全职 AI Engineering Manager— Vision AI - Edge Intelligence Jobs, salary up to SGD 12,000 in SYNAXG TECHNOLOGIES PTE. LTD. Clementi - Ricebowl

Role Summary

We are seeking an experienced AI Engineering Manager to lead the development of Vision AI and Edge Intelligence systems for real-time, low-latency applications.

The role focuses on building end-to-end AI systems across perception models, multimodal intelligence, real-time inference optimization, and edge deployment. This position emphasizes production-grade delivery, system performance, scalability, and real-world deployment quality .

Key Responsibilities

Vision AI Development & Edge Real-Time Inference

• Lead end-to-end Vision AI development, including object detection, segmentation, tracking, video understanding, and semantic scene understanding
• Drive the adoption of multimodal and vision-language models, including MLLMs, VLMs, and Vision Agent architectures for natural-language interaction and agentic perception workflows
• Design and optimize low-latency inference pipelines for edge deployment, balancing model accuracy, latency, compute efficiency, memory usage, and deployment feasibility
• Apply model optimization techniques such as quantization, pruning, knowledge distillation, TensorRT, ONNX, or similar production inference frameworks
• Ensure real-time system performance for production applications

Cross-Functional Integration

• Work closely with platform, system, and RAN teams to integrate AI capabilities into commercial products
• Translate product requirements into robust AI system designs and implementation plans
• Ensure AI solutions meet real-world deployment constraints, including latency, compute, reliability, and maintainability

Team Leadership

• Lead, mentor, and grow a high-performing AI engineering team
• Define the technical roadmap for Vision AI and Edge Intelligence capabilities
• Evaluate, adopt, and operationalize emerging AI technologies and system architectures

Required Skills & Experience

• Strong background in computer vision, deep learning, and production AI system development
• Proficiency in PyTorch, TensorFlow, or equivalent deep learning frameworks
• Hands-on experience with detection, segmentation, tracking, video analytics, or related vision AI applications
• Practical experience with model deployment and optimization using ONNX, TensorRT, or similar tools
• Proven ability to build and scale AI systems from prototype to production

Preferred Skills

• Experience with multimodal learning, vision-language models, foundation model adaptation, MLLMs, VLMs, or related multimodal AI systems
• Knowledge of Vision Agent concepts, including vision-language reasoning, video question answering, video summarization, visual grounding, and agentic interaction with live or recorded video streams
• Knowledge of distributed inference systems and cloud-edge collaborative architectures
• Experience with Kubernetes, containerized deployment, or cloud-edge infrastructure
• Background in real-time video processing, telecom systems, robotics, or Physical AI applications

Education & Qualifications

• Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Electrical Engineering, or related technical field
• Master’s or PhD preferred for senior candidates or candidates with strong research background
• Strong foundation in machine learning, deep learning, or applied mathematics is highly desirable

Experience Requirements

• Minimum 8 years of relevant industry experience in AI / Machine Learning / Computer Vision
• Expert in Nvidia Metropolis, experience in Nvidia Isaac, Cosmos and Omniverse desired
• Proven track record of delivering production-grade AI systems in real-world environments
• Experience in edge AI, real-time systems, or large-scale deployment is highly preferred

SynaXG, a dynamic force in the telecommunications industry, envisions becoming a global top-10 provider of O-RAN infrastructure in the 5G and Hyperconverged AI domain, with its headquarters situated in Singapore. The company's mission is centered around democratizing cellular technology, empowering ecosystem partners, and delivering cutting-edge products for both public and private network use. SynaXG boasts a leadership team with extensive entrepreneurial and operational experience, global business reach, and partnerships with Fortune 100 companies such as ARM, Nvidia, Marvell, and NXP.

SynaXG distinguishes itself by offering proven alternatives in an industry historically dominated by a few large vendors. The company's expertise spans research and development to large-scale commercial deployment, providing a complete line of solutions in the O-RAN infrastructure for 5G and Hyperconverged AI domains. SynaXG disrupts private networks with its end-to-end AI+5G solutions, emphasizing integration with nine Radio Unit (RU) vendors, nine Stack partners, and seven 5G core partners.

Technologically, SynaXG stands out as one of the few companies outside the top five vendors providing PHY software proven in large-scale commercial deployments. With comprehensive expertise in both 4G and 5G technologies, SynaXG offers a complete Arm-based 4G+5G O-RAN base station. The company's commitment to quality is underscored by certifications such as O-DU/O-RU fronthaul interfaces, certified by O-RAN with Keysight and Viavi test equipment, and integrations with multiple L2/L3 stacks and 5GC core networks.

SynaXG's most advanced AI+XG system, powered by NVIDIA GPU, harnesses the computing power at the edge, extending the capabilities of AI to mobile and wireless use cases. The company's global deployment footprint and the ongoing initiative of SynaXG in building smart connectivity position SynaXG as a frontrunner in addressing industry challenges. These include mitigating vendor lock-in, reducing operational expenses, providing carrier-grade solutions for non-incumbents, addressing power consumption concerns, and enabling dynamic allocation of computing resources and power by operators. SynaXG's comprehensive approach and innovative solutions make it a key player in shaping the future of cellular technology on a global scale.