[집중채용] ML Performance Optimization Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Optimize deep learning models and improve system performance for autonomous driving in vehicle environments. You’ll focus on GPU/NPU-based acceleration for various AD models, validating model performance, conducting system profiling, and automating performance analysis tools and evaluation metrics. Working closely with AI model and software teams, you’ll support deployment and runtime optimization to enhance reliability and efficiency on vehicle platforms.

Location: South Korea

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Optimize deep learning models using GPU/NPU acceleration.
•Validate deep learning model performance and conduct system profiling.
•Analyze and optimize CPU, GPU, and neural network accelerator performance.
•Develop and automate system performance analysis tools and evaluation metrics.
•Support deployment and runtime optimization of AI models in vehicle environments.

Key Requirements

•Master’s degree or higher (or equivalent experience) in Artificial Intelligence, Machine Learning, or Deep Learning-related fields.
•Strong understanding of machine learning and deep learning systems.
•Experience with low-level performance optimization for CPU, GPU, and NPU environments.
•Proficiency in C/C++, Python, and shell scripting.
•Development experience in Linux, QNX, or RTOS environments, including system profiling and performance analysis experience.

Experience:Autonomous drivingMachine learningDeep learningComputer visionRobotics

Education:Master's in Artificial Intelligence, Machine Learning, Deep Learning (or related fields)

Skills:CollaborationPerformance analysis

Languages:KoreanEnglish

Tech Stack:GPUNPUCPUC/C++PythonShell ScriptLinuxQNXRTOSDeep learningProfilingCUDAMKLSIMDNEONNVIDIAComputer VisionImage ProcessingRobotics

Company Brief

42dot

Website

Loading job details...

Preparing the role view and application actions.

42dot

1 week ago

[집중채용] ML Performance Optimization Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: South Korea

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Optimize deep learning models using GPU/NPU acceleration.
•Validate deep learning model performance and conduct system profiling.
•Analyze and optimize CPU, GPU, and neural network accelerator performance.
•Develop and automate system performance analysis tools and evaluation metrics.
•Support deployment and runtime optimization of AI models in vehicle environments.

Key Requirements

•Master’s degree or higher (or equivalent experience) in Artificial Intelligence, Machine Learning, or Deep Learning-related fields.
•Strong understanding of machine learning and deep learning systems.
•Experience with low-level performance optimization for CPU, GPU, and NPU environments.
•Proficiency in C/C++, Python, and shell scripting.
•Development experience in Linux, QNX, or RTOS environments, including system profiling and performance analysis experience.

Experience:Autonomous drivingMachine learningDeep learningComputer visionRobotics

Education:Master's in Artificial Intelligence, Machine Learning, Deep Learning (or related fields)

Skills:CollaborationPerformance analysis

Languages:KoreanEnglish

Tech Stack:GPUNPUCPUC/C++PythonShell ScriptLinuxQNXRTOSDeep learningProfilingCUDAMKLSIMDNEONNVIDIAComputer VisionImage ProcessingRobotics

Company Brief

42dot

Website