Senior AI Data Pipeline Engineer

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 infrastruct…

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 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 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 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.

42dot, part of Hyundai Motor Group's global software center, works at the intersection of mobility and artificial intelligence. The company develops software-defined vehicle solutions, drawing on vehicle and user data to refine mobility experiences through continuous feedback. Role overview This Data Engineer position is based in Pangyo, South Korea, at the Software Dream Center. The role focuses on building and maintaining systems that collect, process, and monitor data from vehicles and related sources. Main responsibilities Develop and maintain data collection and processing pipelines. Manage data schemas and operate data catalogs. Implement logic for data quality validation and automate anomaly detection. Configure dashboards and manage monitoring metrics for pipelines. Implement and test data ingestion logic. Requirements At least 3 years of software development experience, including a minimum of 1 year in data engineering. Proficiency in data processing with Python or JVM languages (Java, Scala, or Kotlin). Experience writing SQL queries and working with databases. Familiarity with Git for collaboration and code review. Preferred qualifications Experience with Apache Spark or Databricks. Familiarity with OLAP databases such as ClickHouse. Background working with messaging services like Kafka or AWS (Kinesis, SQS). Experience using monitoring tools (Grafana, Prometheus, or Loki). Hands-on experience with Docker and Kubernetes. Project work related to vehicles, mobility, or IoT. Development experience with AI coding tools (Cursor, Claude Code, Codex, etc.). Interview process Application review, coding test, video interview (about 1 hour), in-person or video interview (about 3 hours), final offer. The process may vary by position, and schedules can change depending on circumstances. Interview details and results are sent to the email address provided in the application. Additional information Do not include personal information such as ID numbers, family relations, marital status, salary history, photographs, physical attributes, or birthplace in your resume. Submit all files in PDF format, each under 30MB. If upload issues occur, send your resume to recruit@42dot.ai and include the job posting URL. Reference checks may be conducted after interviews, with the candidate's consent.

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 Team of Innovators!About UsAt 42dot, we are dedicated to tackling mobility challenges through cutting-edge software and artificial intelligence. As a part of the Hyundai Motor Group's global software center, we lead the way in the development of software-defined vehicles, paving the path for future mobility solutions.Our commitment to safety and user-centric software technology drives us to deliver the latest performance enhancements through continuous updates, akin to smartphone advancements. By advancing software and AI technologies, 42dot envisions a new world with connected and autonomously operated urban traffic management systems.Key ResponsibilitiesDevelop specifications and features for Connected Car Service (CCS) systems for 42dot controllers and legacy ECUs, focusing on OTA, diagnostics, and vehicle data collection functionalities.Create software middleware and application development for CCS, including MCU-based device drivers and Hardware Abstraction Layer (HAL) development.Design and implement OTA and diagnostic integration features across heterogeneous networks.Develop protocols and software for internal vehicle data collection and server uploads.Required QualificationsProven experience in embedded software development projects.Experience in developing vehicle diagnostic communication systems using UDS protocol.Deep understanding and project experience with OTA and diagnostic protocols.Strong knowledge of RTOS or Linux systems.Preferred QualificationsExperience in developing software for HKMC integrated communication controllers (CCU).Familiarity with developing CCU standard specifications (functional/system/diagnostic specifications) and deploying CCU across various vehicle models.Experience with diagnostic stack development in AUTOSAR or Linux systems.Interview ProcessApplication review - Coding test - Video interview (approximately 1 hour) - In-person or video interview (approximately 3 hours) - Final selection.The selection process may vary by role and is subject to change based on scheduling and circumstances.Interview schedules and results will be communicated individually via the email registered in your application.Additional InformationPlease refrain from including personal information such as social security numbers, family relations, marital status, salary, photos, physical conditions, or place of origin, as it is prohibited by recruitment regulations.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.Reference checks may be conducted with the candidate's consent after the interview process.Veterans and individuals eligible for employment protection will be given preference in accordance with relevant laws.Individuals with registered disabilities will also be prioritized under the Act on the Promotion of Employment for Persons with Disabilities.42dot does not accept unsolicited applications from recruitment agencies.

