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