AI Software Development Engineer

Job Description

Intel's Client AI organization is dedicated to research and development for the future of AI - unprecedented scale for enabling machine intelligence on Edge, desktop, and mobile computers. While achieving a minimal power consumption and tremendous computing power, Intel AI accelerators are targeting daily use for millions of devices. Join our adventure harnessing the complexity of state-of-art Deep Neural Networks using the most advanced AI hardware accelerators in the world.Intel is looking for AI software developers for MLIR compiler that enables low power inference for client neural networks. In this role you will play a pivotal role developing and deploying new AI use cases for Intel Client platforms in the image classification, speech recognition and natural language processing arenas. As a Client AI Software developer, you will have the opportunity to work with best-in-class AI hardware accelerators using state of the art software technology to deliver unequaled AI solutions to Intel Client compute devices, including the next wave of disruptive use cases in generative AI (stable diffusion) and large language models. We are a distributed team with our engineers working in a hybrid model. When you come to work at Intel, you come to work in a collaborative, supportive environment, where your equally brilliant colleagues will push you to be your best. There is no fear of failure-we know that's how innovation happens.

Qualifications

BS / MS in Computer Science Computer Engineering or a similar field

At least 5 years of experience in programming

Excellent C++ programming skills

Design of multithreading and multithreaded application

Computer architecture experience

Strong production software engineering background, experience with CI, code reviews, paired programming, unit and integration testing

Experience in one the following : compiler technologies, computer vision, numerical modelling, high-performance computing, deep-learning frameworks or algorithms

Preferred Qualifications :

Experience in LLVM / MLIR

Experience in AI hardware accelerators, VPU, GPU, heterogeneous architectures software development

Ability to create software designs based on architecture and requirements

Ability to clearly communicate concepts and problem statements in a multi-cultural environment

Inside this Business Group

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

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

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. In certain circumstances the work model may change to accommodate business needs.