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12 часов назад

GPU/FPGA Software Engineer

60 - 106$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
GPU/FPGA Software Engineer (GPU/FPGA): Developing high-throughput, low-latency acceleration pipelines and production-ready software for US government missions with an accent on FPGA and GPU architectures, C++/Python development, and hardware acceleration. Focus on optimizing GPU occupancy and memory usage, integrating high-speed IPs, and building end-to-end systems with Docker and FPGA toolchains.

Location: Annapolis Junction, Maryland, US; onsite role.

Salary: $60.70–$105.76 per hour.

Company

EverWatch provides software, defense, intelligence, and deployed support solutions for critical US Government missions.

What you will do

  • Architect and implement high-throughput, low-latency acceleration pipelines using FPGAs or GPUs.
  • Develop efficient software from concept through production-ready systems using C++, Python, Docker, APIs, analytics, and infrastructure.
  • Analyze current architectures and operating environments to support future functionality and enhancements.
  • Deliver complete end-to-end solutions using modern architectural approaches, open-source frameworks, and tools.
  • Identify and implement system improvements in an agile environment.

Requirements

  • TS/SCI clearance with a polygraph is required.
  • Bachelor’s degree and 20+ years of software engineering experience, or 24+ years of software engineering experience in lieu of a degree.
  • Experience architecting and implementing high-throughput, low-latency acceleration pipelines with FPGAs using RTL/HLS or GPUs using CUDA/HIP.
  • Experience with C++, Python, and Docker.
  • Understanding of GPU microarchitecture, including warp/wavefront schedulers, shared memory utilization, and occupancy optimization.
  • Experience with SystemVerilog, Verilog, or VHDL for FPGA development, or 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, or 100G Ethernet.

Nice to have

  • Experience with Agentic AI or machine learning.
  • Experience with Kubernetes or Docker Swarm.
  • Experience with Agile.

Culture & Benefits

  • Work in an exciting, agile environment focused on difficult US Government mission challenges.
  • Use modern architectural approaches, open-source frameworks, and tools.
  • Competitive salary and benefits package.
  • Employment is subject to a security investigation and eligibility requirements for classified information access.

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