TL;DR

AI Software Architect (Neuromorphic Computing): Leading the architecture of %hirify_global%'s neuromorphic AI software stack and SDK for real-world physical AI systems with an accent on defining technical vision, scalable AI stack delivery, and ecosystem integration. Focus on HW/SW co-optimization, driving open standards, and enabling high-performance physical AI applications.

Location: Hybrid work model. Must be based in the US (Hillsboro, Folsom, Santa Clara, Austin, Phoenix).

Salary: $195,200.00-361,200.00 USD

Company

%hirify_global%'s CTO Office is dedicated to bringing neuromorphic technology innovations to market, focusing on leveraging technology innovation and incubation to drive commercial success for disruptive AI solutions.

What you will do

Define and drive technical vision for neuromorphic AI software architecture.
Architect and deliver a scalable AI stack, from model optimization to compiler and runtime, built on open standards.
Integrate neuromorphic software into leading robotics, IoT, and sensing frameworks to enable broad ecosystem adoption.
Mentor and guide engineering teams, fostering best practices in software design.
Collaborate with customers and partners to design optimized algorithms and applications.
Partner with hardware architects to co-optimize HW and SW for performance and scalability.

Requirements

BS in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related field with 6 years of experience.
Experience in leading architecture for complex AI systems.
5+ years in compiler development and AI deployment frameworks (Triton, MLIR, IREE, ONNX, OpenVINO, TVM, XLA).
5+ years in software architecture and design methodologies for scalable systems.
5+ years’ experience in programming skills in Python and C/C++, with writing production-grade code.
3+ years of experience with deep learning, mathematical optimization, or AI frameworks (PyTorch, JAX, TensorFlow).

Nice to have

MSc or PhD in Computer Science or related fields.
Experience with low-level systems and accelerator programming (CUDA, LLVM, OneAPI, OpenCL, SYCL).
Experience with parallel computing paradigms and performance optimization.
Experience with unconventional AI hardware accelerators and neuromorphic computing.
Experience with software for robotics and edge/embedded systems.

Culture & Benefits

Total compensation package including competitive pay, stock bonuses, and benefit programs (health, retirement, vacation).
Hybrid work model allowing employees to split their time between working on-site at assigned %hirify_global% sites and off-site.
Committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices.