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LLM Engineer (Optimization) at 42dot - ApplyBlast

LLM Engineer (Optimization)

42dot

3 months ago

3.9 on Glassdoor

Pangyo, South Korea

Onsite

Full Time

Senior

0 applicants

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About this role

An LLM Engineer (Optimization) develops and optimizes AI systems to maximize large language model inference performance across server, edge, and on-device environments. The role involves researching and implementing Inference Engines, Runtimes, Compilers, and Model Optimization techniques to deliver high-performance, low-latency, and cost-efficient AI services. Key duties include optimizing GPU clusters, applying model compression strategies, and utilizing profiling tools to analyze and improve system efficiency.

Responsibilities

Optimize large language model inference latency and throughput
Develop and tune GPU-based Inference Engines and Runtimes
Implement model compression and compiler optimization strategies
Analyze performance bottlenecks using profiling tools like Nsight
Design serving architectures for edge and on-device environments

Skills

Qualifications

3+ years in LLM or ML InfrastructureExperience with LLM Inference Engines or AI RuntimesProficiency in CUDA or Parallel ComputingKnowledge of Model Compression techniquesExperience with PyTorch and ONNX

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.