Autonomous Systems Evaluation Data and Software Engineer

Johns Hopkins Applied Physics Laboratory•Laurel, MD

15h•Onsite

About The Position

We are seeking a Data and Software Engineer to help us perform data management and analysis through advanced software and data pipelines enabling the test and evaluation of autonomous maritime systems. You will join a hardworking team of engineers who cultivate an energetic agile-concept development environment developing analysis tools, visualization, and maritime sensor software for the Navy's emerging uncrewed systems fleet across a diverse portfolio of projects from advanced concepts to systems operated in theater. Your primary responsibility will be to perform data and software engineering enabling analysis of autonomous platform performance. This is to include requirements development, object-oriented design, data modeling, software development, laboratory system integration and testing, data pipeline development, and field testing. You will install and configure crucial analysis capabilities at APL, in the field, and within government cloud systems. This includes unique opportunities to understand the growing area of maritime autonomous systems. You will propose and develop innovative ways to apply cutting-edge technologies to extend the capabilities and performance of existing naval systems. You will document data and software engineering activities enabling the documentation of experimental test results, prepare for and conduct periodic design reviews, as well as, technical reports and other briefing materials for presentation to sponsors.

Requirements

B.S. in Computer Science, Computer Engineering, Data Engineering, or a related technical field.
2+ years of relevant experience in data and software engineering using Python, C#, or JavaScript, including frameworks such as Angular or React, in highly virtualized, Linux-based cloud environments.
Communicate effectively with staff and clients at all levels.
Willing and able to travel up to 10% of the time.
Able to obtain an Interim Secret-level security clearance by your start date and ultimately obtain a Secret-level clearance.
U.S. citizenship.

Nice To Haves

M.S. in Computer Science, Computer Engineering, Data Science, or a related field.
Four or more years of experience developing software for vehicle performance assessment and analysis within distributed systems environments.
Expertise in data modeling, ETL/ELT pipelines, cloud data warehouses and lakehouses, orchestration tools, and distributed or streaming systems.
Experience with Git, Docker, infrastructure as code, data quality and testing, security and governance, and monitoring.
Demonstrated ability to communicate effectively with both technical and business teams.
Experience developing and deploying cloud-ready software in containerized environments using technologies such as Docker, Podman, or Kubernetes.
Experience with full-stack software development.

Responsibilities

Perform data and software engineering enabling analysis of autonomous platform performance.
Requirements development.
Object-oriented design.
Data modeling.
Software development.
Laboratory system integration and testing.
Data pipeline development.
Field testing.
Install and configure crucial analysis capabilities at APL, in the field, and within government cloud systems.
Propose and develop innovative ways to apply cutting-edge technologies to extend the capabilities and performance of existing naval systems.
Document data and software engineering activities enabling the documentation of experimental test results.
Prepare for and conduct periodic design reviews.
Prepare technical reports and other briefing materials for presentation to sponsors.