Senior Camera System Software Engineer

Join Our Innovative Team!At 42dot, we are seeking a talented Senior Camera System Software Engineer to play a pivotal role in enhancing autonomous driving and infotainment systems through advanced embedded camera technology. You will be responsible for developing drivers and optimizing performance to bring our cutting-edge solutions to life.Key Responsibilit…

Join our dynamic team at 42dot as a Senior Test Automation Engineer. In this pivotal role, you will leverage your expertise in automation frameworks to enhance our software testing processes. You will work collaboratively with cross-functional teams to deliver high-quality software solutions that meet our clients' needs.

Join Our Team of InnovatorsAt 42dot, we are pioneering the future of urban mobility with our comprehensive platform, the Urban Mobility Operating System (UMOS). We are seeking a talented Software Engineer focused on Security Systems to enhance the security of our innovative products by implementing and managing essential security modules, tools, and systems.Key Responsibilities:Develop and integrate various security modules, tools, and systems to align with the 42dot projects and ensure robust security measures are in place.

Join Our Innovative Team!We are on the lookout for a talented Senior IVI OS Engineer specializing in camera systems to join our dynamic team at 42dot. In this role, you will be responsible for designing and optimizing critical features of our Android-based automotive camera systems. This includes managing the camera hardware interface, implementing remote video streaming, and developing camera-based applications tailored for automotive environments, ensuring the delivery of reliable and cutting-edge camera services.Key Responsibilities:Camera HAL and EVS HAL Integration: Develop and optimize Camera HAL (Camera3) and EVS HAL to ensure seamless hardware integration, customizing the Android HAL layer for specific purposes. Collaborate closely with app developers for compatibility with Camera2 API or EVS-based applications.Remote Camera Stream Integration: Work with system software engineers to process and handle camera streams received from remote devices, integrating them into the Android camera framework. Manage various real-time streaming protocols such as RTSP, RTCP, and WebRTC.Application Development: Utilize vehicle camera systems to create various applications, including Dash Cam (Black Box), which records and manages in-cabin driving footage, and Surround View systems that visualize 360° views around the vehicle while collaborating with UI/UX teams for high-performance implementations.

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 in search of a talented Senior MCU System Engineer specializing in Power Management and Sleep Wakeup. This role is crucial for the development of high-performance MCU-based zonal controllers that enhance the power efficiency of Software-Defined Vehicles (SDVs). You will be responsible for designing and developing system software that includes a hardware abstraction layer and system platform, ensuring reliable operation even in mission-critical scenarios.Key Responsibilities:Design and implement the Power State Machine for Zonal Controllers, covering states such as Initialization, Normal, Sleep, Standby, and Shutdown.Develop scenarios for entering and exiting Low Power Mode while optimizing for minimal Dark Current and Quiescent Current.Implement System Sleep/Wakeup logic and integrate with Network Management (CAN/LIN/Ethernet NM).

Join Our Innovative Team!At 42dot, we are seeking a talented Senior MCU System Engineer specializing in Cluster and Safety IC Control. In this pivotal role, you will develop high-performance MCU-based core system software for zonal controllers in Software-Defined Vehicles (SDV). Your mission will include reliably conveying critical driving information (such as speed and warning lights) and ensuring stable system operation in mission-critical scenarios.Key Responsibilities:Implement logic for processing and transmitting essential vehicle driving data (speed, RPM, Telltale) for the cluster display.Develop control drivers for Safety SBC/PMIC, managing registers and states via SPI/I2C communication.Manage the External Watchdog and implement Kick logic.Design and implement software safety mechanisms to achieve safety goals (in alignment with ASIL ratings).

Join Our Team as a Senior IVI System Engineer (Radio)At 42dot, we are dedicated to innovation in the automotive industry. As a Senior IVI System Engineer specializing in Radio, you will play a vital role in developing and optimizing the Board Support Package (BSP) for our vehicle infotainment systems on the Android platform. Your expertise will ensure support for various radio tuner devices including AM/FM, DAB, and HD Radio, delivering excellent reception quality and stable radio performance.Key Responsibilities:Develop device drivers for vehicle radio tuner hardware (AM/FM, DAB, HD Radio) interfacing with Android systems.Optimize and develop Linux kernel-based radio tuner device drivers.Implement and customize Android Radio HAL (HIDL/AIDL).Develop interfaces between HAL and kernel drivers, ensuring seamless integration.Debug and optimize for improved radio reception quality, performance, and stability.Collaborate with HW and Audio Framework teams for integrated development.Qualifications:Bachelor's degree in Computer Science, Electrical Engineering, Telecommunications, or a related field, or equivalent practical experience.Over 7 years of experience in Android or Linux embedded system development on ARM-based SoCs.Proven experience in Linux kernel and device driver development.Experience in Android platform development, including AOSP build systems.Familiarity with HIDL or AIDL-based HAL development.Strong skills in hardware specification interpretation and low-level debugging.Preferred Qualifications:Experience in mass production development of IVI systems at OEMs or Tier 1 suppliers.Customization experience with Radio HAL or related HAL.Experience with the development of radio tuner systems including AM/FM, DAB, HD Radio.Experience in controlling RF tuner chipsets and related interfaces (SPI, I2C, etc.).Experience in IVI system integration and debugging in automotive environments.Interview Process:Application screening - Video interview (approximately 1 hour) - On-site interview (approximately 3 hours including live coding test) - Final decision.The selection process may vary by position and is subject to change based on scheduling and circumstances.Interview dates and results will be communicated to the email provided in your application.Additional Information:Please exclude sensitive information such as personal identification numbers, family details, marital status, salary, photographs, physical conditions, or place of origin in your resume submission as per recruitment regulations.All submitted files should be in PDF format and under 30MB. If you encounter issues uploading your resume, please email it along with the URL of the position you are applying for to recruit@42dot.ai.After the interview process, we will ask for your consent to retain your information for future opportunities.

