Senior IVI OS Engineer - Mobile Integration

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 b…

Join Our Innovative Team!At 42dot, we are pioneering advancements in urban mobility through our Urban Mobility Operating System (UMOS), which offers a comprehensive platform encompassing all aspects of mobility services.Our Vehicle Sync Platform, a core component of UMOS, is designed as a next-generation integrated data pipeline and processing platform, preparing for the commercialization of Software Defined Vehicles (SDV), Electric Vehicles (EV), and Autonomous Driving (AD).Key Responsibilities:Design and develop vehicle agents and cloud servers for data transmission and processing of SDV vehicles.Architect and implement large-scale data streaming applications.Enhance cloud-vehicle communication systems for real-time data synchronization.Design and operate microservices architecture with a focus on stability and scalability.Structure data pipelines with an emphasis on processing efficiency.

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 42dot as a Security Engineer specializing in vehicle networking. In this role, you will be a key player in developing and implementing robust security solutions for our cutting-edge automotive technologies. Your expertise will help safeguard our systems against emerging threats and vulnerabilities.Responsibilities include conducting security assessments, developing security protocols, and collaborating with cross-functional teams to enhance our vehicle networking infrastructure. You will leverage your knowledge of security principles and best practices to innovate and protect our products.

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 Innovative Team!At 42dot, our IVI OS Engineers play a crucial role in enhancing the In-Vehicle Infotainment (IVI) system, a core component of Software Defined Vehicles (SDV). Leveraging Android Automotive, you will optimize and develop essential middleware and applications that drive our competitive edge in the automotive industry.Your ResponsibilitiesDevelop Android Automotive HAL, including Vehicle, GNSS, and Sensor HAL.Create vehicle data simulation tools based on Android Automotive OS.Integrate IVI with SDV Vehicle OS and develop service applications.QualificationsExperience in developing embedded systems based on AAOS/Linux.Proficient in Android HAL development and testing with VTS.Software development experience utilizing protocols like CAN, SOME/IP, or DDS.Strong skills in embedded system languages such as C, C++, Java, or Rust.Preferred QualificationsBroad understanding of Android platform and Automotive Car Services.Experience integrating IVI with vehicle controllers.Familiarity with UDS-based vehicle controller diagnostics.Interest in code automation and efficiency improvements.Interview ProcessApplication screening - Coding test - Video interview (approx. 1 hour) - Face-to-face or video interview (approx. 3 hours) - Final acceptance.The process may vary by position and is subject to change based on circumstances.Interview schedules and results will be communicated via the email provided in your application.Additional InformationPlease exclude personal information such as your Social Security number, family relations, marital status, salary information, photographs, physical condition, and region of origin when submitting your resume.All submitted files should be in PDF format and under 30MB. If you encounter issues during the upload process, please send your resume to recruit@42dot.ai along with the URL of the position you are applying for.A reference check may be conducted with the applicant's consent after the interview process.Veterans and individuals protected by employment protection laws are given preference according to relevant laws.Applicants holding a disability registration certificate are preferred in accordance with the Act on the Promotion of Employment for Disabled Persons and Vocational Rehabilitation.42dot does not accept unsolicited resumes from search firms and will not pay a fee for resumes submitted without a prior agreement.※ Please review the following information before applying.Learn about how 42dot works, here.

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.

Role Overview 42dot is seeking a Strategic Partnerships Manager to help grow the Playground division at the Pangyo Software Dream Center. This role focuses on identifying, developing, and managing partnerships that support business goals. What You Will Do Work with teams across the company to spot and pursue new partnership opportunities Develop and maintain relationships with partners that support Playground’s growth Manage ongoing partnerships to ensure they deliver value for both sides What We Look For Experience building and managing business partnerships Strong collaboration skills with cross-functional teams Comfort working in a setting where priorities can shift quickly Interest in expanding market reach and supporting new offerings Location 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.