Senior Mechanical Engineer

Join Our Innovative Team!At 42dot, we are on a mission to revolutionize the autonomous driving landscape. We are seeking a talented Senior Mechanical Engineer to spearhead the design and development of high-performance controllers and sensors integral to our Self-Driving Vehicle (SDV) projects.Key Responsibilities:Lead the design, development, and fabricatio…

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

Join Our Team of ExpertsAbout 42dotAt 42dot, our Database Engineering team ensures the reliability and security of our databases, allowing for stable management and operations. We specialize in designing and tuning resilient database systems across multi-cloud environments, including RDS, NoSQL, GraphDB, and OLAPDB, while maintaining a focus on infrastructure, services, and security.Key ResponsibilitiesInstall and operate stable cloud-based database systems.Design and support database structures based on service requirements, infrastructure, and security regulations.Ensure compliance with security standards for sensitive data and manage database access and permissions.Develop automation capabilities to enhance effective database operation and management.QualificationsOver 7 years of experience operating RDBMS and MongoDB.Experience managing databases in both cloud and on-premises environments.Proven experience in designing and managing large-scale databases.Familiarity with GraphDB, including Neo4j.A passion for DBRE and a positive attitude towards tackling various new technologies.Preferred QualificationsDevelopment skills to create necessary tools (Python, Bash, Go, etc.).Experience operating various open-source systems and tools.Global database management experience.Experience with vector databases.Experience operating Clickhouse.Experience with Infrastructure as Code (IaC).Interview ProcessApplication Review - Coding Test - Video Interview (approximately 1 hour) - In-person or Video Interview (approximately 3 hours) - Final Offer.The interview process may vary by job role and is subject to change based on scheduling and circumstances.Interview schedules and results will be communicated via the email registered in your application.Additional InformationPlease exclude information such as your resident registration number, family relations, marital status, salary, photo, physical condition, and place of origin from your resume, as required by the recruitment procedure law.All submitted files should be in PDF format and not exceed 30MB. If you encounter issues uploading your resume, please send it to recruit@42dot.ai along with the URL of the position you are applying for.After completing the interview process, a reference check may be conducted with the candidate's consent.Candidates eligible for national veteran status and employment protection will be given preference according to relevant laws.Individuals with disabilities will be preferred in accordance with the Act on the Promotion of Employment and Vocational Rehabilitation of Persons with Disabilities.42dot does not accept unsolicited resumes from recruitment agencies, and we do not respond to unsolicited applications.

Join Our Innovative TeamAs a Senior Radar System Engineer at 42dot, you will play a pivotal role in the production development of radar systems for autonomous vehicles and systems. This position encompasses everything from the development of radar system specifications to system integration and mass production. A profound understanding of radar technology, system integration, and automotive industry standards is essential.Key ResponsibilitiesImplement and validate the performance of radar systems for vehicles in mass production.Collaborate with hardware, software, and systems engineering teams for vehicle integration of radar systems.Conduct system-level design and performance analysis, troubleshooting issues as they arise.Draft and maintain technical documentation including specifications, design documents, and test plans.Develop radar mounting and interface solutions within vehicles, considering power, communication, and environmental factors.Ensure compliance with automotive industry standards and regulations (ISO 26262, AUTOSAR, UNECE, etc.).QualificationsBachelor's or Master’s degree in Electrical Engineering, Computer Science, or a related field.Over 5 years of experience in relevant fields.Strong understanding of radar technology.Familiarity with development and production specifications (Automotive Ethernet / CAN communication, UDS, DoIP, AutoSAR, EOL, ES / MS).Experience in radar system design and integration.Knowledge of automotive standards and protocols (ISO 26262, AUTOSAR, etc.).Proven problem-solving skills with the ability to analyze and resolve complex issues.Excellent communication skills and ability to work collaboratively in a team environment.Preferred QualificationsExperience in radar development and mass production.Experience with Advanced Driver Assistance Systems (ADAS) and autonomous driving technology in mass production.Team leadership or project management experience.Understanding of automotive quality standards (IATF 16949, etc.).Proficient in simulation and analysis tools (MATLAB, Python, C, C++, etc.).Business proficiency in English.Interview ProcessApplication review - Video Interview (approximately 1 hour) - In-person or Video Interview (approximately 3 hours) - Final Offer.The interview process may vary by position and is subject to change based on scheduling and circumstances.Interview schedules and results will be communicated individually to the email address provided in your application.Additional InformationPlease refrain from including personal information such as ID numbers, family relations, marital status, salary, photographs, physical conditions, or place of origin in your resume as per recruitment guidelines.All submitted files should be in PDF format and under 30MB. If you experience issues during the resume upload process, please send your resume along with the URL of the position you are applying for to recruit@42dot.ai.

