Autonomous driving technology company developing AI software for self-driving vehicles

42dot is at the forefront of autonomous driving technology, developing sophisticated AI software for self-driving vehicles. As a Senior Computer Vision Engineer, you'll be integral to advancing autonomous driving capabilities through cutting-edge computer vision and machine learning research. The role combines theoretical expertise with practical implementation, focusing on 3D vision, object tracking, and sophisticated perception systems.

The position offers a unique opportunity to work with advanced sensor technologies including GPS, IMU, cameras, and LIDAR, while contributing to groundbreaking autonomous driving solutions. You'll be part of a team pushing the boundaries of what's possible in autonomous vehicle perception, working on everything from low-level vision algorithms to complex 3D modeling.

The ideal candidate brings both academic depth and practical experience, with publications in prestigious conferences like CVPR, ICCV, or ECCV being a plus. You'll have the chance to work on real-world applications of computer vision in autonomous driving, combining theoretical knowledge with practical engineering challenges.

42dot provides a collaborative environment where innovation in autonomous driving technology is the primary focus. The hybrid work model offers flexibility while maintaining team connectivity. This role is perfect for someone passionate about advancing the future of transportation through AI and computer vision technology, offering the opportunity to work on cutting-edge problems in autonomous driving perception systems.

Senior Computer Vision Engineer role focusing on developing advanced autonomous driving technologies through computer vision and machine learning research at 42dot.

Senior Computer Vision Engineer (Autonomous Driving)

42dot is a company focused on developing autonomous driving technology and machine learning algorithms for safe autonomous driving.

42dot is seeking a Machine Learning Engineer specializing in Auto Labeling for autonomous driving. The role involves developing machine learning algorithms for safe autonomous driving, solving complex problems, and implementing human-like autonomous driving. The engineer will collaborate with various teams at 42dot that utilize machine learning.

Key responsibilities include:
1. Developing algorithms and automated systems for generating labels using various sensor and video data collected during autonomous driving.
2. Curating high-quality datasets for autonomous driving scenarios and designing robust evaluation metrics.
3. Researching active learning techniques to efficiently select and label high-value data points.
4. Exploring methods for automatically discovering optimal neural network architectures for label generation.
5. Developing strategies for transfer learning, low-shot learning, and long-tail learning to address limited labeled data and class imbalance issues.
6. Optimizing learning algorithms and inference processes for efficient resource utilization in real-time autonomous driving systems.
7. Prioritizing the development of privacy-preserving technologies for high-performance label generation while complying with privacy regulations.

The ideal candidate will have:
- 5+ years of practical experience (Ph.D. candidates nearing graduation are welcome to apply)
- Master's or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Statistics, or Machine Learning-related fields
- Strong knowledge of linear algebra, probability, signal processing, and machine learning
- Proficient programming skills in C/C++ and Python

Preferred qualifications include experience in autonomous driving and robotics development, building and utilizing automated learning pipeline systems, and a track record of publications in relevant conferences (CVPR, ICCV, ECCV, NeurIPS, AAAI, etc.).

The interview process includes document screening, coding test, first interview, second interview, compensation negotiation, and final acceptance. The process may vary depending on the position and circumstances.

Join 42dot to work on cutting-edge autonomous driving technology and contribute to the future of transportation!

42dot is hiring a Machine Learning Engineer for Auto Labeling to develop algorithms for autonomous driving, focusing on efficient data labeling and model optimization.

Machine Learning Engineer (Auto Labeling)

42dot is seeking a Senior Sensor Fusion Engineer to develop and lead cutting-edge sensor fusion algorithms for safe autonomous driving. You will process various sensor data from autonomous vehicles to implement sophisticated object models, enabling accurate perception of the surrounding environment. You'll also contribute to system design and optimization in collaboration with various teams at 42dot.

Responsibilities:
- Advanced image and radar signal processing
- Implementation and improvement of sophisticated object models
- Development and optimization of algorithms for real-time autonomous driving
- Development of system performance analysis tools and automated performance evaluation metrics
- Leading sensor fusion innovation to improve autonomous driving perception accuracy

Qualifications:
- 5+ years of relevant experience (Ph.D. candidates may apply)
- Deep understanding of sensors used in autonomous driving
- Expertise in state estimation, multi-target tracking, data association, and camera geometry
- Specialized knowledge in linear algebra, probability and statistics, and digital signal processing
- Programming skills in C/C++, Shell, and Python
- Development experience in Linux, QNX, and RTOS environments

Preferred Qualifications:
- Experience in developing perception algorithms for ADAS or autonomous driving systems
- Practical experience in pre/post-processing of various sensor data
- Deep knowledge and practical experience with cameras, sensors, and 3D geometry
- Experience using various libraries and frameworks related to autonomous driving

Interview Process:
1. Document screening
2. Coding test
3. First interview
4. Second interview
5. Compensation negotiation
6. Final acceptance

The interview process may vary by position and is subject to change depending on schedules and circumstances. Interview schedules and results will be communicated individually via the email registered in your application.

