What are the responsibilities and job description for the DevOps Software Developer position at 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.
DUTIES & RESPONSIBILITIES:
Job Qualifications
Salary range: 87,070 - 132,963
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.
DUTIES & RESPONSIBILITIES:
- SysAdmin role which is responsible of making sure the autonomy group's IT infrastructure, including servers, networks, and software, operates securely and efficiently.
- Determine user requirements and specifications and plan for software development within the broader organizational scope.
- Design data pipelines and engineering infrastructure to support enterprise level operationalization
- Work as part of an interdisciplinary team to productionize models for air-to-air and air-to-ground combat operations
- Develop and deploy scalable tools and services for rapid training and inference at the edge
- Identify and evaluate new technologies to improve performance, maintainability, and reliability systems
- Apply robust software engineering best practices to ecosystem, including CI/CD, automation, etc.
- Support stable and repeatable model development, with an emphasis on traceability, version control, adversarial robustness and data security
- Help develop and deploy proof-of-concept machine learning systems to the warfighter
- Communicate with stakeholders to develop roadmaps and implementation schedules
- Performs other duties as assigned or required
Job Qualifications
- Typically requires a bachelor’s degree in computer science, information systems or related discipline and two or more years progressive software development experience with a bachelor’s degree. May substitute equivalent experience in lieu of education.
- Must understand machine learning development concepts, principles, and theory and demonstrate complete understanding and model development and analysis concepts.
- Experience building end-to-end systems focused on productionizing AI/ML technology in a distributed computing environment
- Must possess the ability to understand new concepts quickly and apply them accurately throughout an evolving environment.
- Ability to organize, schedule, and coordinate work phases and, determine the appropriate approach at the task level or, with assistance, at the project level and to provide solutions to a range of complex problems.
- Must have strong communication, computer, documentation, presentation, and interpersonal skills, ability to work independently and as part of a team; and, lead a team of less experienced professional employees on semi-routine tasks.
- Experience using/configuring/maintaining the following technologies:
- Source code and data control repositories (GIT, SVN, MLFlow, DVC, S3 etc.)
- Continuous Integration Environment (Jenkins, Gitlab, etc.)
- Linux and associated technologies (RedHat based)
- Provisioning tools (Puppet, Ansible, Terraform, etc.)
- Package managers and associated tools (RPMs, Yum, Pypi, pip, Artifactory, etc.)
- Hypervisors (VMWare, VirtualBox, QEMU, etc), containers (Docker, Podman, etc), and related tools (Vagrant, Packer, Kubernetes, etc.)
- Webservers and associated tools (Apache, NGINX, etc)
- Virtual Desktop Infrastructure (VDI), Desktop as a Service (DAAS), "golden image" creation, and related virtualization technologies
- Cloud computing infrastructure (AWS, Azure, etc.)
- CI/CD pipelines and orchestration of distributed AI/ML compute
- Software process automation with popular scripting languages (Python, Bash, Powershell, Ansible)
- Experience developing code in at least one high-level programming language (C#, C , Python, and/or Java)
- Experience developing machine learning models using scikit-learn, Keras, PyTorch, Tensorflow, etc.
- Ability to understand tools used by data scientists and experience with automation of these processes
- Ability to obtain and maintain a DoD Security Clearance is required.
Salary range: 87,070 - 132,963