in multi-microphone environments.Preferred QualificationsExperience in voice signal processing leveraging machine learning or deep learning.Experience in developing and tuning voice recognition systems (e.g., wake-up word).Experience in researching and implementing acoustic scenarios utilizing external microphones.Collaboration experience with OEMs or Tier 1 suppliers.Experience in validating audio systems and quality control during production stages.Creative problem-solving skills necessary for analyzing and resolving complex technical issues.A clear decision-making approach and the ability to collaborate effectively with team members.Interview ProcessApplication Review - Coding Test - Video Interview (approximately 1 hour) - In-person or Video Interview (approximately 3 hours) - Final OfferThe selection process may vary by position and is subject to change based on scheduling and circumstances.Dates and results of the interview process will be communicated individually via the email provided in the application.

Join Our Team as a Lead Audio DSP Engineer!At 42dot, we are on the lookout for an exceptional Lead Audio DSP Engineer to spearhead the development of audio signal processing and preprocessing technologies tailored for automotive environments. You will set strategic directions and lead a team dedicated to delivering optimized voice recognition and sound quality solutions. Your leadership will be crucial in internalizing preprocessing technologies (such as AEC, AGC, NR) and customizing tuning processes to provide tailored solutions for OEM vehicles, ensuring project timelines and quality targets are consistently met.Key Responsibilities:Design and optimize core audio signal processing algorithms, including AGC, AEC, and NR.Develop signal processing solutions adapted to various vehicle conditions.Advance seat-specific voice recognition and signal separation technologies based on multi-microphone data to enhance recognition accuracy.Create scalable algorithms suitable for diverse seating arrangements and environments.Support tuning and optimization of preprocessing technologies for specific OEM vehicles.Manage production project timelines and quality milestones, addressing technical requirements efficiently.Conduct signal quality testing, debugging, and system stabilization.Reduce reliance on outsourced solutions by fostering internal technical capabilities.Ensure continuous maintenance and enhancement of technologies post-production.

Join Our Team of InnovatorsAt 42dot, we are seeking an exceptional Senior IVI System Engineer specializing in Audio to enhance the in-vehicle infotainment systems (IVI) on Android platforms for Software Defined Vehicles (SDV). You will play a pivotal role in developing and optimizing the Board Support Package (BSP) for audio systems.Key Responsibilities:Develop drivers for vehicle audio hardware (DSP, Amplifiers, Speakers, etc.) to interface with Android systems.Create and optimize sound drivers based on the Advanced Linux Sound Architecture (ALSA).Implement and customize the Audio Hardware Abstraction Layer (HAL).Develop specialized audio functionalities for vehicles, such as Zone Audio, Audio Routing, and Volume Control.