Cloud Software Development Engineer

Bengaluru, Karnataka, India Job ID JR0269331 Job Category Software Engineering Work Mode Hybrid Experience Level Experienced Full/Part Time Full Time

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Job Description

Designs, develops, validates, and debugs software to enable Intel hardware features and to optimize for cloud, hybrid Cloud, and/or onPrem deployment models. Understands partner software stacks and optimizes full stack software (spanning firmware, drivers, OS, middleware, SDKs, frameworks, algorithms, and applications) as required to enable cloud software. May include the development of reference cloud platform software and improving or enabling customer designs to obtain the greatest value from Intel products within the cloud. May specialize in specific technology domains including data services (ingestion, database, analytics), AI/ML, and opensource development projects.

Qualifications

Minimum Qualifications:

Bachelor's degree in computer science or relevant field with 5+ years of relative industry experience
Master's degree in computer science or related field with 3+ years of industry experience
Deep and Good Understanding of AI, ML, DL or (HPC - Optional).
In-depth knowledge of computer programming languages, such as Shell Script, Python, JavaScript, and C++.
Experience in working in Pre-silicon environment of Simics and/or other simulation environments
Willingness to learn and continue developing knowledge in an up-coming field
Excellent problem-solving skills with the ability to thrive in a demanding, fast-paced work environment
Strong interpersonal and communication skills and a willingness to collaborate cross-functionally with different teams.

Preferred Qualifications:

4+ years of programming experience with at least one modern language such as Python, C++ etc.
Good knowledge in data science, LLM, algorithms, AI, ML, DL and statistics, operating systems, distributed systems.
Additional Skills like Docker, Kubernetes, Ansible, Jenkins, GitHub, PyTorch, Shell Script knowledge will be an added advantage.

Inside this 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.

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 here.

It has come to our notice that some people have received fake job interview letters ostensibly issued by Intel, inviting them to attend interviews in Intel’s offices for various positions and further requiring them to deposit money to be eligible for the interviews. We wish to bring to your notice that these letters are not issued by Intel or any of its authorized representatives. Hiring at Intel is based purely on merit and Intel does not ask or require candidates to deposit any money. We would urge people interested in working for Intel, to apply directly at https://jobs.intel.com/ and not fall prey to unscrupulous elements.

Working Model

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. * Job posting details (such as work model, location or time type) are subject to change.

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