Machine Learning Platform Engineer for Autonomous Driving

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…

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 searching for a highly skilled Perception Team Lead to take charge of the core perception technologies essential for autonomous vehicles. You will leverage advanced computer vision and machine learning techniques to interpret visual data from various sensors, including cameras and LiDAR, to design and implement an autonomous perception system that achieves human-level reliability and scalability.This position not only defines the technological direction and roadmap but also involves hands-on leadership in developing core perception algorithms and systems. As a technical leader, you will be responsible for ensuring the technical excellence of the team and mentoring team members to foster their growth.About 42dot42dot is 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 are at the forefront of developing software-defined vehicles and shaping the future of mobility.We prioritize safety and develop user-centric software-defined vehicle technologies that provide continuous updates for optimal performance, akin to a smartphone experience. By advancing software and AI technologies, 42dot envisions a new world through an autonomously managed urban traffic operation system where everything is interconnected and moves autonomously.Key Responsibilities1. Technical and Architectural Leadership- Establish and guide the technical roadmap for perception/computer vision technologies for autonomous driving- Actively participate in the design, validation, and enhancement of algorithms based on 3D computer vision and machine learning- Design scalable and robust perception system architectures considering large datasets and real-world environments- Lead the transition from research to production for applying research findings to actual products/platforms- Drive technical decision-making and problem-solving for performance, latency, and stability issues.2. Core Technology Areas- Object detection, pose estimation, tracking, and motion understanding- Multi-sensor perception (Camera, LiDAR, Radar, GPS, IMU, etc.)- Efficient and scalable vision systems for real-time autonomous driving- Vision-based robotics and physics-based/low-level vision approaches- Algorithm and system optimization considering performance, latency, and stability3. Team and Project Leadership- Lead technical decision-making and reviews for core code, algorithms, and research within the perception team- Mentor team members to support their technical growth- Collaborate closely with related teams in product, systems, robotics, and vehicle platforms- Manage project schedules, priorities, and identify as well as resolve risks.QualificationsMinimum 8 years of relevant industry experience or equivalent research/development experience (PhD preferred)Deep theoretical understanding and practical application experience in computer vision and machine learningProficient programming skills in large codebases (C/C++, Python, etc.)Leadership and communication skills to structure complex problems and make technical decisionsPreferred QualificationsExperience leading Perception/AI systems in autonomous driving or roboticsExperience in developing multi-sensor based perception systems (Camera, LiDAR, Radar, GPS, IMU, etc.)Experience with real-time systems, parallel programming, and performance optimizationDevelopment experience related to VR/AR or 3D graphics/simulation; publication, patents, open-source contributions, or academic activity history (CVPR, ICCV, ECCV, IJCV, TPAMI, TIP, etc.)Interview ProcessInitial phone screening followed by technical interviews and team fit discussions.

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 Our Innovative Team!At 42dot, we are dedicated to creating cutting-edge software that delivers a safe and comfortable autonomous driving experience for users. You will collaborate with a diverse team of SDV experts to implement various features aimed at optimizing user experiences in autonomous driving and deploying them in vehicles.Key ResponsibilitiesDevelop and implement software features related to autonomous driving to enhance user experience.Monitor vehicle status to ensure a safe driving experience.Integrate software within vehicles and contribute to overall software quality improvement.Collaborate with various teams to ensure feature interoperability.Profile and optimize software performance on embedded systems, including accelerators.

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

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

Join 42dot, a pioneering leader in autonomous driving solutions, as a Test Engineer. In this role, you will be responsible for designing, implementing, and executing test plans to ensure optimal performance and safety of our autonomous driving systems. You will collaborate with cross-functional teams to develop innovative testing methodologies and improve product quality.

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

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 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 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.

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 Innovative Team!The Audio Team at 42dot is dedicated to developing cutting-edge voice technologies that enhance user interaction with vehicles. Our voice recognition technology enables seamless communication between users and their vehicles through voice commands, making driving safer and more convenient.Key ResponsibilitiesDesign and develop speech-to-text (STT) acoustic and language models, along with building comprehensive voice databases.Design wake word detection (WWD) models and establish related voice databases.Create and optimize batch and streaming voice applications for server and on-device environments (Linux, Android).Develop and optimize hardware-efficient models.QualificationsMinimum of 2 years of relevant experience (new graduates with a master’s degree are welcome to apply).Strong foundational knowledge in speech signal processing.Research experience in machine learning/artificial intelligence related to STT or WWD technology.Ability to develop applications on edge devices (Linux, Android).Proficient programming skills for innovative technology solutions (C/C++/Python/Shell).Experience with open-source deep learning frameworks (e.g., PyTorch, TensorFlow, Keras, Caffe).Preferred QualificationsFamiliarity with version control systems (Git).Understanding of unit testing, static analysis, test automation, and CI/CD processes.Experience in developing STT technologies for commercial applications.Research experience in self-supervised learning (SSL) and attention-based encoder-decoder (AED) STT models.Experience in multilingual STT research.Research experience in language models for speech recognition.Author of publications in top-tier journals/conferences in speech recognition/machine learning/AI.Possession of a master's or doctoral degree in relevant fields.Interview ProcessApplication review - Coding test - Video interview (approximately 1 hour) - In-person or video interview (approximately 3 hours) - Final selection.The process may vary by role and is subject to change based on scheduling and circumstances.Interview schedules and results will be communicated via the email provided in your application.Additional InformationPlease refrain from including prohibited information such as personal ID numbers, family relations, marital status, salary expectations, photographs, physical conditions, or place of origin in your resume.All submitted files should be in PDF format and less than 30MB. If you encounter issues uploading your resume, please send it along with the URL of the position you're applying for to recruit@42dot.ai.

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 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 Responsibilities:Develop and bring up camera drivers on embedded Linux platforms.Configure and bring up external ISPs for camera systems.Implement video/image pre-processing for camera vision applications.Analyze and optimize utilization of CPU, ISP, and memory I/O.

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

Join Our 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.