2 дня назад
Software Engineer - Edge AI Systems
145 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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