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About the job
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 Responsibilities
Optimize 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.
Full-time|On-site|Pangyo (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 nee…
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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).
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (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 nee…
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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).
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
Full-time|On-site|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.
Full-time|On-site|Pangyo (Software Dream Center), South Korea
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.
