[집중채용] Edge AI SW Engineer (Autonomous Driving)

The role

The AD Framework Team develops vehicle software frameworks and execution environments to ensure autonomous driving AI models operate stably and efficiently in vehicle environments. This role involves AI inference optimization using hardware accelerators like GPU/NPU, vehicle system integration, model deployment, and performance verification.

What you will do

• Develop software for efficient AI model inference on hardware accelerators like GPU/NPU and optimize execution environments.
• Implement encoding and preprocessing for AI model input signals and decoding and postprocessing for model output signals.
• Profile AI model and application performance in Embedded System environments and optimize hardware resource utilization and inference performance.
• Improve applications and related software frameworks to respond to continuous AI model updates and deployment.
• Participate in developing performance verification frameworks to analyze and predict AI model performance in vehicles.

Required qualifications

• 5+ years of development experience in Embedded Software, AI Software, Computer Vision, or related fields
• Master's degree or equivalent practical experience in Software Engineering, Computer Vision, Artificial Intelligence, or Machine Learning/Deep Learning
• Understanding of machine learning and deep learning model structures and inference processes
• Understanding of hardware architectures such as CPU, GPU, and NPU and experience in low-level performance optimization
• Proficient software development skills using C/C++ and Shell/Python
• Experience in software development based on Linux or QNX
• Ability to solve software performance analysis and optimization problems in Embedded System environments

Nice to have

• Experience in performance analysis and optimization of machine learning and deep learning workloads
• Experience in optimization and performance analysis of linear algebra routines used in deep learning operations
• System-level optimization experience in Image Processing, Computer Vision, or Robotics Algorithms
• Hardware acceleration and computation optimization experience using CUDA, MKL, SIMD, or NEON
• Experience in building inference environments for vehicle AI models or developing Embedded AI Applications
• Experience in vehicle application and performance verification of VLA or End-to-End autonomous driving AI models

Before you apply

• Interview process includes document screening, coding test, 1st interview (video, approx. 1 hour), 2nd interview (in-person or video, approx. 3 hours), and salary negotiation/hiring
• Do not include prohibited information such as resident registration number, family relations, marital status, salary, photo, physical conditions, or hometown in the application
• Employment may be canceled if false information is discovered in the application
• Reference checks may be conducted after the interview process with the candidate's consent
• A 3-month probationary period may apply

About the company

42dot's AD Framework Team develops vehicle software frameworks and execution environments so that autonomous driving AI models can operate stably and efficiently in actual vehicle environments.