WE MAKE
BIG IDEAS
HAPPEN

Experience

Not specified

Responsibilities

- Developmotion planning algorithms for autonomous driving

- Design path planning algorithms for both commercial and special-purpose services

- Test and validate planning algorithms through simulations and real vehicle environments

Qualifications

- Associate degree or higher in Mechanical Engineering, Electrical / Electronic Engineering, or related fields

- Strong knowledge of linear algebra, vehicle dynamics, and optimization theory

- Experience in Linux-based development environments and version control tools (e.g., Git)

- Proficiency in C++ and Python

Preferred Qualifications

- Experience in developing motion planning algorithms such as A*, Hybrid A*, or MPC

- Familiarity with autonomous driving stacks such as ROS / ROS2, Autoware, or Apollo

- Experience in tuning and developing planning algorithms for real vehicles

- Experience in integrating planning algorithms into real autonomous vehicle systems

- Understanding of HD map structures for autonomous driving

- Experience in setting up and validating X-in-the-Loop simulation environments

- Eligible for alternative military service if holding a master's degree or higher

Experience

3+ years or entry-level

Responsibilities

- Port autonomous driving logic to embedded systems

- Build systems for logic integration

- Analyze autonomous driving logic within embedded environments

- Develop runtime environments for logic execution on embedded systems

- Develop middleware for multi-threading

- Develop systems for embedded software maintenance

Qualifications

- Bachelor's degree or higher in Mechanical Engineering, Mechatronics, Computer Engineering, Electrical/Electronic Engineering, Robotics, or related fields

- Proficient in C/C++ programming

- Understanding of embedded systems

- Understanding of embedded memory and bus systems

- Familiarity with cross-compilation environments

- Knowledge of interrupt handling

Preferred Qualifications

- Experience in analyzing and working with in-vehicle communication protocols (CAN, Ethernet)

- Experience developing automotive embedded systems with MCUs (e.g., STM32, Infineon TriCore, NXP MPC)

- Understanding of MCU architecture

- Knowledge of embedded operating systems such as RTOS

- Eligible for alternative military service as a professional researcher (for master’s degree holders and above)

Experience

2+ years

Responsibilities

- Propose and sell technical solutions: Identify customer needs based on ACEWORKS' autonomous driving capabilities and propose optimal solutions to win projects.

- Identify and define customer technical issues: Through in-depth communication, accurately diagnose customers' technical challenges and collaborate on practical solutions.

- Prospect and build relationships with new customers: Actively identify prospects, build lasting relationships, and create new business opportunities.

- Track technology and market trends: Continuously monitor autonomous driving and adjacent technology markets and reflect insights in sales strategy.

Qualifications

- Strong understanding of autonomous driving, SDV, or related fields

- Excellent communication and problem-solving skills with customers

- A proactive and ambitious mindset for pioneering new markets and customers

- Outstanding presentation and negotiation skills

Preferred Qualifications

- Experience in technical sales within the mobility or IT industry

- Experience with autonomous driving-related projects

- Experience in technical sales within the mobility or IT industry

- Experience with autonomous driving-related projects

- Proficiency in foreign languages, including English

Experience

5+ years

Responsibilities

• Future Mobility HILS Solution Sales & Proposal

  Propose and promote ACEWORKS’ Future Mobility control-verification solutions (HILS) by analyzing customer requirements, delivering optimal engineering solutions, and managing project acquisition and execution.

• ECU (Electronic Control Unit) Engineering Solution Sales

  Utilize ACEWORKS’ ECU SW/HW development capabilities to propose engineering solutions that support customers’ ECU development projects, from technical proposal to contract and project management.

• Future Mobility Business Planning

  • Plan and propose new HILS-based control-verification solutions through analysis of mobility technologies and market trends.

  • Develop sustainable business directions based on customer VoC and ongoing communication.

  • Plan and propose AI-based engineering solution business models for Future Mobility.

• New Customer Development & Relationship Management

  Identify potential customers, build long-term relationships, and expand business through new project opportunities.

