GPU Software Engineer

Leidos, Inc.
Arlington, VA, United States
25 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$69,550.0 - $125,725.0
Working hours
Regular working hours
Job source

Tech stack

Testing (Software) Java (Programming Language) Artificial Intelligence Amazon Web Services Computing Platforms Systems Engineering C++ (Programming Language) Cloud Computing Code Generation Profiling Nvidia CUDA Computer Engineering
+33 more
Continuous Integration Data Transmissions Linux Firmware Python (Programming Language) MATLAB Machine Learning Multiprocessing Software Architecture Real-Time Operating Systems Software Tools Tensorflow Signal Processing Software Engineering Subversion Systems Integration TCP/IP VxWorks Multithreading Graphics Processing Unit (GPU) Model-Driven Development High Performance Computing Real Time Systems Parallel Computation Cobra Gpu Programming Git Information Technology Low Latency Front End Software Development Software Version Control Jenkins Programming Languages

Job 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 support:

  • 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.

  • An understanding of GPU programming and parallel computing architectures

  • Grow and develop experience in:

  • 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

Requirements

  • Bachelor’s Degree in Computer Engineering, Electrical Engineering, or Computer Science and 2+ years of experience for a Master’s degree and relevant experience.

  • 2+ 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

Benefits & conditions

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits .

About the company

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!, If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 - and moving faster than anyone else dares., Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com .

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