Early Career Computer Scientist

About the Role

Seeking a computer scientist interested in applying expertise to advance the state of the art in managing high consequence systems for national security missions.

Key Responsibilities

• Apply knowledge of algorithms and the state of the art to complex problems.
• Develop software for high-consequence decision-making systems using Python, Bash, Ansible, and other automation tools.
• Collaborate using Git and GitLab while practicing feature-branch workflows, pull requests, commit deconfliction, and CI/CD pipelines.
• Deploy solutions in Linux environments (e.g., Red Hat Enterprise Linux (RHEL), Ubuntu), using containers such as Docker and Kubernetes; schedulers such as cron, systemd, and SLURM; and cloud and container registries.
• Identify opportunities to improve computational efficiency.
• Continuously learn about emerging technologies, research, and algorithms while collaborating with a diverse group of colleagues.
• Selected applicant must be able to work onsite.

Requirements & Tech Stack

• Python
• Bash
• Ansible
• Git
• GitLab
• CI/CD
• Linux environments (e.g., Red Hat Enterprise Linux (RHEL), Ubuntu)
• Docker
• Kubernetes
• cron
• systemd
• SLURM

Qualifications

We Require

• A Bachelor's degree in a relevant discipline, or an equivalent combination of directly relevant education and engineering or scientific experience.
• The ability to obtain and maintain a DOE Q clearance.

We Desire

• Graduate degree in Computer Science or a highly related field where an independent research project was a graduation requirement.
• Demonstrated software development skills and familiarity with modern software development practices and tools (e.g., Agile).
• Strong verbal and written communication skills.
• Ability to work effectively in multidisciplinary teams.
• A passion to improve and expand technical skills.
• Experience with programming languages and systems such as Ansible, Python, Bash, Linux, and container technologies.
• Experience using containers and virtualization to isolate untrusted software, including virtual networking, basic routing concepts, and network isolation.
• Fluency with Linux operating systems and software engineering practices.
• Ability to configure containers and Python environments and modify the shell path to include new libraries.
• Knowledge of container-composition tools, including Helm charts, Compose files, and Dockerfiles.
• Experience deploying web services, websites, servers, applications, or large language model (LLM) frameworks.
• Experience with configuration management and automation tools such as Ansible, Puppet, Chef, or Salt.
• Experience with CI/CD and scheduling, including cron or systemd timers, SLURM or Kubernetes job workflows, Bash-based pipelines, or GitLab runners.
• Experience applying networking fundamentals, including TCP and UDP, ports and firewalls, DHCP, DNS, and secure tunneling using SSH.
• Active DOE Q clearance.