Qualifications

• Strong technical understanding of xEV control systems, ECU technologies, and verification solutions.

• Excellent communication and problem-solving skills when engaging internal and external stakeholders.

• Strong drive and proactive mindset toward developing new markets and customers.

• Outstanding presentation and negotiation skills.

Preferred Qualifications

• Experience in B2B technical sales or project management in the mobility or IT industry.

• Experience in technology sales or government/research-institute projects.

• Project experience related to xEV control systems, ECU technologies, or verification solutions.

• Proficiency in English or other foreign languages.

Experience

Not specified

Responsibilities

- Operate autonomous Test vehicles on public roads and closed Test tracks to validate the performance and safety of developed autonomous driving systems.

- Collect and analyze various types of data generated during Test runs to provide feedback for technical improvement.

- Identify and respond to potential hazards during Test drives in accordance with safety protocols, and report incidents accurately.

- Develop and execute Test plans for individual functions of the autonomous driving system following defined procedures.

Qualifications

- Associate’s degree or higher

- Valid driver’s license (Class 1 or higher, held for at least 2 years)

- Strong sense of responsibility and safe driving habits

- Extensive driving experience and strong vehicle control skills

- Excellent problem-solving skills and ability to respond to unexpected situations

Preferred Qualifications

- Experience in testing or evaluating autonomous driving or ADAS (Advanced Driver Assistance Systems)

- Knowledge of automotive maintenance or related technical fields

- Over 5 years of driving experience

Experience

Not specified

Responsibilities

- Develop and maintain software across the full autonomous driving system stack

- Implement low-level software interfacing with sensors and vehicle systems

- Verify and improve autonomous driving algorithms in simulator and test environments

- Collaborate with other development teams and hardware teams for feature integration and optimization

Qualifications

- Bachelor’s degree or higher in Computer Science, Electrical/Electronic Engineering, Mechanical Engineering, Robotics, or a related field

- Experience with Linux-based development environments and version control tools such as Git

- Proficiency in C++ and Python

Preferred Qualifications

- Experience with autonomous driving stacks such as ROS/ROS2, Autoware, or Apollo

- Experience using or developing simulation tools

- Understanding of autonomous driving systems, sensor drivers, and communication protocols (CAN, UDP, etc.)

- Eligible for alternative military service as a professional researcher if holding a master’s degree or higher

Experience

Not specified

Responsibilities

- Apply and validate deep learning models for perception tasks such as object detection and lane recognition in vehicles

- Tune perception models and optimize parameters for diverse environmental conditions

- Perform calibration of multi-sensor systems (e.g., camera, LiDAR)

- Integrate perception modules into autonomous driving systems and conduct system-level tests

- Build logging and monitoring pipelines related to MLOps

Qualifications

- Major in Computer Engineering, Electrical / Electronic Engineering, Robotics, AI, or a related field

- Experience using Python-based deep learning frameworks (e.g., PyTorch, TensorFlow)

- Familiarity with Linux development environments and version control tools such as Git

- Proficiency in Python

Preferred Qualifications

- Experience building pipelines for image processing and deep learning model training/inference

- Experience with deep learning optimization tools such as ONNX and TensorRT

- Experience in validating perception algorithms on real vehicles

- Eligible for alternative military service as a professional researcher (Master’s degree or higher)

Experience

3+ years

Responsibilities

- Apply and validate deep learning models for perception tasks such as object detection and lane recognition in vehicles

- Apply, tune, and optimize inference performance of perception models on real vehicles

- Integrate perception modules into autonomous driving platforms and perform system-level debugging

- Build MLOps pipelines including model deployment, logging, and resource management

Qualifications

- Major in Computer Engineering, Electrical / Electronic Engineering, Robotics, AI, or a related field

- Experience in developing CV-based perception systems such as object detection, segmentation, and lane detection

- Experience in model optimization and inference acceleration using PyTorch/TensorFlow and tools such as ONNX, TensorRT

- Familiarity with Linux development environments and version control tools such as Git