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 Innovative TeamAbout UsAt 42dot, our Gleo Interactor team is dedicated to transforming user experiences in Software-Defined Vehicles (SDV) through cutting-edge On-Device Agent Orchestration technology. Our goal is to realize Calm Technology, where Ambient AI leverages Generative AI (LLM) and Personal Context to understand user behavior and deliver relevant information seamlessly.We encourage experimentation with the latest LLMs and AI research trends, allowing you to gain hands-on experience in developing Agent SDKs and On-Device AI services. We seek passionate engineers eager to contribute to the future of mobility technology by creating intelligent AI agents.Our collaborative environment promotes open communication and knowledge sharing. Join us in various research and development loops, including paper reviews, model experiments, and user behavior analyses.

Join Our 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 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 Team of Innovators!About 42dotAt 42dot, our Gleo Core team is dedicated to advancing the core technologies of LLM and Agent systems applied in Gleo AI. Gleo is designed to facilitate natural and friendly conversations within vehicles, accurately processing user requests while offering a personalized experience through memory. We are on the lookout for an AI Engineer who will help develop new features driven by LLM and enhance the quality and efficiency of our services.Key ResponsibilitiesDesigning and developing core modules for LLM-based multi-agent systems (Planning, Function Calling, Memory, etc.)Analyzing service requirements and implementing Agents accordinglyTraining and optimizing post-training LLMs for service applicationsTraining embedding models for conversation/document data retrievalRequired QualificationsMaster's or PhD in LLM/NLP fieldPublication of at least one paper in leading journals/conferences in LLM/NLPProven programming skills to solve complex problems (Python etc.)Experience in training deep learning models on GPU (PyTorch, TensorFlow, etc.)Familiarity with Git-based collaboration processes for efficient version control and code reviewsSkills in Prompt/Context EngineeringPreferred QualificationsExperience in developing and operating commercial AI servicesExpertise in AI service cost optimizationUnderstanding of and experience with infrastructure and backend systemsInterest and experience in conversational AI services with insightsProficiency in multiple languages, including Korean, English, French, Spanish, etc.Proven ability to define problems and propose proactive solutionsExperience leading or mentoring small teamsEnjoys collaboration with colleagues from diverse backgrounds and perspectivesInterview ProcessApplication screening - Coding test - Video interview (approximately 1 hour) - In-person or video interview (approximately 3 hours) - Final selectionThe process may vary by role and is subject to change based on scheduling and circumstances.Interview schedules and outcomes will be communicated via the email you provided in your application.Additional InformationPlease refrain from including personal information such as ID numbers, family relations, marital status, salary, photographs, physical conditions, or hometown in your resume as per employment regulations.All submitted files should be in PDF format and under 30MB.

Join Our Team of InnovatorsAt 42dot, we are dedicated to designing and enhancing cloud-based infrastructure to ensure the reliable operation of global services. Our focus is on building a flexible and scalable platform utilizing Kubernetes and hybrid clouds, while prioritizing automation and monitoring to improve system reliability and operational efficiency.We seek an experienced engineer who goes beyond simple maintenance to enhance developer productivity, address root causes of incidents, and create superior infrastructure environments.

