Senior Software Engineer – AI Testbed (Remote)

Colorado State University; Chicago (IL); Remoto; USD 100.000 - 140.000; Tempo pieno

Descrizione del lavoro

Colorado State University is seeking a Senior Software Engineer to lead design and development of software and infrastructure for a national-scale AI testbed. You will manage edge devices, cloud services, and data pipelines while guiding junior engineers and coordinating with Northwestern University and Argonne National Laboratory.

The role emphasizes leadership, reliability, and scalable tooling, with hands-on coding and collaboration across research partners.

Competenze

• Bachelor's degree in computer science, computer engineering or a related field.
• Five years of direct experience supporting code, services, and deployments in production.
• Fluent in Linux, including scripting, user management, networking, package management, SSH, and debugging.
• Fluent in software engineering.

Mansioni

• Design and develop software for operating and scaling a distributed network of AI-enabled edge computing nodes.
• Build substantial custom tooling and infrastructure; ensure distributed fleet, cloud infrastructure, and data pipelines operations.
• Provide mentoring to students and junior engineers; develop deployment technologies at scale.
• Partner with collaborators to meet node and data expectations and manage documentation and certificates.

Conoscenze

Linux scripting

Distributed systems

Software engineering

Mentoring

Cloud services

Formazione

Bachelor's degree in CS/CE or related

Strumenti

Kubernetes

Prometheus

Grafana

InfluxDB

S3 storage

RabbitMQ

Redis

GitHub Actions

Ansible

Descrizione del lavoro

Colorado State University is seeking a Senior Software Engineer to lead design and development of software and infrastructure for a national-scale AI testbed. You will manage edge devices, cloud services, and data pipelines while guiding junior engineers and coordinating with Northwestern University and Argonne National Laboratory.

The role emphasizes leadership, reliability, and scalable tooling, with hands-on coding and collaboration across research partners.