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ML Performance Optimization Engineer at 42dot - ApplyBlast

ML Performance Optimization Engineer

42dot

3 months ago

3.9 on Glassdoor

Pangyo, South Korea

Onsite

Full Time

Senior

0 applicants

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About this role

The ML Performance Optimization Engineer in the AD Division optimizes AI models and improves system performance to ensure autonomous driving models operate efficiently and reliably in vehicle environments. This role focuses on GPU/NPU-based optimization for various autonomous driving models and involves close collaboration with AI model and software teams to conduct model validation, system profiling, and performance analysis automation.

Responsibilities

Optimize deep learning models using GPU and 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

Skills

Qualifications

Master's degree in Artificial IntelligenceMaster's degree in Machine LearningMaster's degree in Deep Learning

About 42dot

42dot.ai

Headquarters

성남시 수정구, 경기도, South Korea

Company Size

501-1000 employees

Founded

2019

View Profile

42dot is the global software center of Hyundai Motor Group, leading the group's transformation toward Software-Defined Vehicles (SDV) through advanced software and AI technologies. The company develops core SDV components including E/E architecture, Vehicle OS, and infotainment systems, alongside AI solutions such as Autonomous Driving AI, Agentic AI (Gleo AI), and Fleet AI. 42dot drives innovation across the mobility ecosystem by integrating software and AI to redefine the future of transportation.