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

Entry-level

Responsibilities

- Create electrical schematics and documentation using electrical design tools

- Support commissioning and related tasks

Qualifications

- Associate’s degree or higher in Electrical/Electronic Engineering, Mechatronics, or related fields

Preferred Qualifications

- Experience using electrical design tools such as AutoCAD or EPLAN

Experience

Entry-level

Responsibilities

- Develop application software

- Develop automotive software verification tools

- Manage software deployment and support field issue resolution

Qualifications

- Associate’s degree or higher in Mechatronics, Electrical/Electronic Engineering, Computer Engineering, Control & Instrumentation, or related fields

- Proficiency in at least one programming language such as C/C++, C#, or Python

Preferred Qualifications

- Self-driven and proactive in personal growth (e.g., through internships, competitions, or self-initiated projects)

Experience

3 to 12 years

Responsibilities

- Develop Windows-based applications (e.g., EOL systems, testers, product inspection)

- Execute HILS projects utilizing NI Veristand and TestStand tools

- Develop EV/ADAS HILS systems (e.g., BMS, MCU, OBC, LDC, VCU)

Qualifications

- Associate degree or higher

- Minimum 3 years of hands-on software development experience

- At least 2 years of experience developing test and inspection equipment programs using C++, C#, or similar languages

Preferred Qualifications

- Prior experience in the same or related industry

Experience

2 to 5 years

Responsibilities

- Develop application software for equipment

Analyze customer requirements and review system (hardware) configurations

- Design and document 2D/3D drawings using mechanical design tools (including component selection and BOM creation)

- Execute projects, respond to customer inquiries, and manage external partners

- Perform on-site commissioning and respond to field issues

Qualifications

- Associate degree or higher in Mechanical Engineering, Mechatronics Engineering, or a related field

- More than 2 years of experience in mechanical design

- Proficiency in mechanical design using tools such as AutoCAD, SolidWorks, or Inventor

Preferred Qualifications

- Prior experience in a related industry

- Experience in designing and manufacturing mechanical parts for testing and inspection equipment

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)