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3 дня назад

Staff Edge Compute Systems Engineer (Aerospace)

102 000 - 170 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff Edge Compute Systems Engineer (Aerospace): Designing and deploying GPU-accelerated onboard compute platforms for autonomous space systems with an accent on embedded software, hardware architecture, and on-orbit AI/ML integration. Focus on optimizing performance under strict spaceflight constraints, integrating with spacecraft avionics, and ensuring reliability in mission-critical environments.

Location: Must be based in Westminster, CO

Salary: $102,000–$170,000 annually

Company

hirify.global is a technology company focused on spatial intelligence and autonomous space systems.

What you will do

  • Contribute to the architecture and development of GPU-accelerated onboard compute platforms for flight deployment.
  • Design and optimize GPU-accelerated compute stacks for on-orbit AI/ML inference.
  • Develop high-performance C/C++ components for mission-critical embedded systems.
  • Integrate compute subsystems with spacecraft avionics, sensors, and telemetry systems.
  • Lead full-stack performance optimization, including memory management and runtime tuning.
  • Conduct system bring-up, hardware-in-the-loop validation, and flight-representative testing.

Requirements

  • Must be a U.S. citizen (eligible for U.S. Government Secret security clearance).
  • Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, or equivalent.
  • Significant experience in space, aerospace, or mission-critical embedded systems.
  • Strong C/C++ expertise for performance-critical, real-time systems.
  • Experience with Linux-based embedded platforms and cross-compilation.
  • Experience deploying or optimizing AI/ML inference workloads in edge environments.

Nice to have

  • Experience with NVIDIA GPUs and CUDA.
  • Familiarity with AI/ML inference acceleration frameworks like TensorRT or ONNX Runtime.
  • Exposure to radiation-aware design or flight-qualified hardware.
  • Background in distributed, fault-tolerant, or autonomous systems.

Culture & Benefits

  • Competitive total rewards package including 401(k) with company match.
  • Mental health resources and wellness support.
  • Unique perks including student loan repayment assistance and pet insurance.
  • Incentive-eligible role based on contribution and company performance.

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