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The successful candidate will be responsible for designing and implementing real-time signal processing algorithms on GPUs.

The successful candidate 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 bespoke 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 or a real-time operating systems, such as VxWorks
• 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
• Designing, implementing, and testing software to configure and control RF hardware devices
• Documenting the developed systems
• Support system field testing and collection events
• Must be willing to travel up to 10% of the time

At Leidos, we offer competitive benefits http://www.leidos.com/careers/pay-benefits, including 4 or more weeks Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more.  Join us and make a difference in Advanced Warfare Technology! 

The successful candidate will have the following education/experience:

• Bachelor’s Degree in Computer Engineering, Electrical Engineering, or Computer Science
• 8+ years of software development experience, including strong experience in C/C++ software development
• Experience with Government open architectures for real-time systems, such as Big Iron or Cobra
• Experience with NVIDIA development and profiling tools and libraries, including Compute Sanitizer, NCU, cuBLAS, cuFFT, cuSOLVER, and cuRAND 
• Experience using version control (Subversion, GIT, etc.) and continuous integration software tools (Jenkins)
• Must have active Secret level security clearance with the ability to obtain a TS/SCI.

Bonus education/experience:

• Master’s Degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent
• Existing security clearance higher than the Secret level
• 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 cloud-based computing platforms, such as Amazon Web Services (AWS)
• Experience with other programming languages such as Python and/or Java

AWTLINC

Come break things (in a good way). Then build them smarter.

We're the tech company everyone calls when things get weird. We don’t wear capes (they’re a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for “how it’s always been done.”

Original Posting:

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:

The Leidos pay range for this job level is a general guideline only and 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.