The successful candidate will be responsible fordesigning and implementing real-time signal processing algorithms on GPUs. If this sounds like you, please keep reading.
You will be responsible for:
- Contributing to design and development of advanced systems as a part of multi-disciplinary teams. These teams are made up of other software team members and subject matter experts from the areas of systems engineering, hardware, firmware, machine learning, RF front end design, and signal processing.
- Achieving key project/program objectives and deliverables for entire projects or processes spanning multiple technical areas and independently managing large projects or processes
- A solid understanding of GPU programming and parallel computing architectures
- Understanding signal processing algorithms written in MATLAB
- Parallelization of existing algorithms
- Decomposing complex signal processing chains into discrete components and kernels
- Hand crafting CUDA kernels for high performance
- Designing and implementing multi-threaded software architectures
- Designing, implementing, and testing high speed data transfer / Latency codes
- Designing, implementing, and testing real-time C/C++ software for multi-core systems running Linux operating systems
- Build software products that utilize third party mathematics and communication libraries
- Interface communication standards / protocols such as TCP/IP, UDP, and DDS
- Work with Linux operating system as well as experience with real-time operating systems
- Documenting the developed systems
- Support system field testing and collection events
The successful candidate will have the following education/experience:
- Bachelors Degree in Computer Engineering, Electrical Engineering, or Computer Science
- 3+ years of software development experience, including strong experience in C/C++ software development
- Experience with NVIDIA development and profiling tools and libraries
- Experience using version control (Subversion, GIT, etc.) and continuous integration software tools
- Must be able to obtain and maintain a DoD Secret clearance. (U.S. Citizenship is required)
Bonus education/experience:
- Masters Degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent
- Experience with Machine Learning and/or Artificial Intelligence algorithms and libraries, such as TensorFlow
- Experience with MATLAB GPU coder tool
- Experience with High Performance Computing including parallel and distributed computation
- Experience with Model-Based Design code generation practices
- Experience with other programming languages such as Java
Original Posting:August 9, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range $69,550.00 - $125,725.00
The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
