| Data System Software Application Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: anilj, RBC [email protected] Reply to: [email protected] Data System Software Application Engineer Work Location: This position is required to work on-site in Pasadena, CA Security Clearance: An active TS/SCI clearance is required Education /Work Experience: Bachelors degree in Computer Science or related engineering discipline with a minimum of 5 years of related experience; or Masters degree in Computer Science or related engineering discipline with a minimum of 3 years of related experience Responsibilities include, but are not limited to: Developing, reviewing, testing, and maintaining various tools and algorithms (written primarily in Python and MATLAB) for simulations and analyses of imaging systems. Working with a large system engineering and analysis team to define/provide the necessary infrastructure, processes, and software engineering discipline to enable the seamless execution of complex end-to-end simulations and analyses. Assist in the ongoing software development of the Image Chain Analysis in Python (ICAP) and System for End-to-End Results (SEER). Assisting in the architecting/deployment of computing resources and systems in Amazon Web Services (AWS). This position requires a U.S. Citizen who is eligible to obtain any required Export Authorization Mandatory Requirements 1. Experience with programming in Python on a Linux environment 2. Experience with Agile/Scrum development processes 3. Experience with DevOps/DataOps (Git, GitLab, JIRA, Docker, Artifactory) 4. Experience with CI/CD processes and pipelines 5. Strong critical thinking and problem-solving abilities 6. Strong written and verbal communication skills and ability to work in a team environment 7. Ability to learn new software techniques and mathematical algorithms 8. Experience in cloud-based development (e.g. AWS or Azure) Optional Skills 1. Background in mathematics or machine learning. 2. Background in computer vision: image processing, object detection/tracking. 3. Experience with Docker containers and container orchestration with Kubernetes 4. Familiarity with virtual environments (Anaconda) 5. Familiarity with Dask or similar scientific data processing pipeline 6. Experience with MATLAB 7. Experience managing software build processes with CMake in Linux environment 8. Experience working with a team to turn prototype algorithms into delivered software products. 9. Understanding of concepts of large-volume data processing 10. Understanding and application of standard software engineering principles, especially with respect to unit and regression testing. Keywords: continuous integration continuous deployment California Data System Software Application Engineer [email protected] |
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| Fri Apr 19 02:41:00 UTC 2024 |