Join Us as an Audio DSP Engineer!At 42dot, we are in search of a talented Audio DSP Engineer dedicated to advancing audio signal processing and pre-processing technologies specifically tailored for automotive environments. You will enhance voice recognition and sound quality across various vehicle settings while delivering optimized solutions for OEM vehicles through proprietary tuning of preprocessing technologies such as AEC, AGC, and NR. Your contributions will bolster our competitiveness in Audio Intelligence and facilitate the successful implementation of Connect and Ambient AI systems.Key ResponsibilitiesDesign and optimize core audio signal processing algorithms, including AGC, AEC, and NR.Develop signal processing solutions tailored to specific vehicle conditions.Innovate voice recognition and signal separation technologies based on multi-microphone data to enhance recognition accuracy.Create scalable algorithms for diverse seating arrangements and environments.Support tuning and optimization of preprocessing technologies for various OEM vehicles.Assist in production projects, manage timelines, resolve technical requirements, and ensure adherence to schedules.Conduct signal quality testing and debugging to stabilize the system.Decrease dependence on outsourced solutions by internalizing technologies.Provide continuous maintenance and enhancement of technologies post-production.QualificationsExperience in designing audio signal processing and preprocessing algorithms (AGC, AEC, NR).Understanding or experience in voice recognition and signal separation.Proficiency in signal processing and algorithm implementation languages such as MATLAB, Python, or C/C++.Experience in DSP development and debugging skills.Experience in project management and requirement analysis in production settings.Ability to collaborate within teams and communicate effectively with external partners.Experience in developing automotive audio systems or related domains.Experience in researching or applying acoustic technologies in multi-microphone environments.Preferred QualificationsExperience in voice signal processing leveraging machine learning or deep learning.Experience in developing and tuning voice recognition systems (e.g., wake-up word).Experience in researching and implementing acoustic scenarios utilizing external microphones.Collaboration experience with OEMs or Tier 1 suppliers.Experience in validating audio systems and quality control during production stages.Creative problem-solving skills necessary for analyzing and resolving complex technical issues.A clear decision-making approach and the ability to collaborate effectively with team members.Interview ProcessApplication Review - Coding Test - Video Interview (approximately 1 hour) - In-person or Video Interview (approximately 3 hours) - Final OfferThe selection process may vary by position and is subject to change based on scheduling and circumstances.Dates and results of the interview process will be communicated individually via the email provided in the application.

Join Our Team at 42dotAt 42dot, we are seeking a talented Product Management System Implementation Project Manager to lead the transformation of our product development processes in the Software Defined Vehicle (SDV) sector. This role will focus on digitizing the entire product development lifecycle and designing data-driven decision-making frameworks that enhance our operational efficiency.As a pivotal member of our team, you will be responsible for establishing a Digital Foundation that seamlessly integrates Product Lifecycle Management (PLM), vehicle design, software definition, and manufacturing data. Your leadership will help bring 42dot's innovative engineering culture to life through effective systems implementation.

