ML Performance Optimization Engineer

42dot
South Korea
Workplace: HybridFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Collaboration","Performance analysis"]

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.

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FursaFursa
42dot
42dot
1 month ago

ML Performance Optimization Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours 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
Develops autonomous driving and mobility software platforms, including AI-based perception, mapping, routing, and connected-vehicle technologies. It works on next-generation transportation systems and self-driving vehicle capabilities for automotive applications.
Industry: Autonomous Vehicles
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Seoul, South Korea
Founded: 2019
WebsiteLinkedIn