Join 42dot and be part of the team developing cutting-edge autonomous driving technology!

Senior Sensor Fusion Engineer (Autonomous Driving)

42dot is a company focused on developing state-of-the-art solutions in Motion Planning algorithms for autonomous driving systems.

At 42dot, the Senior Machine Learning Engineer team focuses on developing state-of-the-art solutions in Motion Planning algorithms for autonomous driving. They create advanced prediction algorithms for future path planning, ensuring safety and reliability of autonomous driving systems. The team utilizes vast datasets to analyze driving patterns and design algorithms for smooth vehicle control. 

Responsibilities include:
- Leading the design and development of advanced machine learning models for autonomous driving tasks
- Driving end-to-end machine learning pipeline development
- Applying state-of-the-art deep learning techniques
- Optimizing model performance in real-world conditions
- Collaborating with cross-functional teams
- Mentoring junior engineers
- Staying updated on the latest trends in machine learning and autonomous driving

Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, AI, Robotics, or related field
- Extensive experience with deep learning algorithms
- Strong proficiency in Python and machine learning frameworks
- Deep understanding of reinforcement learning and advanced optimization techniques
- Experience with large-scale datasets and cloud-based ML pipelines
- Excellent leadership and communication skills

Preferred Qualifications:
- Strong background in autonomous driving technologies
- Experience with hardware-in-the-loop testing and real-time deployment
- Research and development experience in autonomous driving and robotics
- ROS1/ROS2 experience
- Experience deploying predictive models in real-world environments
- Inference optimization experience
- History of academic activities in related fields

42dot offers insights into their Autonomous Driving AI software through videos from KCCV 2022 and UMOS Day 2021. They also provide information about their work culture and employee engagement programs on their website.

Senior Machine Learning Engineer position at 42dot, focusing on developing advanced algorithms for autonomous driving systems.

Senior Machine Learning Engineer (End-to-End Driving)

42dot is seeking a Senior Control System Engineer for Autonomous Driving to develop advanced control systems to solve complex and challenging problems in the field of autonomous driving. You will work with experts in motion planning, functional safety, hardware engineering, and related fields to develop robust and reliable autonomous driving systems. You will lead the integration of various control algorithms and performance improvements, and guide the engineering team.

Responsibilities:
- Lead 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 driving tasks.
- Develop and optimize estimation algorithms for key vehicle parameters such as road slope, vehicle speed, and slip to improve the precision and reliability of control systems.
- Work closely with teams focusing on motion planning, behavior planning, and mission planning to ensure smooth system integration.
- Provide guidance on control architecture and system optimization, and mentor junior engineers.

Qualifications:
- Bachelor's/Master's degree in Robotics, Electrical Engineering, Mechanical Engineering, Computer Science, or related field.
- 5+ years of experience in control system design, especially in autonomous vehicles or similar fields.
- Strong expertise and practical experience in robust control, vehicle dynamics, and systems engineering.
- Practical experience with system interference observation, system identification, and state estimation techniques such as Kalman filters and particle filters.
- Proven experience with actuator control in low-level control systems.
- Proficiency in C++, Python, or equivalent programming languages.
- Experience working in safety-critical environments with real-time control systems.

Preferred Qualifications:
- Experience with ROS/ROS2 and integration with autonomous driving systems.
- Experience with Model Predictive Control (MPC) and nonlinear control systems.
- Experience with industry standards and safety-critical systems in automotive or aerospace fields.
- Experience with adaptive and self-calibrating control algorithms to maintain and improve system performance under various conditions.
- Knowledge of source control management, build processes, code review, and testing methodologies.
- Demonstrated technical capability through published research work in relevant fields.

Interview Process:
1. Document screening
2. Coding test
3. Video interview (about 1 hour)
4. Face-to-face or video interview (about 3 hours)
5. Final selection

The interview process may vary by position and may change depending on schedule and circumstances. Interview schedules and results will be communicated individually via the email registered in your application.

Senior Control System Engineer (Autonomous Driving)

42dot is a company focused on Software-defined Vehicle (SDV) and mobility services.

The iOS Application Developer (Proximity Intelligence Service) role at 42dot focuses on developing the Proximity Intelligence Service, which provides various interactions and user experience innovations based on the physical proximity between Software-defined Vehicles (SDV) and mobile devices. The goal is to maximize safety, convenience, and personalized user experiences by integrating various sensors and communication modules of SDVs with mobile device technologies such as Bluetooth (BLE) and UWB. This role aims to develop technologies and services that present new possibilities for the SDV-mobile ecosystem.

Key responsibilities include:
- Designing, developing, and maintaining iOS applications that utilize proximity between SDVs and mobile devices
- Developing features using proximity-based technologies like Bluetooth (BLE) and UWB for SDV integration
- Integrating with Apple Find My and other proximity-based networks
- Implementing digital key solutions for vehicle locking/unlocking and proximity control services via mobile devices
- Developing IoT integration features enabling car-to-home and home-to-car connectivity

Requirements:
- Minimum 5 years of iOS mobile app development experience
- Deep understanding of iOS frameworks and proficient programming skills in Swift and SwiftUI
- Experience in developing with proximity-based technologies (Bluetooth, UWB, NFC, Wi-Fi Direct)
- Experience with Git, Jira, CI/CD environments, and code reviews
- Strong communication skills for cross-team collaboration

Preferred qualifications include experience with SDV and Mobility services projects, IoT device integration (e.g., Samsung SmartThings, LG ThinQ), Apple ecosystem integrations (Find My, AirPlay, CarPlay), digital key solutions, and MFi certification development.

The interview process includes document screening, coding test, video interview, in-person or video interview, and final selection. The process may vary by position and is subject to change based on schedules and circumstances.

Senior iOS Engineer role at 42dot, developing proximity-based services for Software-defined Vehicles (SDV) and mobile devices integration.

iOS Application Engineer (Proximity Intelligence Service)

42dot is a company focused on automotive E/E (Electrical/Electronic) architecture integration and validation.

42dot is seeking an E/E Integration Engineer to lead the integration and validation of complex automotive systems, focusing on E/E (Electrical/Electronic) architecture integration. This role involves working with hardware, software, and network communication components, with a particular emphasis on infrastructure integration and validation for Power mode, Connectivity, OTA (Over-The-Air), and Cybersecurity. 

The ideal candidate will develop and maintain HIL (Hardware-in-the-Loop) test systems, improve verification efficiency through test automation, and collaborate with cross-functional teams to seamlessly integrate ECUs, actuators, sensors, and other components into the vehicle architecture. They will ensure compliance with industry standards and OEM requirements.

Key responsibilities include:
1. E/E Architecture Integration and Validation
2. HIL Test System Development and Maintenance
3. Problem Solving and Continuous Improvement
4. Cross-functional Collaboration

Qualifications:
- Bachelor's or Master's degree in Electrical Engineering, Electronic Engineering, Automotive Engineering, Computer Engineering, or related fields
- 5+ years of experience in automotive E/E system integration, E/E architecture, HIL development test automation, or similar areas
- Experience with E/E architecture integration and infrastructure integration related to Power mode, Connectivity, OTA, and Cybersecurity
- Proficiency in developing and operating HIL systems (e.g., dSPACE, Vector, NI)
- Test automation skills using CI/CD, Python, and pytest
- Experience with automotive communication protocols (Ethernet, CAN, LIN) and diagnostic tools (CANoe, PCAN)
- Understanding of E/E architecture standards (ISO 26262, AUTOSAR)
- Experience in UDS Diagnostic (DoIP, DoCAN) verification (ISO 14229)
- Excellent problem-solving, collaboration, communication, and analytical thinking skills

Join 42dot and be part of a team that's shaping the future of automotive technology!

42dot is hiring an E/E Integration Engineer to lead automotive system integration, focusing on E/E architecture, HIL testing, and infrastructure validation.

E/E Integration Engineer

The Android Application Developer (Proximity Intelligence Service) role at 42dot involves developing the Proximity Intelligence Service, which provides various interactions and user experience innovations based on the physical proximity between Software-defined Vehicles (SDV) and mobile devices. The goal is to maximize safety, convenience, and personalized user experiences by integrating various sensors and communication modules of SDVs with mobile device technologies such as Bluetooth (BLE) and UWB. This role aims to develop technologies and services that present new possibilities for the SDV-mobile ecosystem.

