Neuromorphic AI Software Framework Lead (f/m/d)
Intel Corporation
Santa Clara, Fully Remote - Germany
Job posting number: #7289677 (Ref:JR0267895)
Posted: October 27, 2024
Job Description
Job Description
Intel's Neuromorphic Computing Lab is seeking an AI Software Development Lead to help overcome the challenges of programming neuromorphic systems and enable the commercial deployment of Intel's neuromorphic computing technology to a mainstream AI developer ecosystem. Neuromorphic computing takes inspiration from biological systems to realize vastly more efficient and adaptable AI than what is possible with today's conventional computing architectures. Intel's Loihi series of neuromorphic processors have advanced the frontier of application research with over 100 peer-reviewed publications from a Loihi developer community of over 250 research groups worldwide. These results confirm the promise of the technology to bring breakthroughs in energy efficiency and performance to tasks spanning perception, planning, learning, and control from the edge to the data center. As an AI Software Developer, you will join an interdisciplinary team spanning silicon architects to system designers to SDK developers to algorithmic researchers working to advance this technology out of the lab and into a wide range of commercial products. Your role will be to integrate Intel's Loihi APIs into popular AI/DL software frameworks like PyTorch, JAX, and TensorFlow to facilitate the adoption of neuromorphic technologies in today's AI ecosystem. This will include developing new tools and methods for hardware-aware training of sparse and low-precision models and improving the compiler, profiling, and model validation infrastructure for mapping models to Loihi systems. To be successful in this role, you should be passionate about building well-architected software products collaboratively, with a customer-oriented mindset and be willing to assume leadership in a dynamic team of experienced developers. You need to have great communication skills to present your ideas and collaborate with researchers, high-level application developers, and low-level systems programmers alike. In addition, your technical role requires a solid grounding in deep learning, mathematical optimization and related software frameworks as well as familiarity with systems programming, existing compiler frameworks and computer architecture.Qualifications
Minimum Qualifications:
- MSc or Phd in Computer Science, Computer/Electrical Engineering, Physics, Mathematics, or a related field.
- 3+ years of experience with deep learning, mathematical optimization, or AI frameworks such as PyTorch, JAX, or TensorFlow.
- 1+ years of experience with AI compiler and deployment frameworks like ONNX, OpenVINO, TVM, MLIR, LLVM, or similar.
- 1+ years of experience in software architecture, design methodologies, with a focus on building scalable, efficient, testable and maintainable systems.
- 5+ years of experience in Python and C/C++ with the ability to write quality code.
- 2+ years or experience in collaborative software development.
- Excellent communication skills, customer-oriented, attention to detail and demonstrated project management skills.
Preferred Qualifications:
- Experience with neuromorphic architectures and other AI accelerators.Experience in low-level systems/accelerator programming like CUDA, OpenCL, hardware-level APIs.
- Experience with parallel computing paradigms such as SIMD, MIMD and parallel algorithms.
- Experience with performance profiling and benchmarking algorithms and hardware architectures.
- Prior contributions to open-source projects.