GPU Software Engineer

Description 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 the design and development of advanced systems as a part of multi‑disciplinary teams made up of software team members and subject matter experts from 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. Having a solid understanding of GPU programming and parallel computing architectures. Understanding signal processing algorithms written in MATLAB. Parallelizing 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 system such as VxWorks. Building software products that utilize third‑party mathematics and communication libraries. Integrating communication standards/protocols such as TCP/IP, UDP, and DDS. Working with Linux operating systems as well as real‑time operating systems. Designing, implementing, and testing software to configure and control RF hardware devices. Documenting the developed systems. Supporting system field testing and collection events. Being willing to travel up to 10% of the time. 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 an 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. Pay Range : $107,900.00 – $195,050.00 Benefits : Competitive benefits include 4 or more weeks of paid time off, 11 paid holidays, 401(k) with a 6% company match and immediate vesting, flexible schedules, discounted stock purchase plans, technical upskilling, education and training support, parental paid leave, and more. All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #J-18808-Ljbffr Leidos