Key responsibilities include:
- Designing, developing, and maintaining Android applications that utilize proximity between SDVs and mobile devices
- Developing features using proximity-based technologies like Bluetooth (BLE) and UWB for SDV integration
- Integrating with Google Nearby, Galaxy Find Network, and other proximity-based networks
- Implementing digital key solutions for vehicle locking/unlocking and proximity control services via mobile devices
- Developing IoT integration features enabling car-to-home and home-to-car connectivity

Required qualifications:
- Minimum 5 years of Android mobile app development experience
- Proficiency in Android framework and programming languages like Java and Kotlin
- Experience with proximity-based technologies (Bluetooth, UWB, NFC, Wi-Fi Direct)
- Experience with Git, Jira, CI/CD environments, and code reviews
- Strong communication skills for cross-team collaboration

Preferred qualifications:
- Experience with SDV and Mobility service-related projects
- Experience integrating IoT devices (Samsung SmartThings, LG Thinq, Google Home)
- Experience with external proximity networks (Google Nearby, Google Fast pair, Samsung Galaxy Find Network)
- Experience developing or integrating digital key solutions or similar frameworks

The interview process includes document screening, coding test, video interview (about 1 hour), face-to-face or video interview (about 3 hours), and final selection. The process may vary by position and is subject to change based on schedule and circumstances.

Senior Android Application Engineer role for Proximity Intelligence Service in SDV ecosystem at 42dot, Pangyo, South Korea.

Android Application Engineer (Proximity Intelligence Service)

42dot is developing advanced voice technology to enable more convenient communication for users in vehicles.

42dot's Audio team is developing advanced voice technology to enable more convenient communication for users in vehicles. The Voice ID technology of the 42dot Audio team is a technology that recognizes the speaker's voice to provide personalized services. We are looking for talented individuals who will innovate in-vehicle experiences and open a new era of mobility through the development of Voice ID technology.

Responsibilities:
- Design speaker recognition models
- Evaluate the performance of speaker recognition models
- Build speaker recognition databases
- Develop and test speaker enrollment systems
- Evaluate the performance of speaker enrollment systems

Qualifications:
- At least 2 years of relevant experience (new graduates with a master's degree can apply)
- Basic concepts/knowledge of voice signal processing
- Research and development experience in the field of speaker recognition
- Ability to use deep learning frameworks such as PyTorch

Preferred Qualifications:
- Experience in commercialization/service related to speaker recognition
- Project experience using reinforcement learning
- Author of top-tier journal/conference papers in the fields of speaker recognition/speech recognition/machine learning/artificial intelligence

Interview Process:
1. Document screening
2. Coding test
3. Video interview (about 1 hour)
4. Face-to-face or video interview (about 3 hours)
5. Final acceptance

The interview process may vary depending on the position and may change according to schedule and circumstances. The interview schedule and results will be individually notified via the email registered in your application.

Additional Information:
- When submitting your resume, please exclude information prohibited by the Recruitment Procedure Act, such as resident registration number, family relationship, marital status, salary, photo, physical condition, and place of origin.
- All submitted files should be uploaded in PDF format under 30MB.
- After the interview process, a reputation check may be conducted with the applicant's consent.
- Preference is given to national veterans and employment protection subjects in accordance with relevant laws.
- Preference is given to persons with disabilities in accordance with the Act on the Promotion of Employment and Vocational Rehabilitation of Persons with Disabilities.
- 42dot does not accept resumes from unsolicited search firms and does not pay fees for unsolicited resumes.

For more information about working at 42dot, please check:
- 42dot Way: How 42dot works
- Employee Engagement Program: 42dot's unique program to help employee engagement

Deep Learning Engineer (Speaker Recognition)

42dot is an innovative company specializing in autonomous driving AI software development.

42dot is seeking a highly skilled Lead Simulation Engineer to join their Autonomous Driving organization. This role is crucial in developing and maintaining advanced simulation environments for validating and verifying autonomous driving systems. The ideal candidate will have a strong background in simulation technology, autonomous vehicles, and robotics.

As a Lead Simulation Engineer, you'll be responsible for creating high-fidelity simulation environments, implementing realistic models, and designing experiments to test autonomous driving algorithms. You'll work closely with cross-functional teams, including software engineers, robotics engineers, and data scientists, to integrate simulation tools into the development pipeline.

The role requires a minimum of 7 years of relevant experience and an advanced degree in a related engineering field. Proficiency in programming languages like C++, Python, and familiarity with simulation software such as Carla, CarSim, or Simulink is essential. Knowledge of cloud technologies, middleware (ROS/ROS2), and experience with Linux, Git, and SQL are also required.

42dot offers a hybrid work environment in the Mountain View area, allowing for a balance between in-office collaboration and remote work flexibility. This position provides an opportunity to work at the forefront of autonomous driving technology, contributing to the development of cutting-edge simulation systems that will shape the future of transportation.

For more insights into 42dot's Autonomous Driving AI software, candidates are encouraged to watch videos from KCCV 2022 and UMOS Day 2021. Join 42dot and be part of a team pushing the boundaries of autonomous driving technology!

Lead Simulation Engineer role at 42dot, developing advanced simulation environments for autonomous driving systems in Mountain View, USA.

42dot Engineering Jobs

Autonomous driving technology company developing AI software for self-driving vehicles