GPU Software Engineer

Leidos•Arlington, VA

11h

About The Position

Today, Electronic Warfare (EW) is a growing enterprise - protecting the warfighter and our national security against ever-adapting threats. Our division currently has an exciting opportunity for a Software Engineer to perform design, development, and hardware/software integration in Arlington, VA for the Electronic Warfare Division. Our division primarily focuses on research & development and advanced prototyping, transforming state of the art signal processing algorithms into real-time software systems . 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 Electronic Warfare Technology!

Requirements

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
Must be willing to travel up to 10% of the time
A solid understanding of GPU programming and parallel computing architectures
Understanding signal processing algorithms written in MATLAB
Work with Linux operating system as well as experience with real-time operating systems

Nice To Haves

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

Responsibilities

Designing and implementing real-time signal processing algorithms on GPUs
Contributing to design and development of advanced systems as a part of multi-disciplinary teams
Achieving key project/program objectives and deliverables for entire projects or processes spanning multiple technical areas and independently managing large projects or processes
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
Designing, implementing, and testing software to configure and control RF hardware devices
Documenting the developed systems
Support system field testing and collection events