Join Our Team as a Product Management System ArchitectAt 42dot, we are on the hunt for a talented Product Management System Architect to lead the design of complex integrated systems that seamlessly bridge hardware and software within the realm of Software Defined Vehicles (SDV). You will play a pivotal role in structuring and managing data flows from product planning to mass production, ensuring data integrity and traceability to maximize our development speed.Key Responsibilities:Design end-to-end integrated architecture that connects PLM, ERP, MES, and SCM systems based on eBOM/mBOM structures and data modeling.Enhance engineering processes by designing workflows for product development and change management (ECM/ECR/ECN) to boost R&D efficiency.Implement and customize PLM solutions (such as 3DEXPERIENCE and Teamcenter) to meet evolving business needs.Establish data governance frameworks through Master Data Management (MDM) and Part Classification systems to ensure data accuracy and currency.Architect integration mechanisms with ECAD/EDA tools (e.g., Cadence, Altium) to facilitate comprehensive design data management.Optimize system performance, ensuring robust service stability with regular updates and patches.Qualifications:7 to 12 years of professional experience in PLM system design and operations.Proven expertise in one or more key PLM solutions (Teamcenter, Windchill, 3DEXPERIENCE, Aras).Strong data capabilities with a deep understanding of system architecture, data modeling, and SQL-based data analysis.Practical knowledge of product structure (BOM), change management, and configuration management processes in manufacturing or R&D settings.Excellent problem-solving skills with the ability to resolve data conflicts across complex systems.Preferred Qualifications:Experience integrating PLM with other enterprise systems like ERP/MES/SCM and executing data migration projects.Background in data modeling and integration with electrical/electronic design tools (including eBOM-mBOM systems).Proficiency in scripting and automation using Python, SQL, and JavaScript.Experience in Agile methodology and managing change processes in large organizations.Previous work in industries with complex manufacturing processes such as automotive, mobility, or electronics.Interview Process:Application Review - Virtual Interview (around 1 hour) - In-person or Virtual Interview (around 3 hours) - Final Offer.Note: The interview process may vary by role and is subject to change based on scheduling and other factors.

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.

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 as a Lead Audio DSP Engineer!At 42dot, we are on the lookout for an exceptional Lead Audio DSP Engineer to spearhead the development of audio signal processing and preprocessing technologies tailored for automotive environments. You will set strategic directions and lead a team dedicated to delivering optimized voice recognition and sound quality solutions. Your leadership will be crucial in internalizing preprocessing technologies (such as AEC, AGC, NR) and customizing tuning processes to provide tailored solutions for OEM vehicles, ensuring project timelines and quality targets are consistently met.Key Responsibilities:Design and optimize core audio signal processing algorithms, including AGC, AEC, and NR.Develop signal processing solutions adapted to various vehicle conditions.Advance seat-specific voice recognition and signal separation technologies based on multi-microphone data to enhance recognition accuracy.Create scalable algorithms suitable for diverse seating arrangements and environments.Support tuning and optimization of preprocessing technologies for specific OEM vehicles.Manage production project timelines and quality milestones, addressing technical requirements efficiently.Conduct signal quality testing, debugging, and system stabilization.Reduce reliance on outsourced solutions by fostering internal technical capabilities.Ensure continuous maintenance and enhancement of technologies post-production.

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 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.

Join Our Innovative TeamAt 42dot, we are seeking a talented and driven MCU Application Engineer to contribute to the development of high-performance MCU-based zonal controllers. In this role, you will design and develop functionalities to operate various vehicle sensors and actuators, facilitating coordinated control with other ECUs and providing standardized APIs for Software-Defined Vehicles (SDV).Key ResponsibilitiesDevelop Vehicle Hardware Abstraction Layer (HAL) based on SDV architecture.Design and implement control logic and diagnostic functions for MCU-based systems.Create cooperative control functionalities utilizing communication protocols such as CAN, LIN, and Ethernet.Control sensors and actuators through interfaces like ADC, PWM, SPI, UART, and I2C.Develop a diagnostic framework based on UDS and SOVD, along with in-house diagnostic applications for controllers.Required QualificationsProven experience in embedded software development projects.Experience in developing vehicle communication systems based on CAN/CAN FD, LIN, and Ethernet.Familiarity with ISO26262-compliant automotive control software design.Deep understanding of Real-Time Operating Systems and MCUs.Preferred QualificationsExperience in developing projects based on various real-time operating systems (open source or proprietary).Production experience with body, chassis, powertrain, IVI, and cluster controllers at OEMs or Tier 1 suppliers.Experience in developing motor control logic for applications such as power trunks and power windows.Familiarity with next-generation diagnostic protocols (SOVD, DoIP, gRPC) and cloud-linked diagnostic systems.

Join Our Innovative TeamWe are seeking a talented Embedded Hardware Engineer to contribute to the design and development of controllers and sensors for autonomous driving at 42dot. Our autonomous driving controllers integrate various sensors such as radar, GPS, IMU, and USS, utilizing high-performance processors and iNPU to enable safe and efficient driving through advanced perception, decision-making, and control capabilities. In this role, you will design complex hardware systems that meet performance, cost, reliability, and safety objectives.Key Responsibilities:Designing SOC/AP Application circuits.Creating power application circuits including DCDC and LDO.Implementing interface applications like CAN, LIN, and Auto Ethernet.Conducting automotive reliability and electromagnetic tests, followed by improvements.Performing compliance testing and enhancements.Bringing up hardware systems.Validating and refining hardware in real vehicle tests.Supporting development and production sample creation while addressing requirements.

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 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.