Northrop Grumman is seeking a skilled CUDA Developer to design, optimize, and maintain a refactored time-critical process into a GPU-accelerated software solution.
Requirements
- Experience developing, maintaining, and optimizing GPU-accelerated code using NVIDIA CUDA and C++
- Debug and validate GPU computations to ensure accuracy and stability
- Experience with programming/scripting languages: C++, Python, Perl
- Knowledge and experience using the Red Hat Enterprise Linux operating system
- The ability to contribute to software documentation, technical reviews and code quality in accordance with standards
- Previous participation in an Agile scrum team or familiarity with the Agile process
- Familiarity with the Atlassian Tool Suite (Confluence, Jira, Bitbucket, Bamboo)
Responsibilities
- design, optimize, and maintain a refactored time critical process into a GPU-accelerated software solution
- design, code, and verify the required solution
- coordinate all deliveries, DR resolution, and baseline needs with external stakeholders
- Experience developing, maintaining, and optimizing GPU-accelerated code using NVIDIA CUDA and C++
- Debug and validate GPU computations to ensure accuracy and stability
- The ability to contribute to software documentation, technical reviews and code quality in accordance with standards
Other
- RELOCATION ASSISTANCE: Relocation assistance may be available
- CLEARANCE TYPE: SCI
- TRAVEL: Yes, 10% of the Time
- Active Single Source Background Investigation (SSBI) required at the time of application, and the ability to obtain Sensitive Compartmented Investigation (SCI) prior to start
- Excellent communication and interpersonal skills, with the ability to interface with all levels of employees, management, and stakeholders