- Proficiency in Python

- Minimum 3 years of relevant work experience

Preferred Qualifications

- Experience in model optimization and deployment

- Experience in building pipelines using MLOps tools

- Experience in validating perception algorithms on real vehicles

- Eligible for alternative military service as a professional researcher (Master’s degree or higher)

Experience

3+ years

Responsibilities

- Develop motion planning algorithms for autonomous driving

- Design motion planning algorithms for commercial and special-purpose services

- Test and validate motion planning algorithms based on simulations and real vehicle environments

Qualifications

- Bachelor’s degree or higher in Mechanical Engineering, Electrical Engineering, or related fields

- Academic knowledge in linear algebra, vehicle dynamics, and optimization theory

- Experience with Linux-based development environments and version control tools (e.g., Git)

- Proficiency in C++ and Python

Preferred Qualifications

- Experience in motion planning algorithm development (A*, Hybrid A*, MPC, etc.)

- Experience utilizing autonomous driving stacks such as ROS/ROS2, Autoware, Apollo

- Hands-on experience developing and tuning motion planning algorithms on real vehicles

- Experience in system integration for real-vehicle autonomous driving

- Understanding of high-definition map structures for autonomous driving

- Experience in building and validating X-in-the-Loop simulations

- Eligible for alternative military service as a research personnel (for Master’s degree holders)

Experience

Entry-level (New Graduate)

Responsibilities

- Document wiring diagrams using electrical design tools

- Perform harness fabrication and wiring work

Qualifications

- Associate degree or higher in Mechanical Engineering, Mechatronics Engineering, or related fields

- Ability to commute with own vehicle

Preferred Qualifications

- Experience with electrical design tools (e.g., AutoCAD, EPLAN)

- Experience with 3D CAD modeling (e.g., SolidWorks)

- Collaboration and on-site response experience

Experience

3 - 12 years

Responsibilities

- Review customer specifications and prepare detailed software development specifications

- Develop software for automotive control system test equipment (HIL, EOL, test benches, etc.)

- Execute project tasks and communicate with customers throughout the project lifecycle

- Perform on-site commissioning and respond to field issues

Qualifications

- Associate degree or higher in Mechatronics

Engineering, Computer Engineering, Software -

- Engineering, or a related field

- Minimum 3 years of hands-on experience in software development

Preferred Qualifications

- Experience working in a related industry (automotive test systems, HIL, automation, etc.)

- Project experience using LabVIEW or VeriStand

Experience

0 - 7 years

Responsibilities

*Control development

• Plant dynamics analysis

• Control design and verification based on the Model-Based Design (MBD) process

  - Plant modeling and simulation environment setup

  - Control strategy development and algorithm design

  - MIL(Model-In-the-Loop) / HIL(Hardware-In-the-Loop)verification

Qualifications

• Master’s or Ph.D. degree (or expected)

• Major in Automotive Engineering, Mechanical Engineering, Mechatronics,Control Engineering, Electrical/Electronic Engineering, or a related field

• Understanding of modeling and control

Preferred Qualifications

• Experience in control development using the MBD process

• Experience with MIL(Model-In-the-Loop) / HIL(Hardware-In-the-Loop) verification

• Understanding of powertrain control systems(engine, hybrid, electric powertrain, fuel cell, etc.)

• Experience in embedded software development (C/C++)

• A relevant master’s degree (including expected graduation) is recognized as 2 years of experience

Experience

0 - 7 years

Responsibilities

• Control system analysis and design

  - Control system analysis and concept design

  - Electrical system design

• System testing and verification

  - Test plan development and test environment setup1

  - Performance optimization

  - System testing and result analysis

Qualifications

• Bachelor’s, Master’s, or Ph.D. degree (or expected)

• Major in Automotive Engineering, Mechanical Engineering, Mechatronics,Control Engineering, Electrical/Electronic Engineering, or a related field

Preferred Qualifications

• Understanding of powertrain control systems(engine, hybrid, electric powertrain, fuel cell, etc.)

• Experience in measurement data acquisition and analysis

• Experience in designing test automation scenarios