Camera Framework Engineer at 42dot | Pangyo, South Korea

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 Opt…

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, 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 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 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 dynamic team at 42dot as a Senior Facility Manager. In this pivotal role, you will oversee and manage the operations of our facilities, ensuring optimal functionality and safety. Your expertise will drive the seamless integration of our facility management practices, supporting our mission to foster an innovative work environment.

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 Our Team of InnovatorsAbout UsAt 42dot, we are dedicated to solving mobility challenges through software and artificial intelligence. As a pivotal part of the Hyundai Motor Group's global software center, we lead the development of software-defined vehicles, paving the way for the future of mobility.Our commitment to safety and user-centered design drives us to create software-defined vehicle technologies that provide continuous updates, akin to the experience of using a smartphone. By advancing software and AI technologies, we envision a world where everything is interconnected and autonomous, fundamentally transforming urban transportation systems.Key ResponsibilitiesRedefine the core values of our corporate culture and design organizational programs that promote these values across the company.Lead company-wide communications to ensure that leadership philosophies and business directions are conveyed accurately to all employees.Diagnose cultural bottlenecks within the organization and propose actionable solutions to implement change through both online and offline channels.Establish and manage a Learning & Development framework to effectively support business and technology development from an organizational and individual capability perspective.QualificationsOver 7 years of experience in Human Resource Development or organizational culture-related roles.Strong planning and communication skills to translate leadership messages and business strategies into relatable concepts for team members.Demonstrated success in leading organizational change or culture-related projects.Ability to maintain self-management in a fast-paced Agile environment and collaborate with various stakeholders based on trust.

As a Senior Public Relations Manager at 42dot, you will play a pivotal role in shaping our public image and enhancing brand visibility. In this key position, you will lead strategic communication initiatives, manage media relations, and advocate for our corporate values. Your expertise will contribute to developing innovative PR campaigns that resonate with our audience and foster community engagement.

Are you passionate about transforming data into actionable insights? Join 42dot as a Senior People Data Analyst where you will play a crucial role in our data analytics team. You will be responsible for analyzing complex datasets, providing insights that drive strategic decisions, and improving our people operations.Your expertise will help shape our HR practices and enhance employee experiences through data-driven solutions.

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 information to drivers while ensuring they can access smart services effortlessly through voice commands.We continually research and develop personalized services that adapt to the user's context within the vehicle's infotainment (IVI) environment, leveraging both vehicle and driver data to provide a smarter voice experience.Key ResponsibilitiesDevelop Android applications tailored for vehicles, utilizing cutting-edge AI SDKs including voice recognition and synthesis.Customize user experience (UX) and HMI integration in alignment with Google Automotive Services (GAS) and AAOS specifications.Integrate vehicle control features (e.g., air conditioning, windows, seats) through the AAOS Vehicle API.Create services that interface with existing IVI applications for navigation, telephony, and radio.Design and develop interfaces for LLM-based third-party application integration.QualificationsA minimum of 3 years experience in Android application development (including graduate studies).Strong understanding of the Android platform with proficiency in Java or Kotlin.Proficient in at least one of the following languages: Java, Kotlin, or C++.Preferred QualificationsExperience in developing vehicle infotainment (IVI) or connected vehicle services.Knowledge of AAOS (Android Automotive OS) or AOSP (Android Open Source Project) development.Experience utilizing modern architectures and communication technologies such as MVVM, RxJava, gRPC, and RESTful APIs.Proven track record of enhancing app performance and user experience based on user feedback.A collaborative spirit with a passion for sharing technical knowledge and learning new technologies.Portfolio submission (e.g., GitHub contributions) is a plus.Interview ProcessApplication review - Coding test - Video interview (approx. 1 hour) - In-person or video interview (approx. 3 hours) - Final selection.Process may vary by position and is subject to change based on scheduling and circumstances.Interview schedules and outcomes will be communicated via the email provided in your application.Additional InformationPlease exclude sensitive information such as personal ID numbers, family relations, marital status, salary history, photos, physical characteristics, and place of origin from your resume submission.All submitted files should be in PDF format and under 30MB. If you encounter issues uploading your resume, please send it to recruit@42dot.ai along with the position URL.Post-interview, reference checks may be conducted with your consent.

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.

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.