全职 AI Frontier Engineer 工作, 薪水 up to MYR 9,500, SAFE TRUCK SDN BHD Pulau Pinang 公司招聘中 - Ricebowl

Job Summary

You will work on production AI systems spanning autonomous AI agents, multimodal reasoning, computer vision, predictive analytics, digital twins, and large-scale enterprise platforms for logistics, transportation, and aviation.

This role is ideal for engineers who enjoy working across research and production while building technology that directly impacts real-world operations.

Job Responsibilities

• Work on Frontier AI

Build AI products that go beyond chatbots, including autonomous agents, multimodal AI, enterprise copilots, predictive maintenance systems and digital twins deployed in real operational environments.

• Solve Real Problems

Improve transportation safety, optimize logistics operations, reduce operational costs and support predictive maintenance for aviation systems.

• Research Meets Production

Bridge cutting-edge AI research with scalable enterprise deployment, contributing to solutions that deliver measurable business impact.

• Fast Learning Environment

Collaborate with experienced engineers, AI researchers and industry partners while working across multiple AI domains.

You will Work On:

• Production AI systems used by enterprise customers
• Large-scale IoT and telematics datasets
• Multi-million GPS records
• Fleet optimization algorithms
• Predictive maintenance models
• Autonomous AI agents
• Digital twin technologies
• AI copilots for enterprise users
• Large multimodal datasets
• Edge AI deployment

What You’ll Build

Intelligent Logistics Platform

• AI Fleet Management
• AI Route Optimization
• Vehicle Intelligence
• Fuel Analytics
• Predictive Fleet Maintenance
• Supply Chain Intelligence
• Transportation Management System (TMS)
• AI Operations Copilot

AI Video Intelligence

• Driver Monitoring Systems (DMS)
• Advanced Driver Assistance Systems (ADAS)
• Computer Vision
• Edge AI
• Real-time Safety Analytics
• Video Understanding using Vision Language Models

Aviation AI

• Aircraft Health Monitoring
• Engine Remaining Useful Life Prediction
• ACMS Data Analytics
• AI Maintenance Planning
• Reliability Analytics
• Technical Manual AI Assistant
• Predictive Maintenance
• Digital Twin for Aircraft and Engines

Frontier AI

• Agentic AI Systems
• Retrieval-Augmented Generation (RAG)
• Knowledge Graphs
• AI Workflows
• Multi-Agent Systems
• AI Reasoning
• Generative AI Applications
• Enterprise AI Platforms

Qualifications and Skills:

• Degree in Computer Science, AI, Software Engineering, Robotics, Data Science, or related disciplines
• Strong Python programming skills
• Experience building machine learning or AI applications
• Understanding of LLMs and Generative AI
• Strong software engineering fundamentals
• Excellent analytical and problem-solving abilities
• Curiosity to explore emerging AI technologies
• Bonus Points with experience in any of the following:

- Computer Vision

- Deep Learning

- Reinforcement Learning

- Time Series Forecasting

- Predictive Maintenance

- Graph Neural Networks

- RAG

- Agentic AI

- Multi-Agent Systems

- NVIDIA CUDA

- Edge AI

- Robotics

- Optimization Algorithms

- Aviation Analytics

- Transportation Systems

- GIS & Mapping

- IoT Platforms

Technologies You’ll Use

• AI & Machine Learning

- Python

- PyTorch

- TensorFlow

- Scikit-Learn

- Hugging Face

- XGBoost

- LightGBM

• LLM & AI Frameworks

- OpenAI APIs

- NVIDIA NIM

- LangGraph

- LangChain

- LlamaIndex

- DSPy

- MCP (Model Context Protocol)

• Computer Vision

- OpenCV

- YOLO

- NVIDIA DeepStream

- TensorRT

- ONNX

- Vision Language Models (VLM)

• Data & Backend

- FastAPI

- Node.js

- PostgreSQL

- TimescaleDB

- Redis

- Kafka

- Docker

- Kubernetes

• Cloud & Infrastructure

- Google Cloud Platform

- Azure

- AWS

- Vertex AI

- NVIDIA GPU Infrastructure

NVIDIA Collaboration & Growth Opportunities

As part of our AI initiatives, selected engineers may have opportunities to:

• Work with NVIDIA AI software and GPU technologies
• Build applications using NVIDIA NIM, TensorRT, DeepStream, and CUDA
• Develop Vision AI and edge inference solutions
• Explore Digital Twin development using NVIDIA Omniverse
• Participate in NVIDIA technical workshops, developer programs, and ecosystem events
• Collaborate on AI optimization for high-performance enterprise workloads

Job Types: Full-time, Permanent, Fresh graduate

Pay: RM4,000.00 - RM9,500.00 per month

Benefits:

• Maternity leave
• Parental leave
• Professional development

Ability to commute/relocate:

• Bayan Lepas: Reliably commute or planning to relocate before starting work (Preferred)

Application Question(s):
*
Are you willing to work fully on-site at our office located in Bayan Lepas, Penang? (Please note that this position does not offer hybrid or remote arrangements.)

Work Location: In person