CV Tech Lead

Company Overview

Sigmawave AI Pte. Ltd. is a Singapore-based AI infrastructure company and IMDA Pixel Startup Accelerator alumnus. We develop Terra, a Visual Synthetic Data platform generating photorealistic, annotated training data for AI in defence, security, infrastructure, and industrial sectors.

Job Summary

This role leads our computer vision work as a hands-on tech lead, building, training and deploying models while guiding a small team of computer vision engineers. The main product focus is our Video Management System (VMS), a centralised platform for live video monitoring, playback and event management, with Vision AI operations to deploy, monitor and validate models across large, multi-site environments. You will work alongside government agencies, GLCs and global technology leaders, giving broad exposure to the corporate and software world. This role is based in Singapore, working on-site with hybrid work-from-home days.

Responsibilities

• Build, train and evaluate models for object detection, segmentation, tracking, classification and video analytics
• Deploy and optimise models on edge devices and GPU servers, meeting throughput and latency targets
• Architect the computer vision parts of our systems, including video ingestion, inference pipelines, VMS integration and how detections feed into event analytics and situational awareness
• Keep model work reproducible through experiment tracking, benchmark datasets, versioning and field monitoring
• Lead and mentor a team of 2 to 5 computer vision engineers, setting technical direction and reviewing code and models
• Plan and estimate computer vision work, and support QA, project managers and clients on demos and acceptance

Requirements

• 5+ years in machine learning or software engineering, mostly computer vision, including 2+ years leading or mentoring engineers
• At least one computer vision model taken to production and used by real users
• Strong Python, PyTorch and OpenCV, plus a deployment toolchain such as ONNX, TensorRT or OpenVINO
• Solid system architecture skills: video streams, inference services, Docker and Linux, and an understanding of how event data from many sources is combined into operational insight
• Clear communication with engineers, project managers and clients
• Open to all applicants, but you must be able to work in Singapore, on-site with hybrid work-from-home days

Good-To-Have

• Experience working with Synthetic Data Generators (SDGs) or Visual Synthetic Data (VSDs)
• Participated in and delivered enterprise-grade or public sector projects
• Multi-camera tracking, re-identification or video analytics at scale
• NVIDIA Jetson, DeepStream or Triton
• C++ for performance-critical inference code
• Experience with video management systems such as Milestone XProtect, Axis Camera Station or Genetec Security Center, including camera integration over ONVIF and RTSP

How to Apply

• Send your CV and a short note on one computer vision system you took to production, what it did, and what you would do differently, to hr@sigmawave.ai.