Architect secure, privacy-preserving on-device AI solutions.
Collaborate with scientists on edge distributed training techniques.
Implement on-device monitoring for continuous model improvement.
Develop model compression to enable AI at the edge.
Apply state-of-the-art techniques to improve fairness, performance, and scalability.

🎯 Requirements

Bachelor’s Degree in CS, Engineering, Physics, Mathematics or equivalent.
10+ years of software engineering on large-scale distributed platforms.
Experience with AI on chips and on-device deployment.
Proficiency in Python, C++, and ML frameworks (TensorFlow, PyTorch).
Advanced knowledge of on-chip development.
Strong communication with scientists, engineers and PMs.

🎁 Benefits

Competitive salary and 401k with employer match.
Discretionary paid time off.
Paid parental leave for all.
Medical, Dental, Vision plans.
Emotional & Mental Wellness support.
Learning & Development programs.

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