Lead Software Engineer (ML Infrastructure, Computer Vision, Nvidia Ecosystem)
Location: Remote, 3 days a week
Employment Type: Contract
Overview
We are seeking an exceptional Lead Software Engineer with deep expertise in machine learning infrastructure, computer vision engineering, cloud-native architecture, and the Nvidia Enterprise ecosystem. This role is ideal for a senior technologist who can lead teams, architect high-performance AI systems, and deliver enterprise-grade platforms across both edge and cloud environments .
Core Skills & Experience
5+ years software engineering experience with strong Python skills.
Proven delivery of enterprise-scale ML/CV platforms.
Expertise with Nvidia Enterprise, including Metropolis, DeepStream, A100, and Jetson.
Strong background in computer vision, edge-AI, industrial cameras, and real-time processing.
Deep experience with Kubernetes, Docker, DevOps, and cloud architecture (AWS/Azure).
Strong understanding of MLOps & AI infrastructure best practices.
Experience with digital twins or virtualised industrial environments.
Desirable
Experience with C#, WPF, or embedded firmware development.
Knowledge of industrial automation systems, PLCs, motion controllers, and robotics.
Familiarity with PKI, cryptography, and cloud security.
Experience building high-throughput data pipelines and observability platforms
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