Neuromorphic AI Software Framework Lead

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.

Inside this Business Group

Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.

Working Model

This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.