Senior Software Engineer - AD Framework

Join Our Innovative TeamAt 42dot, we are on a mission to revolutionize autonomous driving technology. Our AD Framework Software Engineers play a pivotal role in developing the key middleware systems that power autonomous vehicles. We focus on crafting real-time communication frameworks, execution systems, and essential libraries that facilitate data transfor…

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.

42dot is looking for an IVI OS Engineer focused on System Framework to join the team in Pangyo, South Korea. This position centers on building and improving in-vehicle infotainment (IVI) systems. Role overview This role involves developing system frameworks that support advanced infotainment features in vehicles. The work directly shapes how drivers and passengers interact with in-car technology. What you will do Contribute to the design and implementation of IVI system frameworks Help improve user experiences within automotive infotainment platforms Support ongoing technological progress in the in-vehicle OS space Location This position is based at the Software Dream Center in Pangyo, South Korea.

Join Our Team of InnovatorsAt 42dot, we are seeking an exceptional Senior IVI System Engineer specializing in Audio to enhance the in-vehicle infotainment systems (IVI) on Android platforms for Software Defined Vehicles (SDV). You will play a pivotal role in developing and optimizing the Board Support Package (BSP) for audio systems.Key Responsibilities:Develop drivers for vehicle audio hardware (DSP, Amplifiers, Speakers, etc.) to interface with Android systems.Create and optimize sound drivers based on the Advanced Linux Sound Architecture (ALSA).Implement and customize the Audio Hardware Abstraction Layer (HAL).Develop specialized audio functionalities for vehicles, such as Zone Audio, Audio Routing, and Volume Control.

Join 42dot as a Telematics Software Engineer and contribute to the development of innovative telematics solutions. In this role, you will collaborate with cross-functional teams to design, implement, and optimize software for vehicle telematics systems.

42dot, part of Hyundai Motor Group's global software center, develops software-defined vehicle and mobility AI solutions. The team focuses on user-centric vehicle technologies that receive ongoing updates, aiming to create a connected and autonomous urban transportation system. Every project is guided by priorities of safety and innovation. Role overview This Senior Network Systems Software Engineer role is based at the Software Dream Center in Pangyo, South Korea. The position focuses on developing network systems software for embedded operating systems used in automotive environments. Day-to-day work combines hands-on engineering with technical problem-solving as part of a growing team. What you will do Build and optimize network functionalities for embedded OS platforms such as QNX, Linux, and RTOS, including network configuration tasks. Develop and manage drivers for Automotive Ethernet Switches, including porting, configuring, and optimizing Ethernet Switch SDKs for new hardware platforms. Troubleshoot and resolve Ethernet/IP communication issues within vehicle networks. Requirements 10 or more years of embedded software development experience using C or C++. Solid understanding of the OSI 7-layer model. Hands-on experience with L2 protocols, such as VLAN, ACL, Multicast, STP/RSTP, and gPTP. Expertise in Ethernet MAC/PHY interfaces. Deep knowledge of the TCP/IP stack. Basic familiarity with reading hardware schematics. Preferred qualifications Experience working with OPEN TC10 features. Implementation and validation of TSN standards (802.1AS, 802.1CB, 802.1Qbv/Qbu). Understanding of automotive security, including IPsec, MACsec, and IDS/IPS. Development experience related to 10BASE-T1S communication. Background working with Ethernet switches from Broadcom, Infineon, NXP, or RealTek. Interview process Application review Video interview (about 1 hour) In-person interview, including a live coding test (approximately 3 hours) Final acceptance The process may vary depending on the role and scheduling. All communication about interviews and results will be sent to the email address provided in the application. Additional information Do not include sensitive information such as national ID number, family relations, marital status, salary, photo, physical conditions, or place of origin in your resume, as required by recruitment law. Submit all documents in PDF format, under 30MB. If upload issues occur, email your resume to recruit@42dot.ai and include the job posting URL. Reference checks may be conducted after interviews, with your consent. Veterans and job protection candidates receive preference as required by law.

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.

Join 42dot as a QNX Expert Engineer and be a pivotal part of our innovative team in the heart of Pangyo, South Korea. We are seeking a highly skilled engineer with expertise in QNX to contribute to our cutting-edge projects, focusing on embedded systems and real-time applications.As a QNX Expert Engineer, you will collaborate with a dynamic team to design, develop, and optimize software solutions that meet our clients' needs. Your role will involve troubleshooting complex issues and implementing best practices to ensure the reliability and performance of our products.

42dot, part of Hyundai Motor Group, develops software and artificial intelligence to address transportation challenges. The team focuses on building software-defined vehicles and advancing mobility solutions. The data analytics group at 42dot works with vehicle and user data, creating feedback loops that help improve user experience and services over time. Role overview This Senior Data Engineer position is based at the Software Dream Center in Pangyo, South Korea. The role centers on designing, building, and managing large-scale data systems that support vehicle and mobility applications. Main responsibilities Design and oversee large-scale vehicle data collection and processing pipelines. Architect and optimize both batch and streaming data systems for improved performance. Develop and automate frameworks to manage data quality. Build and maintain observability frameworks for data platforms. Guide technical decisions and mentor junior engineers on the team. Collaborate with other teams to clarify and align on data requirements. Required qualifications Minimum 8 years of software development experience, including at least 3 years in data engineering roles. Direct experience designing and operating large-scale data pipelines (handling over 100 million records daily). Proven ability to design architectures for batch and streaming data processing. Skilled in building data pipelines using Python or JVM languages (Java, Scala, Kotlin). Strong background in data modeling and analysis with SQL. Experience managing data infrastructure in cloud or on-premises environments. Preferred qualifications Experience with Databricks or Apache Spark for large-scale data processing and performance tuning. Background in building real-time data pipelines using Kafka or similar technologies. Hands-on experience with OLAP databases such as ClickHouse. Familiarity with observability frameworks based on Grafana LGTM (Loki, Mimir, Tempo). Knowledge of data governance and automating data quality processes. Experience deploying and managing services on Kubernetes. Experience with pipeline orchestration tools like Airflow. Work experience in vehicle, mobility, or IoT data pipeline environments. Familiarity with AI coding agents (Claude Code, Cursor, Codex) to support development and automate workflows. Interview process Initial application review and a coding test. Video interview (approximately 1 hour). In-person or video interview (approximately 3 hours). Final acceptance. Steps may vary by role, and schedules can change depending on circumstances. Interview details and results are communicated individually via the email address provided in the application.

