Quality Assurance Engineer for SDV Operation Platform

Join 42dot as a Quality Assurance Engineer for our SDV Operation Platform. In this role, you will be responsible for ensuring the highest quality standards in our software products. You will develop and execute test plans, identify bugs, and collaborate with development teams to improve product functionality.

Join Our Innovative TeamAbout UsAt 42dot, we are 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 lead the development of software-defined vehicles, shaping the future of mobility.Our commitment to safety and user-centric software-defined vehicle technologies ensures that we deliver the latest performance through continuous updates, similar to smartphones. By advancing software and AI technologies, we are envisioning a new world through a self-managing urban transportation operating system where everything is interconnected and autonomously navigated.Key ResponsibilitiesDesign and develop the backend for Connected Car Data Collection (CCDC).Create a policy-based vehicle data collection system.Develop an Over-The-Air (OTA) update management system.Design and develop APIs for vehicle data management, covering vehicle information, status, and metadata.Build a data catalog and preset management system.Integrate communication protocols between vehicles and the cloud.Implement domain models based on Hexagonal Architecture.QualificationsAt least 3 years of experience in developing web applications using Kotlin or Java with Spring Boot.Experience with RDBMS (PostgreSQL, MySQL, etc.) and query optimization.Proficiency in designing and developing RESTful APIs.Experience in collaborative coding and code reviews using Git.Familiarity with writing unit and integration tests.Preferred QualificationsExperience in IoT platform development, including device communication, OTA, and remote configuration management.Familiarity with architectural patterns such as Hexagonal Architecture, Clean Architecture, or Domain-Driven Design (DDD).Experience in developing Software-as-a-Service (SaaS) or Platform-as-a-Service (PaaS) solutions.Experience developing OpenAPIs with OAuth2-based authentication and authorization management.Experience with microservices architecture design and development.Experience in building and operating CI/CD pipelines.Interview ProcessApplication review - Video interview (approximately 1 hour) - In-person or video interview (approximately 3 hours) - Final selection.The process may vary by role, and schedule changes may occur.Details of the schedule and results will be communicated via the email provided in your application.Additional InformationPlease refrain from including sensitive information such as your resident registration number, family relations, marital status, salary, photo, physical conditions, or place of origin in your resume, as these are prohibited by recruitment regulations.All submitted files must be under 3MB.

Join Our Team of InnovatorsAs a dedicated Quality Assurance Engineer focusing on IVI (In-Vehicle Infotainment) systems, you will validate the software functionality, performance, and integration quality of vehicle-based IVI systems. Utilizing both real vehicles and testing equipment, you will assess UI/HMI responsiveness, network connectivity, and backend integration stability, deriving improvement suggestions based on quality metrics.Key ResponsibilitiesEstablish test plans and develop test cases through requirements analysis.Validate the overall functionality, performance, and UX quality of the IVI system and prepare comprehensive reports on results.Conduct integrated validation of internal vehicle functions and external services (mobile, cloud, etc.).Enhance testing efficiency through automation and CI/CD environments.Elevate the validation process through quality analysis and improvement activities.

Join our dynamic team at 42dot as a Quality Assurance Engineer specializing in the App Market. In this role, you will ensure the highest quality of our applications by implementing rigorous testing methodologies and collaborating with developers to enhance user experience. Your expertise will directly contribute to our mission of delivering exceptional software solutions.

Join our innovative team at 42dot as a Quality Assurance Engineer focusing on HVAC and thermal systems. You will play a pivotal role in ensuring our products meet the highest standards of quality. Your contributions will directly impact our commitment to excellence and customer satisfaction.

Join 42dot as a Vehicle Software Quality Engineer and be part of a dynamic team dedicated to enhancing the quality and performance of automotive software solutions. You will play a crucial role in ensuring that our software meets the highest standards of quality through rigorous testing and evaluation processes.Your expertise in software quality assurance will help us deliver innovative solutions that drive the future of mobility.

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 fabrication of mechanical components.Ensure physical integration and compatibility among diverse system components.Collaborate with cross-functional teams to establish design requirements, constraints, and manufacturability.Draft and manage technical specifications and documentation for components and systems.Support prototype development and testing activities.Employ creative solutions to resolve challenges and streamline processes through efficient design.

