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2 дня назад

Software Engineer - Edge AI Systems

145 000 - 200 000$
Формат работы
hybrid
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
Software Engineer - Edge AI Systems (LLMs/edge AI): Training, optimizing, and deploying LLM agents on tactical edge hardware for interfacing with sensors, effectors, and drone systems with an accent on model fine-tuning, runtime performance, and fail-safe reliability. Focus on designing multi-agent systems, integrating AI with constrained GPU/CPU and accelerator platforms, and evaluating performance in high-stakes defense environments.

Location: Seattle, WA, United States; hybrid workplace

Salary: $145,000–$200,000 per year, excluding potential bonuses, benefits, and long-term incentives.

Company

hirify.global builds software for data-driven decisions and operations across critical institutions, including defense and supply chain organizations.

What you will do

  • Train and fine-tune LLMs and specialized AI models for tactical edge applications.
  • Optimize model performance across GPU, CPU, and specialized accelerator hardware.
  • Design and implement multi-agent systems for mission scenarios.
  • Integrate LLM agents with sensors, effectors, and drone systems.
  • Benchmark agent capabilities, performance, and reliability.
  • Build scalable, robust, and fail-safe production systems for high-stakes environments.

Requirements

  • 5+ years of professional software development experience.
  • 2+ years contributing to system design or architecture, including reliability and scaling.
  • Experience building and deploying LLMs and LLM agents with PyTorch, HuggingFace Transformers, LangChain, and vLLM.
  • Strong proficiency in Rust, Python, or C++.
  • Bachelor’s, master’s, or PhD in Computer Science, Physics, Mathematics, or a related field.
  • Active US security clearance or eligibility and willingness to obtain a US security clearance.

Nice to have

  • Experience with edge AI optimization tools such as Ollama, Mojo, TVM, TensorFlow Lite, and vLLM.
  • Defense-sector experience, particularly with weapon and UxV systems.
  • Experience optimizing AI models and runtime performance for edge hardware.

Culture & Benefits

  • Hybrid work with employees encouraged to spend time in the office; many teams support working from home one or two days per week.
  • Medical, dental, vision, life, AD&D, and disability insurance options.
  • Relocation assistance, commuter benefits, and a 401(k) plan.
  • Flexible paid time off, year-end paid time off, and 10 paid holidays.
  • Parental leave, backup care, fertility and family-building benefits, and supportive leave programs.

Hiring process

  • The application and interview process provides reasonable accommodations for candidates with disabilities.

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