Acoustics, Background Investigation, Communication Skills, Computer Science, Customer Support/Service, Docker, GPU (Graphics Processing Unit), Graphical User Interface (GUI), K Virtual Machine (KVM), Kernel Programming, Linux Operating System, NoSQL, Platform as a Service (PaaS), Presentation/Verbal Skills, Python Programming/Scripting Language, REST (Representational State Transfer), Requirements Management, SQL (Structured Query Language), Secret Clearance, Software Administration, Software Architecture, Software Engineering, United States Citizen, User Interface/Experience (UI/UX), Writing Skills
VTG is seeking a an Associate or Senior Associate Software Engineer to work with our software for modeling acoustic beampatterns for submarine sonar arrays. The SW is primarily Python-based and is containerized and hosted in a Kubernetes environment. This role will involve developing and updating interfaces between front end and back end, updating the code architecture to scale up and enable more parallel instances, configuring the code to work with GPUs, and various other performance updates. Tasking may also include some GUI development and updating the tool to work on additional systems and platforms.
This position will support our customer in Manassas, VA.
Responsibilities:
- Develop and maintain interfaces as the backend tool scales and evolves
- SW performance and architecture updates
- Communicate requirements and interface definitions clearly with cross-company partners
Qualifications:
Required Qualifications:
- Bachelor’s in Computer Science, Data Engineering, or similar
- Proficient with Python
- Proficient with RESTful/gRPC
- Experience with Linux systems
- Excellent verbal and written communication skills
- Initiative, innovation, and resourcefulness
- Successful completion of background check
- Ability to obtain and maintain a Secret clearance
- Must be a U.S. citizen
Desired Qualifications/Skills/Abilities:
- One+ years relevant specifically with SQL or NoSQL
- Knowledgeable with modern PaaS environment tools such as Kubernetes, Docker, Podman, KVM, and Helm
- Experience with CuPy or Numba for writing GPU kernels in Python
- Experience with Python’s multiprocessing library
- Experience with shell scripting languages