Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Вакансия предлагает специализированную работу с GPU и FPGA и четко описывает задачи, но требование допуска TS/SCI с полиграфом и опыта от 20 лет заметно сужает круг тех, кому она доступна.
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Высокий порог допускаСовременные технологииЧеткие задачиОборонная сфера
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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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