Senior AI Software Engineer - Neuromorphic Computing

Overview

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 team of engineers and researchers pioneered event‑based neuromorphic architecture and now focuses on commercializing the technology in future Intel and partner products.

Join the team defining and implementing Intel’s product‑grade neuromorphic AI software stack. You will contribute across all levels of the stack from drivers to runtime to AI framework integration in collaboration with hardware, software, and solution architects to deliver robust, efficient, scalable software solutions that enable customers to build high‑performance physical AI applications powered by Intel’s neuromorphic technology.

• Design, implement and optimize Intel’s neuromorphic AI compiler and runtime environment.
• Contribute to tools and infrastructure that enable performance analysis, verification, debugging, and optimization across the software stack.
• Integrate software stack into external ecosystems, particularly robotics and edge AI frameworks.
• Collaborate with internal compiler, hardware, systems teams and external customers to improve software quality, performance, and usability across the stack.

• Bachelor’s degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a STEM related field.
• 3+ years of experience developing AI compiler, runtime, performance, or systems software, including execution environments, profiling, or debugging infrastructure in frameworks like ONNX, IREE, OpenVINO, TVM, MLIR, XLA.
• 3+ years of experience architecting and implementing production‑grade software systems for maintainability, using standard engineering practices such as profiling, benchmarking, correctness/performance regression testing, build/toolchain discipline, or CI/CD.
• 3+ years of experience with production software development in Python and C/C++, including systems‑level and performance‑critical code.
• 3+ years of experience with AI, deep learning, or optimization algorithms using frameworks such as PyTorch, JAX, or Tensor Flow.

• Post‑graduate degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a STEM related field.
• Strong expertise in robotics or real‑time systems including frameworks such as ROS
  2.
• Experience in low‑level systems and accelerator programming (CUDA, LLVM, OneAPI, OpenCL, SYCL).
• Experience in HW/SW co‑design and hardware simulator development.
• Experience with effective agentic AI software engineering practices.
• Experience with parallel computing paradigms or spatial AI hardware accelerators.
• Expertise developing software architectures and managing software projects.
• Experience working effectively in cross‑functional teams spanning hardware, systems software, and applications.
• Prior contributions to open‑source projects.

Job Type: Experienced Hire

Shift: Shift 1 (United States of America)
Primary

Location:

US, Oregon, Hillsboro
Additional Locations: US, California, Santa Clara; US, Texas, Austin

Salary Range: $ -  USD (US locations). The range reflects the minimum and maximum target compensation for this position; individual pay is determined by work location and other factors. Your recruiter can share more about the specific compensation range for your preferred location.

Work Model:
Hybrid – employees may split their time between working on‑site at their assigned Intel site and off‑site. Work model, location or time type may be subject to change.

We offer a total compensation package that ranks among the best in the industry. It includes competitive pay, stock bonuses, and benefit programs such as health, retirement, and vacation. Find out more about the benefits of working at Intel.

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.