Neuromorphic Algorithms Researcher - Munich, Deutschland - Screenovate

Screenovate

Geprüftes Unternehmen

Munich, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Qualifications:

Minimum Qualifications:

Completed MSc degree (or equivalent) Computer Science, Physics, Mathematics, Computational Neuroscience, Computer/Electrical Engineering, or a related field to be qualified for Phd program by partner university.
Strong analytical skills in mathematical optimization, deep learning, probability theory, statistical mechanics, or quantum computing.
2+ years of experience in Python and/or C/C++ with the ability to design and write quality code.
1+ years of experience with software frameworks or solvers used in mathematical optimization.
1+ years of experience in developing machine learning algorithms.
1+ years of experience in developing algorithms for neuromorphic hardware systems In particular, familiarity with constraints imposed by neuromorphic hardware on algorithm development.

Preferred Qualifications:

Experience with popular machine learning or other frameworks commonly used in data science.
Experience in collaborative software development (design methodologies, SCRUM, version control, software testing, etc.).

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.

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:

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.

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