Senior IVI System Software Engineer (BSP)

Join Our Innovative TeamAbout 42dotAt 42dot, we are at the forefront of the Software Defined Vehicle (SDV) revolution. Our In-Vehicle Infotainment (IVI) System Software Engineer (BSP) plays a pivotal role in developing system software for Android Automotive (OS), ensuring that our diverse range of services operates in a stable and optimized environment.This …

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 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.

42dot is looking for an Infra Security Engineer to focus on endpoint security solutions at the Software Dream Center in Pangyo, South Korea. This position centers on both implementing and managing security measures designed to protect the company’s infrastructure. Role overview This role involves developing security strategies that strengthen the organization’s defenses. The main focus is on endpoint security, ensuring that all devices connected to the network are protected against threats and vulnerabilities. Key responsibilities Implement endpoint security solutions across the company’s infrastructure. Manage and maintain these security systems to ensure ongoing protection. Develop strategies to improve cybersecurity resilience and address emerging risks. Location This position is based in Pangyo at the Software Dream Center, South Korea.

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

Join Our Team of InnovatorsAt 42dot, we are in search of a talented Senior MCU System Engineer specializing in Power Management and Sleep Wakeup. This role is crucial for the development of high-performance MCU-based zonal controllers that enhance the power efficiency of Software-Defined Vehicles (SDVs). You will be responsible for designing and developing system software that includes a hardware abstraction layer and system platform, ensuring reliable operation even in mission-critical scenarios.Key Responsibilities:Design and implement the Power State Machine for Zonal Controllers, covering states such as Initialization, Normal, Sleep, Standby, and Shutdown.Develop scenarios for entering and exiting Low Power Mode while optimizing for minimal Dark Current and Quiescent Current.Implement System Sleep/Wakeup logic and integrate with Network Management (CAN/LIN/Ethernet NM).

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 Our Team as a Senior IVI System Engineer (Radio)At 42dot, we are dedicated to innovation in the automotive industry. As a Senior IVI System Engineer specializing in Radio, you will play a vital role in developing and optimizing the Board Support Package (BSP) for our vehicle infotainment systems on the Android platform. Your expertise will ensure support for various radio tuner devices including AM/FM, DAB, and HD Radio, delivering excellent reception quality and stable radio performance.Key Responsibilities:Develop device drivers for vehicle radio tuner hardware (AM/FM, DAB, HD Radio) interfacing with Android systems.Optimize and develop Linux kernel-based radio tuner device drivers.Implement and customize Android Radio HAL (HIDL/AIDL).Develop interfaces between HAL and kernel drivers, ensuring seamless integration.Debug and optimize for improved radio reception quality, performance, and stability.Collaborate with HW and Audio Framework teams for integrated development.Qualifications:Bachelor's degree in Computer Science, Electrical Engineering, Telecommunications, or a related field, or equivalent practical experience.Over 7 years of experience in Android or Linux embedded system development on ARM-based SoCs.Proven experience in Linux kernel and device driver development.Experience in Android platform development, including AOSP build systems.Familiarity with HIDL or AIDL-based HAL development.Strong skills in hardware specification interpretation and low-level debugging.Preferred Qualifications:Experience in mass production development of IVI systems at OEMs or Tier 1 suppliers.Customization experience with Radio HAL or related HAL.Experience with the development of radio tuner systems including AM/FM, DAB, HD Radio.Experience in controlling RF tuner chipsets and related interfaces (SPI, I2C, etc.).Experience in IVI system integration and debugging in automotive environments.Interview Process:Application screening - Video interview (approximately 1 hour) - On-site interview (approximately 3 hours including live coding test) - Final decision.The selection process may vary by position and is subject to change based on scheduling and circumstances.Interview dates and results will be communicated to the email provided in your application.Additional Information:Please exclude sensitive information such as personal identification numbers, family details, marital status, salary, photographs, physical conditions, or place of origin in your resume submission as per recruitment regulations.All submitted files should be in PDF format and under 30MB. If you encounter issues uploading your resume, please email it along with the URL of the position you are applying for to recruit@42dot.ai.After the interview process, we will ask for your consent to retain your information for future opportunities.

Join Our Team at 42dotAt 42dot, we are seeking a talented Product Management System Implementation Project Manager to lead the transformation of our product development processes in the Software Defined Vehicle (SDV) sector. This role will focus on digitizing the entire product development lifecycle and designing data-driven decision-making frameworks that enhance our operational efficiency.As a pivotal member of our team, you will be responsible for establishing a Digital Foundation that seamlessly integrates Product Lifecycle Management (PLM), vehicle design, software definition, and manufacturing data. Your leadership will help bring 42dot's innovative engineering culture to life through effective systems implementation.

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.