Principal Machine Learning Engineer - Neuromorphic Computing
We are looking for a Principal Machine Learning Engineer to join our cutting-edge hardware team in San Jose. This isn't just about writing code; it's about designing the silicon that will power the next generation of AI. We are building chips that function like the human brain—efficient, fast, and incredibly smart. If you have a background in both ML algorithms and hardware architecture, this is the place to be.
Job Responsibilities
- Design and test Spiking Neural Networks (SNNs) for specific chip architectures.
- Work closely with hardware engineers to optimize low-power AI performance.
- Develop simulation environments to validate chip designs against standard AI benchmarks.
- Lead the transition of complex ML models into hardware-friendly formats.
Requirements - المتطلبات
English:
- PhD or Master’s in Computer Engineering, AI, or a related field.
- Deep knowledge of PyTorch, TensorFlow, and hardware description languages.
- Experience with neuromorphic frameworks like Nengo or Lava is a huge plus.
- Hands-on experience in low-power chip design or RTL.
بالعربية:
- شهادة دكتوراه أو ماجستير في هندسة الحاسوب أو الذكاء الاصطناعي.
- خبرة عميقة في الأطر البرمجية مثل PyTorch وTensorFlow.
- فهم قوي لتصميم الرقائق والأنظمة منخفضة الطاقة.
- القدرة على العمل في بيئة بحثية وتطويرية متقدمة في سان خوسيه.
How to Apply - كيفية التقديم
If you're ready to build the future of AI hardware in San Jose, we want to hear from you. Please send your updated CV and a brief cover letter explaining your experience with neuromorphic systems to hr@sj-ai-tech-designs.com. Mention "Principal ML Engineer" in the subject line.
للتقديم، يرجى إرسال السيرة الذاتية إلى البريد الإلكتروني المذكور أعلاه. نحن نتطلع لمقابلتكم في سان خوسيه!