Join Our Team of Innovators!At 42dot, we are at the forefront of developing cutting-edge vehicle applications based on Software-Defined Vehicle (SDV) architecture. As a Vehicle Application Engineer, you will design and implement a diverse range of automotive applications, focusing on critical functionalities such as vehicle control, user interfaces (UI), user management, remote control, and data collection and analysis. Utilizing distributed messaging frameworks and fault tolerance structures, you will create reliable and scalable applications that enhance the driving experience.Check out Pleos: Link

Join Our Team as a System Framework Engineer!At 42dot, we are seeking a talented System Framework Engineer to design and develop a robust common system framework for SDV (Software-Defined Vehicle) applications and services. You will be responsible for implementing and optimizing essential frameworks, including standard interfaces within distributed systems, system resource management, distributed messaging frameworks, lifecycle management, and fault tolerance frameworks.Key Responsibilities:Design and develop the system framework for Pleos Vehicle OS.Optimize, maintain, and ensure quality of the system framework for Pleos Vehicle OS.

Join Our Team of InnovatorsThe Vehicle System Integration Engineer will play a pivotal role in the continuous integration and validation of various systems within Software Defined Vehicles (SDV) at the vehicle level. This position involves meticulous tracking and management of vehicle issues that arise during integration processes and field tests, significantly enhancing the overall quality and reliability of vehicle systems.Key Responsibilities:Vehicle System Integration:Develop strategies for vehicle-level system integration.Analyze requirements and define/tracking system specifications.Create and execute system integration test cases, including test automation development.Validate system integration and report issues.Analyze and manage integration issues.Vehicle System Management:Enhance vehicle system configuration management processes.Establish and manage vehicle system deployment strategies.Monitor system status and manage issues throughout development phases.Conduct impact analysis and risk management on changes.Issue Management:Analyze vehicle system issues and perform troubleshooting.Manage traceability of vehicle system issues.Validate improvements for vehicle system issues.

Join Our Team of InnovatorsAt 42dot, we are at the forefront of the software-defined vehicle (SDV) era, pioneering an integrated mobility platform that encompasses Vehicle Architecture, Connect IVI OS, and the Pleos App Market. Our vertical integration approach fosters a collaborative ecosystem where vehicles, developers, and data evolve together.The Senior Global Entity & Portfolio Management role is crucial in overseeing our global subsidiaries, managing their alignment with corporate strategy, product development, and technology roadmaps. You will be responsible for optimizing our corporate portfolio, standardizing operations across domestic and international branches, and ensuring compliance with regulations while driving global expansion.Key ResponsibilitiesStandardize operations across domestic and international entities, aligning with headquarters policies and processes.Ensure consistency in manpower, organization, and budget across branches while resolving key operational issues.Align subsidiary strategies with corporate product, technology, and business development strategies, managing the KPI framework.Monitor subsidiary and branch performance, reporting to executives and implementing corrective actions when targets are not met.Administer the overall Global Entity Portfolio including structure, roles, redundancy, and synergy analysis.Plan and execute Quarterly Entity Reviews (QER), managing key risks and performance metrics.Collaborate on subsidiary business plans and document board and performance reports.Develop strategies for global expansion, including establishment and operation of legal entities and branches.Implement compliance systems for global regulations (e.g., EAR/ECRA) and analyze regional regulatory risks.Act as a communication hub between headquarters and branches, coordinating key stakeholders.QualificationsBachelor's degree or higher in Business Administration, Industrial Engineering, Technology Management, or a related field.A minimum of 8 years of experience in global operations, subsidiary management, or business strategy.Proven experience in connecting product strategy with business strategy, managing KPIs and performance frameworks.Strong ability to coordinate and communicate with complex stakeholders and multi-regional organizations.Data-driven analytical skills, strategic thinking, and problem-solving capabilities.Excellent executive communication, documentation, and reporting skills.Preferred QualificationsExperience in operating global subsidiaries or executing strategies within a matrix organization.Understanding of trends in mobility, smart cities, autonomous driving, and IT technologies.Experience in responding to global regulations and developing policy-based business strategies.Interview ProcessApplication screening - First interview (approximately 1 hour) - Second interview (approximately 3 hours) - Final selection.The process may vary by role, and schedules are subject to change.Details regarding the interview schedule and results will be communicated via the email provided in your application.

