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Software Engineer

IDEAL-CAREERBRIDGE PTE. LTD.

Singapore

On-site

SGD 60,000 - 80,000

Full time

2 days ago
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Job summary

A technology company in Singapore is seeking a skilled data engineer to design, develop, and deploy state-of-the-art multimodal models for autonomous driving. Candidates should have a BS in Computer Science and strong programming skills in Python and C/C++. Experience with deep learning frameworks like PyTorch and TensorFlow is essential. The role requires optimizing models for deployment and working on innovative research in the field.

Qualifications

  • Strong programming skills in Python and C/C++.
  • Hands-on experience with deep learning frameworks such as PyTorch and TensorFlow.
  • Excellent communication and analytical thinking skills.

Responsibilities

  • Design, develop, fine tune, and deploy multimodal models for autonomous driving.
  • Optimize models for latency, throughput, and memory usage.

Skills

Python programming
C/C++ programming
Deep learning frameworks
Analytical thinking
Problem solving
Communication

Education

BS degree in Computer Science
MS or PhD in a relevant field

Tools

PyTorch
TensorFlow
Job description
Responsibilities

Design, develop, fine tune, and deploy SOTA multimodal models for various usecases in autonomous driving, including vision language models (VLMs) and Large Language Models (LLMs)

Optimize models for latency, throughput, and memory usage, ensuring efficient deployment on edge devices and cloud platforms.

Qualifications

BS degree in Computer Science or a similar discipline.

Stong programming skills in Python and C/C++.

Hands-on experience with deep learning frameworks such as PyTorch and Tensorflow.

Excellent communication, strong analytical thinking and problem solving skills.

Preferences

MS or PhD in Computer Vision, Machine Learning, Computer Graphics, or a related field, or equivalent professional experience.

Deep expertise in the latest deep learning SOTA models.

Track record of published research in top-tier computer vision conferences such as CVPR, ICCV, ECCV, NeurIPS, or other leading forums.

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