18 часов назад
Software Engineer IV – Edge Computing (GPU/FPGA)
127 236 - 192 900$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer IV – Edge Computing (GPU/FPGA): Defining modular edge software architectures and optimizing heterogeneous CPU, GPU, and FPGA systems for defense and space applications with an accent on open architecture standards, signal processing, autonomy, and constrained-environment performance. Focus on allocating workloads across heterogeneous processors, designing hardware-agnostic GPU acceleration, setting latency and SWaP budgets, and transitioning prototypes into programs of record.
Location: Folsom, California; Beavercreek, Ohio; or Long Beach, California. U.S. citizenship and U.S. Person status are required.
Salary: $127,236–$192,900 USD annually
Company
develops defense, national security, and space technologies for mission-critical applications.
What you will do
- Define modular, hardware-agnostic software architectures aligned with open standards such as SOSA, FACE, and MOSA.
- Lead implementation of signal processing and system autonomy algorithms using edge AI and parallel processing.
- Make system-level decisions about workload allocation across CPUs, GPUs, and FPGAs.
- Set latency, thermal, and SWaP performance budgets for embedded computing environments.
- Lead agile development cycles, mentor senior engineers, and promote GPGPU and DevSecOps practices.
- Present technical solutions to customers, partners, internal stakeholders, and government representatives.
Requirements
- Bachelor’s degree in Computer Science or Engineering from an accredited college or university.
- U.S. citizenship and eligibility to obtain and maintain a U.S. security clearance are required; an active clearance is preferred.
- Seven to ten years of software engineering design experience.
- Experience leading software engineering teams through the full development lifecycle.
- Experience leading engineering teams in a structured software product development environment.
- Strong organizational, technical communication, presentation, and stakeholder engagement skills.
Nice to have
- Master’s degree in Computer Science or Engineering.
- Experience optimizing software for SWaP-constrained environments.
- Open-source contributions in systems or HPC ecosystems.
- Experience with CPU/GPU/FPGA platforms and NVIDIA, JetPack, or Holoscan frameworks.
- Knowledge of GPU/NPU architecture, RF physics, digital signal processing, and defense domains such as SIGINT, EW, or communications.
Culture & Benefits
- Mission-focused work spanning defense, national security, and space technology.
- Paid time off and a comprehensive health benefits package.
- Retirement savings and wellness programs.
- Discretionary annual bonus plan and broader total compensation package.
- Equal employment opportunity and a community focused on innovation and technical excellence.
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