Join Our Innovative Team!As an AI Fusion Engineer at 42dot, you will play a crucial role in developing advanced perception systems for autonomous driving. Your primary responsibility will be to integrate various cognitive results generated from autonomous driving perception systems on an object-by-object basis. This involves estimating consistent and reliable states such as the position, speed, classification, and existence of objects surrounding the vehicle.The fusion process goes beyond mere sensor integration; it entails combining cognitive results from the same sensor/multi-camera/multiple AI models/different representations (e.g., 2D, 3D) into a single interpretation using perception-level and AI-result-level fusion. You will be responsible for everything from algorithm design to real-time implementation in C++ and performance optimization.Key ResponsibilitiesDesign and implement object-level fusion and tracking logic using cognitive results from identical or diverse sensors (e.g., single/multiple cameras, camera-radar).Develop fusion logic to integrate various cognitive results on an object basis (e.g., combining 2D/3D results, multi-camera integration, camera-radar fusion).Manage object associations, track management, and lifecycle management.Ensure consistent state estimations regarding object position, speed, classification, and presence.Uncertainty-aware FusionDesign fusion strategies that consider uncertainty and confidence based on sensor and AI model characteristics.Resolve inconsistencies between cognitive results with different representations and observation points.Enhance fusion logic to reduce duplicate objects and false positives/negatives.Real-time Implementation and Performance OptimizationImplement real-time fusion/tracking algorithms based on C++.Optimize performance considering latency, CPU usage, and memory footprint.Adjust trade-offs between accuracy and responsiveness under real-time constraints.Performance Evaluation and ToolingDefine metrics to evaluate object fusion and tracking performance.Conduct performance analysis based on large-scale logs and scenario-specific validations.Establish an automated performance evaluation and regression testing environment.

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.

Join Our Innovative TeamAt 42dot, we are on the lookout for a talented Performance Optimization Engineer to enhance our core products through rigorous performance analysis and optimization efforts. This role encompasses a broad range of optimization capabilities, focusing on our autonomous driving stack, cloud-based services, and networking.Key Responsibilities:Conduct thorough performance analysis and evaluations, identifying bottlenecks in software and systems.Review code, algorithms, and data structures to uncover opportunities for performance enhancements.Optimize code written in various programming languages, ensuring efficiency and effectiveness.Utilize performance testing techniques to uncover software performance issues and develop strategies for resolution.Analyze server and network configurations to find optimization opportunities, maximizing hardware resource utilization.Quickly address performance issues in operational systems and monitor performance metrics to prevent future problems.

Join Our Team as an IVI OS Engineer (Network)At 42dot, we are on the lookout for exceptional talent to join our engineering team. As an IVI OS Engineer specializing in networking, you will play a crucial role in customizing and optimizing Ethernet, Wi-Fi, and telephony frameworks for Android-based devices. Your work will ensure reliable communication and control between vehicle systems via Ethernet.This position requires a deep understanding of network manipulation techniques, experience with HAL implementations, and a solid grasp of the networking architecture within Android Automotive OS.About Us42dot is a pioneering mobility AI company dedicated to solving mobility challenges through innovative software and AI solutions. As part of the global software center of Hyundai Motor Group, we are at the forefront of developing software-defined vehicles and shaping the future of mobility.We prioritize safety and focus on user-centric technology, providing continuous updates for optimal performance, much like a smartphone. Through advancements in software and AI, 42dot envisions a new world with interconnected and autonomously operating urban transportation systems.Key ResponsibilitiesCustomizing and Optimizing Ethernet Framework: Tailor the Ethernet communication framework between Android devices and other vehicle systems for optimal performance and reliability.Network Manipulation and Tuning: Utilize various networking techniques such as packet filtering, routing tables, IP rules, VPN, and proxy settings to establish the best network environment within an Android-based context.Remote Radio/Wi-Fi HAL Integration: Implement and manage remote radio interface HAL and remote Wi-Fi HAL, ensuring stable operations through external modems or integrated wireless devices.Understanding Vehicle Network Stack: Provide optimal network paths by leveraging your knowledge of various network types supported by Android Automotive OS, including PANS, OEM networks, and standard internet networks.

Join Our Innovative TeamAt 42dot, we are on a mission to bridge the gap between app developers and users in the mobility ecosystem through our Pleos App Market and Playground. We are seeking a talented Backend Engineer to play a pivotal role in building and enhancing the ecosystem of our App Market and Playground.Key Responsibilities:Design and develop a scalable backend for the IVI App Market within a cloud environment.Architect and implement REST APIs to facilitate app integration with the IVI store.Develop systems to establish a third-party ecosystem in alignment with global expansion efforts.Design and implement various functionalities that validate high levels of automotive security.