Join Intel Labs' Neuromorphic Computing Lab to develop novel software for Loihi 2 and future neuromorphic processors. Until recently, Intel's neuromorphic research has been focused primarily on silicon development. With Loihi 2, we now have the world's most advanced neuromorphic processor, but realizing the processor's full potential will require solid software support spanning firmware, device drivers, embedded software, neuromorphic compilers, scalable spiking neural network simulators, and neuromorphic software APIs and SDKs. Neuromorphic processors are radically different from conventional processors, and as such we seek open minded developers eager to embrace new models of computing. There will be opportunities to contribute across the software stack, but this role will focus primarily on the lower end.

 

Responsibilities include designing, developing, integrating, testing, optimizing, and validating software to enable Loihi 2 features, get the most out of the chip, and provide breakthrough performance on novel neuromorphic workloads. Through benchmarking and simulation you will also support preSi power and performance analysis to provide architecture recommendations. As a developer in NCL, you may also participate in neuromorphic algorithm and application research, oftentimes in partnership with external companies and research groups.

Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience would be obtained through a combination of prior education level classes, and current level school classes, projects, research, and relevant previous job and/or internship experience.

 

Minimum Qualifications:

• The candidate must possess a Master’s degree or PhD degree in Computer Science, Electrical Engineering, or related field
• 10+ years of software development experience

 

3+ years of experience in below areas:

• Experience with OS, compiler, and embedded "bare metal" programming
• Experience with novel computing architectures and performance optimization for custom silicon
• Experience architecting medium- to large-scale software applications
• Experience with object oriented programming
• Familiarity with machine learning and/or scientific computing
• Good grasp of basic computer architecture principles and algorithms

 

Preferred Qualifications:

• Experience with functional and parallel programming

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.

Intel strongly encourages employees to be vaccinated against COVID-19. Intel aligns to federal, state, and local laws and as a contractor to the U.S. Government is subject to government mandates that may be issued. Intel policies for COVID-19 including guidance about testing and vaccination are subject to change over time.

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.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.