"Alerted.org

51836BR

Company:

General Atomics Aeronautical Systems

Job Summary:

General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.

The Perception Infrastructure Engineer designs, builds, and maintains the compute, data, and CI/CD infrastructure that enables the development, test, and deployment of advanced perception algorithms for multi-sensor systems.

This role bridges DevOps, software engineering, and systems integration to ensure scalable, reproducible environments for radar, EO/IR, and fused-sensor perception workloads executed on GPU-based platforms across simulation, lab, and flight environments.

DUTIES AND RESPONSIBILITIES:

+ Architect, deploy, and maintain on-prem and isolated network compute infrastructure supporting perception algorithm development and test (GPU servers, storage arrays, and networked development hosts).

+ Design and manage GitLab CI/CD pipelines for build, test, and container deployment of perception software baselines (C++, CUDA, Python, ROS2).

+ Support algorithm developers with containerized and reproducible environments for ML training, sensor simulation, and embedded inference (Docker, Podman, Singularity).

+ Implement and maintain infrastructure-as-code for provisioning and configuration management (Ansible, Terraform, or equivalent).

+ Manage integration of data management tools (DVC, MLflow, Git LFS) for large datasets, model artifacts, and version tracking.

+ Ensure secure network configuration and compliance with NIST SP 800-171 and corporate cybersecurity controls.

+ Optimize GPU cluster scheduling and resource utilization (e.g., Slurm, Kubernetes, or GitLab runners for H100-class nodes).

+ Collaborate closely with perception algorithm engineers, autonomy software leads, and IT security to deliver reliable, high-throughput development pipelines.

+ Support integration and test of perception software in hardware-in-the-loop and flight test environments

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.

Job ID#:

51836BR

Job Category:

Engineering

Travel Percentage Required:

0% - 25%

Full-Time/Part-Time:

Full-Time Salary

State:

California

Clearance Level:

Secret

Pay Range Low:

81,080

City:

Poway

Clearance Required?:

Desired

Pay Range High:

141,650

Recruitment Posting Title:

Perception MLOps Infrastructure Engineer

Job Qualifications:

+ Typically requires a bachelors, masters degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning engineering experience as follows; five or more years of experience with a bachelors degree or three or more years of experience with a masters degree. May substitute equivalent machine learning engineer experience in lieu of education.

+ Proficiency with Linux system administration, networking, and shell scripting.

+ Experience with GitLab CI/CD or comparable build automation systems.

+ Strong working knowledge of containerization (Docker/Podman) and environment reproducibility for development and deployment.

+ Familiarity with GPU compute environments (CUDA drivers, Slurm scheduling, NVIDIA management tools).

+ Demonstrated experience maintaining source control and artifact management systems (Git, DVC, Artifactory).

+ Excellent documentation and troubleshooting skills across heterogeneous systems.

+ _Desired Qualifications_

+ Experience supporting AI/ML or perception pipelines for radar, EO/IR, or autonomy applications.

+ Familiarity with C++, Python, and CUDA build environments.

+ Experience in air-gapped or classified network environments.

+ Knowledge of Kubernetes, MLflow, or Prometheus/Grafana monitoring.

+ Understanding of DoD cybersecurity frameworks (RMF, NIST 800-171, STIG compliance).

+ Prior experience in aerospace, defense, or autonomy systems integration.

+ _Soft Skills and Team Fit_

+ Highly collaborative — able to work alongside algorithm developers, autonomy engineers, and IT security.

+ Comfortable with rapid iteration, cross-functional coordination, and ownership of the end-to-end perception software lifecycle.

+ System thinker with a bias for automation, reproducibility, and mission readiness.

+ Ability to obtain and maintain a DOD security clearance required.

US Citizenship Required?:

Yes

Experience Level:

Mid-Level (3-7 years)

Relocation Assistance Provided?:

No

Workstyle:

Hybrid