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

Autonomous Driving EngineeringAt 42dot, we are pioneering the development of camera-based, end-to-end autonomous driving software and high-performance, low-power embedded systems. We've established an advanced MLOps infrastructure that automates our data pipelines, enabling rapid iterations from AI model training to real-world validation. Our autonomous driving technology, 'Atria AI', is set to be implemented in mass-produced vehicles with Level 2+ autonomy by the end of 2027.Join us for a unique opportunity to engage with camera-based end-to-end autonomous driving and Physical AI, contributing to next-generation algorithms based on VLA. We are looking for tenacious and proactive individuals ready to change the world!Role OverviewThis position is for a full-time transition internship (MS/PhD), focusing on connecting research outcomes to practical autonomous driving systems through hands-on development and research.During the internship, you will not just assist but actively engage in product development aimed at mass production. You will work within a cutting-edge research team, defining and solving problems using real vehicle data, production-level code, and MLOps systems. You will undertake technical challenges equivalent to full-time engineers, gaining invaluable experience linking research with practical implementations.What You'll DoDesign, implement, and validate core technologies for autonomous driving systems end-to-end.Develop and validate algorithms/models based on real vehicle data.Analyze and enhance performance through simulations and real-world experiments.Implement research findings into practical systems.Collaborate closely with production teams to solve real-world challenges.Available TracksYour role and department will be determined based on your expertise, research interests, and career aspirations assessed during the internship and interview process.[Physical AI]Implementation and experimentation of perception and behavior prediction ML models for autonomous driving.Preprocessing driving data and organizing/analyzing training datasets.Evaluation of model performance and analysis of experimental results.Consolidation of failure cases and experimentation for performance enhancement.[Sensor Fusion]Implementation of object-level fusion and tracking using results from cameras and other sensors.Performance analysis and log analysis based on real vehicle data.Understanding and improving fusion logic structures in C++ based real-time systems.[SLAM]Research and development of SLAM and localization algorithms for autonomous driving.Basic location estimation and map creation using sensor data from cameras and IMUs.Accuracy and stability analysis based on real or simulated data.[AI Infrastructure]Development of AI infrastructure to support autonomous driving systems.

Join 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 Team of Innovators!About UsAt 42dot, we are at the forefront of addressing mobility challenges through advanced software and artificial intelligence. As a pivotal player within the Hyundai Motor Group's Global Software Center, we are pioneering the development of software-defined vehicles and shaping the future of mobility.Our data analytics team is dedicated to extracting valuable insights from the data generated by vehicles and their users, creating a feedback loop that enhances user experience continuously.Key ResponsibilitiesDesign and develop algorithms for detecting various safety-related events during vehicle operation, including incidents, risky driving behaviors, and mechanical failures.Implement the developed algorithms into Linux-based embedded software and integrate them into the Vehicle Operating System.QualificationsExperience in event detection (classification, anomaly detection, change point detection) or scoring model development using driving/sensor time-series data.Proficient in application development, debugging, and performance tuning in Linux environments (smart devices, automotive systems).Strong programming skills in C/C++, Rust, Shell, and Python.Preferred QualificationsFamiliarity with Yocto-based build systems and CI/CD processes.Experience with automotive protocols and stacks.Development experience in autonomous driving systems involving camera, LiDAR, and radar sensors.Knowledge of ISO-26262 and MISRA C/C++ standards.Interview ProcessApplication review - Video interview (approximately 1 hour) - In-person or video interview (approximately 3 hours) - Final selection.The process may vary by position and can change based on scheduling and 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 relationships, marital status, salary, photo, physical conditions, and place of origin from 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 send it, along with the URL of the position you are applying for, to recruit@42dot.ai.Following the interview process, reference checks may be conducted with your consent.Candidates with national veterans' status and those entitled to employment protection will be given preference in accordance with relevant laws.Individuals with disabilities holding a disability registration certificate will be given preference under the Employment Promotion and Vocational Rehabilitation Act.42dot does not accept unsolicited resumes from recruitment agencies and will not pay fees for unsolicited resumes.※ Please ensure to review the following before applying.Learn more about how 42dot operates...

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 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 transformation and utility. Our commitment to excellence ensures that our software systems adhere to the highest standards of automotive reliability and safety from initial design through to deployment.Key ResponsibilitiesDesign and implement middleware software solutions that support critical safety features in autonomous driving systems.Exhibit a deep understanding of ADAS system architecture, middleware pipelines, and performance optimization techniques.Develop software for diverse and distributed systems operating on Linux and RTOS platforms (e.g., FreeRTOS); familiarity with both environments is advantageous.Utilize knowledge of ISO 26262 and related development standards to ensure compliance with automotive safety protocols.Create and maintain development tools to aid in debugging, testing, and validation processes.Participate in design and code reviews, contributing to technical evaluations, design discussions, and crucial decision-making processes.Engage throughout all stages of the software development lifecycle, including requirements analysis, system design, implementation, testing, code review, and deployment.Collaborate with application developers and cross-functional teams to ensure effective middleware integration.Work efficiently with remote teams across various countries and time zones.