We are seeking a dedicated and proactive Collaboration Platform Transition Operations Manager for a 6-month contract position at 42dot. This role is essential in facilitating the successful transition and operation of our collaboration platform.The ideal candidate will possess a unique blend of technical expertise and strong operational management skills. You will be responsible for overseeing the implementation process, ensuring that all project milestones are met while maintaining effective communication across teams.

Join Our Dynamic Team!At 42dot, our Open Platform Engineering team is at the forefront of managing a multitude of APIs, ensuring robust security and flexibility. We tackle complex technological challenges ranging from authentication and authorization systems to high-availability platform operations and API governance.Key ResponsibilitiesDevelop security policies and access control logic tailored to external traffic flows, with a solid understanding of API Gateway and service interconnectivity.Lead the design of backend architecture focusing on stability, security, and scalability while enhancing code quality.Design and implement authentication and authorization flows for users interacting with our APIs.QualificationsExperience with Tyk or similar API Gateways, including operation and customization.Understanding or experience in Identity & Access Management domains (authentication, authorization, user management, permission models).Familiarity with authentication and authorization standards such as OAuth 2.0 and OpenID Connect.Hands-on experience with API security, access control, and traffic management.Experience in designing and refactoring systems with a focus on stability, security, and scalability.Strong communication and collaboration skills with various stakeholders.Preferred QualificationsExperience in designing and operating high-performance, high-availability architectures for authentication and authorization systems.Experience designing authentication flows tailored for external partners or diverse client environments.Experience in designing and operating complex permission models such as RBAC and ABAC.Experience with security integration in cloud-native environments using Kubernetes, Istio, Envoy.Operational experience with enterprise security features like audit logging and policy-based access control.Experience in conducting PoCs for new technology adoption and improvements.Interview ProcessApplication screening - coding test - video interview (approx. 1 hour) - in-person or video interview (approx. 3 hours) - final acceptance.The process may vary based on the position and can change depending on scheduling and circumstances.Interview schedules and results will be communicated to the email provided in your application.Additional InformationPlease exclude personal information such as social security numbers, family relations, marital status, salary expectations, photos, physical conditions, and hometown from your resume as per hiring regulations.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 job position URL.After the interview process, a reference check may be conducted with your consent.Candidates who are veterans or belong to protected employment groups will be given preference in accordance with applicable laws.Candidates with a disability registration certificate will be given preference as per the law promoting employment and vocational rehabilitation of individuals with disabilities.

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 42dot as a Frontend Engineer, where you will play a pivotal role in developing and enhancing our Agentic AI Platform. You will collaborate with cross-functional teams to create intuitive, user-friendly interfaces that leverage cutting-edge technology. Your expertise will help shape the future of AI-driven applications, delivering exceptional user experiences.

Join our innovative team at 42dot as a Senior Backend Engineer, where you will play a pivotal role in the development of our cutting-edge Agentic AI Platform. In this position, you will leverage your expertise in backend technologies to create scalable solutions that enhance our AI capabilities.

Join Our 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 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 42dot as a Platform Technical Program Manager in our innovative Pleos Playground team. In this pivotal role, you will lead and manage cross-functional technical programs, ensuring that our platform continues to evolve and meet the needs of our users. Your expertise will guide teams in delivering high-quality solutions and maintaining a seamless user experience.As a vital player in our organization, you will collaborate with engineering, product, and design teams to drive project success. Your strategic oversight will help us enhance our technological capabilities and provide our clients with top-notch services.

Join Our Innovative Team!At 42dot, we are on the lookout for an exceptional AI Infrastructure Engineer to oversee our cutting-edge AI infrastructure. You will manage a high-performance setup that orchestrates thousands of GPUs across various data centers, ensuring our computing environment remains world-class through effective scaling, monitoring, and operational optimization.