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

Join Our Innovative Team!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 Cutting-Edge Team!At 42dot, we are on the forefront of innovation in autonomous driving technology. We are currently seeking a talented Simulation Engineer to enhance our Autonomous Driving division. In this pivotal role, you will be instrumental in designing and upholding advanced simulation environments that rigorously test and validate the efficacy of our autonomous systems. Collaborating closely with diverse teams, you'll ensure that our simulation tools are robust, scalable, and precise.Your Responsibilities Will Include:Creating and sustaining high-fidelity simulation environments for autonomous driving algorithms and software testing.Integrating realistic vehicle, sensor, and environmental models within our simulation framework.Designing and conducting simulation experiments to validate the performance of perception, planning, and control algorithms.Working alongside software engineers, robotics specialists, and data scientists to incorporate simulation tools into our development processes.Analyzing simulation outcomes and delivering actionable insights to enhance the performance and reliability of our autonomous driving systems.Keeping abreast of the latest simulation technology advancements and integrating them into our processes.

Join Our Dynamic Team!At 42dot, we are at the forefront of designing and manufacturing advanced electronic systems within a vibrant Agile development culture. We are seeking an exceptional Senior PCB Design Engineer to contribute expertise in high-speed interfaces, power design, and multilayer PCB design.Key Responsibilities:Design high-speed, multilayer PCB artwork and layouts based on schematics.Optimize designs considering signal integrity (SI), power integrity (PI), and electromagnetic interference (EMI).Collaborate with mechanical design and hardware development teams on design for manufacturability (DFM) and structural integration reviews.Apply design constraints using Cadence Allegro and OrCAD ECAD tools.Generate manufacturing outputs including Gerber files, drill files, and bills of materials (BOM).Incorporate internal reviews and feedback to enhance designs.Manage design documentation and maintain quality standards.Ensure compliance with IPC standards and automotive OEM design requirements.

Join Our Team as a VLA EngineerAt 42dot, we are at the forefront of developing innovative multimodal driving models that enhance autonomous driving capabilities through a sophisticated integration of visual perception, scene context, and driving actions. Our mission is to revolutionize planning, decision-making, and action generation in real-world driving conditions utilizing VLA-style modeling techniques that incorporate prior knowledge for superior generalization.We emphasize production deployment and vehicle execution to ensure our solutions are effective and reliable.Your ResponsibilitiesDesign and implement VLA-based models tailored for autonomous driving, concentrating on planning, decision-making, and action generation.Utilize imitation learning, reinforcement learning, and generative modeling techniques to enhance driving behavior and facilitate long-term decision-making.Refine and adapt multimodal models (VLM/VLA architectures) for autonomous driving applications by leveraging extensive driving datasets.Define and assess multimodal representations for driving data, including video, bird's-eye view (BEV), maps, vehicle states, actions, and optional language annotations.Develop and maintain comprehensive end-to-end machine learning pipelines encompassing data curation, training, evaluation, and deployment stages.Test models in open-loop and closed-loop simulations, as well as real-vehicle environments, with a strong focus on safety and robustness.Work collaboratively with teams in perception, prediction, planning, control, and platform integration to embed machine learning models within production vehicle software systems.

Join Our Innovative TeamAt 42dot, we are on the cutting edge of autonomous driving technology. We are searching for a talented Control System Engineer to tackle challenging problems in the development of primitive control systems. You will collaborate with experts in motion planning, functional safety, hardware engineering, and other relevant fields to contribute to the creation of robust systems.Key ResponsibilitiesDesign, implement, and optimize longitudinal and lateral control systems for autonomous driving.Develop low-level control systems that translate high-level commands into precise actuator control for real-time autonomous driving tasks.Create estimation algorithms for critical vehicle parameters such as road slope, vehicle speed, and slip to enhance the accuracy and reliability of control systems.Work closely with engineers and teams focused on motion planning, behavior planning, and mission planning to ensure seamless system operation.

