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  • Company Name Not Available

HPC/Full-Stack Infrastructure Engineer

Location: Remote, Africa

Full Time

About the Startup

We are an early-stage, Africa-based, remote-first stealth startup developing physics- and science-informed AI systems to address complex scientific and environmental challenges. At the very start of our journey, we are laying the foundations for tools that combine advanced computational methods, spatial intelligence, and data-driven modeling to generate actionable insights across scientific and environmental domains.

Our approach is mission-driven, focusing on applying rigorous scientific methods and AI/ML to environmental and climate challenges in Africa. We cultivate a collaborative, multidisciplinary culture that values careful experimentation, curiosity, and practical impact.

Our team is remote-first across Africa, allowing talented individuals to contribute from anywhere on the continent while participating in a community committed to innovation, learning, and meaningful scientific impact.

Core principles and benefits of working with us include:

  • Mission-driven impact: Contribute to initiatives that apply rigorous science and AI/ML to strengthen environmental and climate understanding across Africa
  • Flexible, remote work: Collaborate with an Africa-based team from anywhere on the continent
  • Growth Opportunity: Access to professional learning platforms and resources for continuous skill development
  • Collaborative culture: Join a multidisciplinary, values-aligned team operating at the intersection of science, technology, and social impact
  • Highly competitive compensation and equity options: Receive packages that reflect your expertise and contributions, with the potential to gain equity in the company
  • Access to cloud services, latest development tools, and freedom to experiment

 

Role Overview

We are looking for a highly skilled HPC / Full-Stack Infrastructure Engineer to architect and manage the compute, data, and deployment backbone of our scientific AI systems. You will build and scale infrastructure that supports climate modeling, geospatial pipelines, and physics-informed machine learning workloads.

Key Responsibilities

  • Architect, deploy, and maintain high-performance computing (HPC) environments
  • Build reliable data and model pipelines for scientific AI workloads
  • Implement MLOps and DevOps systems for model training, evaluation, and deployment
  • Optimize compute workflows (GPU clusters, Kubernetes, distributed systems)
  • Manage APIs, backend services, cloud infra, and developer tooling
  • Ensure secure, scalable, and efficient infrastructure across the stack

Requirements

  • 3-5 years experience in DevOps Engineering/Infrastructure Engineering, or similar roles
  • Expertise in Linux systems, Docker, Kubernetes, GPU computing
  • Experience with HPC or distributed training frameworks (Ray, MPI, Dask, Slurm)
  • Strong backend engineering experience (Python, Go, or Node.js)
  • Experience with cloud platforms (AWS, GCP, Azure)
  • Understanding of CI/CD pipelines and infrastructure-as-code (Terraform, Ansible)
  • Experience supporting scientific or ML teams is a strong plus
  • Comfortable communicating in English, both written and verbal

Preferred

  • Experience building HPC or scientific compute systems in production
  • Knowledge of satellite data pipelines, climate data, or scientific computing
  • Familiarity with physics-informed ML or numerical modeling workloads

 

Desired Skills

How to Apply

Find more details here https://www.notion.so/Geospatial-Remote-Sensing-Engineer-2b38d7ddd33580a7b205d59cb0a5528a

Posted: Dec. 6, 2025

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