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About This Role
- For nearly a decade, Intel's Neuromorphic Computing Lab-together with a global ecosystem of 250+ research groups-has explored architectures, algorithms, and software inspired by the brain's extraordinary efficiency, scalability, and adaptability.
- Our Loihi series of research chips pioneered event-driven, sparse, and massively parallel neuro-inspired processing, fueling over 100 peer-reviewed publications that validate the promise of this novel approach.
- Now, we're entering an exciting new chapter: transforming these breakthroughs into real-world products that will power the coming era of physical AI systems beyond the reach of GPUs and mainstream AI accelerators.
- If you are passionate about pushing the boundaries of computing, from transistor-level innovation to software abstractions, join us.
- Help define the next wave of AI technology that harnesses the proven advantages of Intel's neuromorphic computing technology with the versatility demanded by modern AI workloads.
- About the Organization: As part of Intel's CTO Office, you will join a vertically integrated incubation effort dedicated to bringing Intel's neuromorphic technology innovations to market.
- Our diverse team of engineers and researchers have pioneered sparse, event-based, neuromorphic architecture over multiple generations and is now focused on commercializing the technology in future Intel and partner products.
- Position Overview: You will lead the architecture of Intel's neuromorphic AI software stack and SDK, enabling developers to build high-performance physical AI applications while driving technical strategy, influencing HW/SW co-design, and accelerating ecosystem adoption.
What You'll 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.
- Provide excellent communication and leadership.
- Support industry standards and represent Intel in technical forums.
- Open-source projects.
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).
- Experience with ecosystem development and external partners.
Nice to Have
- MSc or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.
- Experience in any of the following: Low-level systems and accelerator programming (CUDA, LLVM, OneAPI, OpenCL, SYCL).
- Parallel computing paradigms and performance optimization.
- Profile and benchmarking algorithms and hardware architectures.
- Unconventional AI hardware accelerators and neuromorphic computing.
- Software for robotics and edge/embedded systems.
- Software architecture roadmaps for emerging technologies.
- Machine learning and AI algorithms.
Benefits
- We offer a total compensation package that ranks among the best in the industry.
- It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.
- Find out more about the benefits of working at Intel .
- Annual Salary Range for jobs which could be performed in the US: $195,200.00-361,200.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations.
- Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
- Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Sourced directly from Intel’s career page
Your application goes straight to Intel.
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Specialisation
Open roles at Intel
712 positions
Job ID
/job/US-Oregon-Hillsboro/AI-Software-Architect---Neuromorphic-Computing_JR0279982
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