Join Our Innovative TeamAt 42dot, we are at the forefront of autonomous driving technology. Our Machine Learning (ML) Platform Engineers are instrumental in developing a robust data platform and machine learning training and evaluation systems that support advanced algorithms for autonomous driving. We focus on creating a scalable, distributed system capable of handling vast datasets, comprising millions of scenes, while also delivering high-performance SDKs for ML model training and evaluation. Our platforms significantly enhance the ML model development lifecycle, covering training, evaluation, deployment, and monitoring within cloud environments.Key ResponsibilitiesDesign and develop a highly scalable and reliable data platform to effectively manage, visualize, search, and serve extensive datasets for ML model training, fine-tuning, and validation.Create advanced autonomous driving data SDK functionalities, including scene data search, dataset preparation, and dataset loading.Establish a data lakehouse for autonomous driving scene datasets, integrating sensor data, calibration data, and annotation data.Identify and resolve performance bottlenecks across data processing pipelines, addressing data processing latency, search latency, and Test Procedure (TP) coverage.Set up and maintain infrastructure components for the data platform, including data processing pipelines, databases, data lakehouses, and data serving mechanisms.Work collaboratively with cross-functional teams, including ML algorithm, ML application, and Cloud Infrastructure teams, to ensure alignment of ML platforms with the overall architecture of the autonomous driving system.QualificationsA Bachelor's degree or higher in Computer Science, Engineering, Robotics, or a related technical discipline.A minimum of 5 years of experience in Data Engineering or ML Platform roles.Proficiency in Python with substantial experience in Python SDK development.Solid experience with databases such as MongoDB and PostgreSQL.Hands-on experience orchestrating data pipeline jobs using Databricks Workflows or Apache Airflow, along with integrating data pipelines with machine learning models.Extensive knowledge of data technologies and architectures, including Data Warehouses (e.g., Hive) and Lakehouses (e.g., Delta Lake).Experience with Apache Spark or other big data computing engines.

Join our innovative team at 42dot as a Senior MCU System Project Engineer where you will lead cutting-edge projects in the field of microcontroller systems. This role offers a unique opportunity to work on advanced technology solutions that drive our missions forward.Your expertise will be pivotal in overseeing project development stages, from conception to execution, ensuring that we meet our ambitious goals while adhering to industry standards.

About the Role 42dot is looking for a Senior Diagnostic System Integration Engineer to join the team in Pangyo at the Software Dream Center. This role focuses on developing and implementing advanced diagnostic systems that support project reliability and operational efficiency.

Join 42dot as a Security Engineer and be at the forefront of developing innovative vehicle intrusion detection systems. Your expertise will contribute to enhancing the safety and security of modern vehicles, ensuring robust protection against unauthorized access and breaches. Collaborate with a dynamic team of engineers and security specialists to design and implement cutting-edge solutions that safeguard our automotive technologies.

Join Our Innovative TeamAt 42dot, we are at the forefront of autonomous driving and Software Defined Vehicles (SDV). We seek a talented Hardware Engineer who will take charge of designing high-performance computing units, vehicle body systems, power control solutions, gateway controllers, and sensors. Your designs will meet efficiency, cost-effectiveness, reliability, and safety standards, making a significant impact on the automotive industry.Key Responsibilities:Develop power applications including DCDC converters and LDO regulators.Implement required interface applications such as CAN, LIN, and Auto Ethernet.Conduct and improve automotive reliability and electromagnetic tests.Execute hardware system bring-up tasks.Perform validation and enhancements on real vehicles.Support in the development and production of sample prototypes and respond to requirements.Vehicle Body / Power Control Unit Responsibilities:Design and validate MCU circuitry.Work on various vehicle sub-control IO applications.Implement digital key solution applications.Apply high-side gate drivers, switches, and high-power MOSFETs.Address thermal dissipation applications.Incorporate (e)Fuse applications.

Join Our Team of InnovatorsAt 42dot, we are at the forefront of autonomous driving technology, seeking exceptional Senior ML Platform Engineers to develop our core data and machine learning training platforms. Our team is dedicated to creating a distributed, scalable data platform that handles vast datasets, including millions of scenes, alongside high-performance data serving SDKs essential for ML model training and evaluation. Our platforms are designed to significantly enhance the efficiency of the ML model development lifecycle, which encompasses training, evaluation, deployment, and monitoring within a cloud environment.Key ResponsibilitiesDefine and implement the technical strategy for a robust, large-scale data platform that effectively manages, visualizes, and serves extensive datasets for machine learning model training and validation.Develop a comprehensive data lakehouse for autonomous driving scene datasets, integrating sensor, calibration, and annotation data.Lead the development of the Autonomous Driving Data SDK, which includes functionality for scene data searching, dataset preparation, and loading.Identify and resolve performance bottlenecks throughout data processing pipelines, focusing on data processing and search latencies as well as Test Procedure (TP) coverage.Establish and maintain the infrastructure for Data Platform components, including the Data Processing Pipeline, Database, Data Lakehouse, and Data Serving.Collaborate with cross-functional teams, including those focused on ML algorithms, applications, and Cloud Infrastructure, to ensure alignment of ML Platforms with the overarching Autonomous Driving System Architecture.QualificationsA Bachelor’s degree or higher in Computer Science, Engineering, Robotics, or a related technical field.At least 7 years of experience in Data Engineering or ML Platform roles.Expert-level proficiency in Python, with substantial experience in developing Python SDKs.Proficient experience with databases such as MongoDB and PostgreSQL.Deep understanding of modern AI frameworks like PyTorch and TensorFlow, particularly regarding distributed data loaders for model training.Hands-on experience orchestrating data pipelines using tools such as Databricks Workflows or Apache Airflow, along with integrating these pipelines with machine learning models.

Join Our Team of InnovatorsAt 42dot, we are pioneering a blockchain-based platform that aims to redefine mobility experiences for users. Our vision encompasses the development of a secure V2X Network, ensuring privacy through Self-Sovereign Identity (SSI) technologies, and creating a Trusted Data Sharing framework for data stored on the blockchain. We also focus on automating diverse business processes through smart contracts, making these innovations our core values as we move forward.Key Responsibilities:Design and implement Privacy-Enhancing technologies for blockchain-based systems.Qualifications:Strong understanding of Computer Science principles.Familiarity with Cryptography and Privacy Technologies.Experience in projects related to Privacy Technologies.Basic knowledge of Linear Algebra.Proficiency in at least one of the following programming languages: C, C++, Go, or Rust.A commitment to continuously enhancing skills relevant to the role.Possess qualities of humility, a results-driven mindset, and interpersonal intelligence.Ability to collaborate effectively with peers.Preferred Qualifications:Experience in projects involving Zero-Knowledge Proofs (ZKP), Differential Privacy (DP), or Multi-Party Computation (MPC).Involvement in Privacy-Preserving Data Sharing projects.Interview Process:Initial screening - Coding test - First interview (~1 hour) - Second interview (~3 hours) - Final offer.The process may vary based on the role and could be subject to changes in schedule.Interview dates and results will be communicated via the email provided in the application.Additional Information:Please exclude sensitive information from your resume, such as Social Security Number, family status, marital status, salary history, photographs, physical characteristics, and place of origin, as required by the hiring process law.All submitted files should be in PDF format and under 30MB. If you encounter issues while uploading your resume, please send it to recruit@42dot.ai along with the URL of the position you are applying for.Reference checks may be conducted with the candidate's consent after the interview process is complete.Veterans and individuals protected under employment laws will be given priority as per relevant regulations.Individuals with disabilities are encouraged to apply and will receive consideration under the Employment Promotion and Vocational Rehabilitation Act.42dot does not accept unsolicited resumes from recruitment agencies and will not pay a fee for unsolicited resumes.

Join Our Team of Innovators42dot is in search of a talented Senior Control System Engineer to tackle complex challenges in the autonomous driving sector. In this role, you will develop advanced control systems, collaborating closely with experts in motion planning, functional safety, hardware engineering, and related fields to deliver robust and reliable autonomous driving systems. You will spearhead the integration of various control algorithms and drive performance enhancements while leading a team of engineers.Key ResponsibilitiesLead the design, implementation, and optimization of longitudinal and lateral control systems for autonomous driving.Oversee the design and implementation of low-level control systems that translate high-level commands into specific actuator controls for real-time autonomous tasks.Develop and optimize estimation algorithms for key vehicle parameters such as road slope, vehicle speed, and slip to enhance the precision and reliability of the control system.Collaborate closely with teams focused on motion planning, behavior planning, and mission planning to ensure seamless system integration.Provide guidance on control architecture and system optimization while mentoring junior engineers.

Join 42dot as a Senior SLAM Engineer and play a pivotal role in revolutionizing autonomous driving technologies. You will be responsible for developing sophisticated algorithms that enable simultaneous localization and mapping (SLAM) for our cutting-edge autonomous vehicle systems.This position requires a blend of technical expertise and innovative thinking to tackle complex challenges in dynamic environments.

Join 42dot as a Media Framework Engineer and become an integral part of our innovative team dedicated to developing cutting-edge media solutions. You will work on exciting projects that push the boundaries of technology, collaborating with talented professionals in a dynamic environment.