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GPU/FPGA Software Engineer

Everwatch Annapolis Junction, MD

Annapolis Junction, MD

Today

$60 - $105/hr Full time Data Processing Engineer Engineering

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Job Description

Everwatch is seeking a GPU/FPGA Software Engineer to build end-to-end, production-ready software systems in an agile environment. This onsite role in Annapolis Junction, MD focuses on high-throughput, low-latency acceleration pipelines, with the opportunity to apply modern architectural approaches and open-source frameworks while helping improve systems over time.

The work spans the full lifecycle, from vision through production, with a strong emphasis on integrating compute acceleration (FPGAs or GPUs) and high-speed interfaces. You will analyze current environments to ensure solutions align with existing architectures while still supporting future functionality and enhancements.

Responsibilities

Develop efficient, effective software from vision through a production-ready system in an agile environment
Apply modern architectural approaches using open-source frameworks and tools to deliver complete end-to-end solutions to clients
Analyze the environment to ensure solutions account for the current architecture and operating environment, plus future functionality and enhancements
Identify and help implement system improvements
Collaborate with the team to build systems that create change for the better

Requirements

Experience architecting and implementing high-throughput, low-latency acceleration pipelines using FPGAs (RLT/HLS) or GPUs (CUDA/HIP)
Experience with C++, Python, and Docker
Understanding of GPU microarchitecture, including warp/wavefront schedulers, shared memory utilization, and occupancy optimization
Experience with FPGA development using SystemVerilog, Verilog, or VHDL, plus C/C++ for HLS
Experience with AMD/Xilinx Vivado, Vitis, or Intel Quartus Prime
Experience integrating high-speed IPs such as PCIe Gen 4/5, DDR4/5, HBM, and 100G Ethernet
TS/SCI clearance with a polygraph
Bachelor's degree and 20+ years of software engineering experience, or 24+ years of software engineering experience in lieu of a degree

Technologies

FPGAs (RLT/HLS); GPUs (CUDA/HIP)
C++, Python, Docker
SystemVerilog, Verilog, VHDL; HLS
AMD/Xilinx Vivado, Vitis, Intel Quartus Prime
PCIe Gen 4/5, DDR4/5, HBM, 100G Ethernet
TS/SCI clearance with polygraph

Nice to Have

Experience with Agentic AI
Experience with Machine Learning
Experience with Kubernetes or Docker Swarm
Experience with Agile

Clearance note: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. TS/SCI clearance with polygraph is required.

Compensation: USD 60–105 per hour.

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