AI Software Engineer - Neuromorphic Computing

Job Details

Job Description:

The Opportunity

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.

Position Overview

In this role, you will drive the design, implementation, and optimisation of Intel's neuromorphic AI software stack, and collaborate with architects and cross-functional teams to deliver robust, efficient software solutions that enable developers and customers to build high-performance physical AI applications powered by Intel's neuromorphic technology.

The Organisation

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 commercialising the technology in future Intel and partner products.

Key Responsibilities

• Design, implement, and test components of Intel's neuromorphic AI software stack, including model optimisation, compiler, and runtime modules.
• Collaborate with customers and partners to design optimised algorithms and applications.
• Partner with hardware architects to optimise HW/SW co-design for performance and scalability.
• Integrate neuromorphic software into leading robotics, IoT, and sensing frameworks to enable broad ecosystem adoption.
• Participate in code reviews, documentation, and continuous improvement of software processes.
• Assist in profiling and benchmarking software performance.

Qualifications

Minimum Qualifications:

• MSc or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related field.
• 3+ years of experience developing AI compiler, runtime, and profiling/debugging infrastructure in frameworks like Triton, MLIR, IREE, XLA, TVM, ONNX, or OpenVINO.
• 3+ years of experience architecting and implementing production-grade software systems for maintainability, using standard engineering practices (profiling, benchmarking, correctness/performance regression testing, build/toolchain discipline, CI/CD).
• 5+ 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 TensorFlow.

Preferred Qualifications

• Expertise in low-level systems and accelerator programming (CUDA, LLVM, OneAPI, OpenCL, SYCL)
• Familiarity with parallel computing paradigms and performance optimisation
• Experience with profiling and benchmarking algorithms and hardware architectures
• Knowledge of unconventional AI hardware accelerators and neuromorphic computing
• Background in robotics and robotic software frameworks (ROS2, Isaac, Holoscan)
• Experience defining software architecture roadmaps for emerging technologies
• Prior contributions to open-source projects
• Experience working in collaborative, cross-functional teams
• Job posting details (such as work model, location or time type) are subject to change.

Job Type

Experienced Hire

Shift

Shift 1 (Netherlands)

Primary Location:

Virtual Netherlands

Additional Locations:

Business Group

The Central Engineering Group (CEG) is Intel's data-driven organization that builds scalable engineering solutions across three pillars: Product Enablement (IP, tools, and methodologies), Custom ASIC (leveraging existing IP for custom silicon), and Foundry Enablement (supporting top customers and validating technologies). The team focuses on customer-driven, end-to-end solutions with short development cycles to deliver measurable business impact across Intel's product and foundry businesses.

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.

Position of Trust

N/A

Work Model for this Role

This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. However, you must live and work from the country specified in the job posting, in which Intel has a legal presence. Due to legal regulations, remote work from any other country is unfortunately not permitted. * Job posting details (such as work model, location or time type) are subject to change.