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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