Job Details:

Job Description: 

Develops and/or validates software that enables Intel GPUs. Scope can spans the entire stack, from firmware and device drivers through APIs and the application layer, and may also include the tools, infrastructure, and technologies necessary to develop, profile, optimize, and productize Intel GPUs or graphics/GPGPU software solutions.

Qualifications:

Master's with 3+ years' experience or bachelor's with 4+ years' experience in Computer Science and Engineering or Electronics and Telecommunications Engineering. GPU Software Development Engineer (AI, Deep Learning). Excellent knowledge on Py Torch, Deep learning workload enabling, validation debug and optimization on GPU and accelerator-based platforms. Excellent problem solving skills, self motivated with articulate stakeholder management skills, should be able to show differentiated outcome while collaboratively and individually working in a distributed team in aa fast paced environment

Job Type:

Experienced Hire

Shift:

Shift 1 (India)

Primary Location: 

India, Bangalore

Additional Locations:

Business group:

The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.

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 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.