Neuromorphic Algorithm Researcher

vor 2 Wochen

Munich, Bayern, Deutschland Intel Vollzeit

Job Description

Intel's Neuromorphic Computing Lab is seeking a researcher to pioneer a new class of algorithms and applications targeting Intel's neuromorphic processors. Our goal is to exploit neuromorphic and related non-von Neumann architectures to solve real-world problems with orders of magnitude gains versus the best known conventional solutions in applications ranging from cloud to edge based systems.

As a researcher, you will prototype hardware-aware neuromorphic algorithms for use on real-world applications in collaboration with external customers and research partners. You will be part of a diverse international team of engineers and researchers working together on our mission to demonstrate the commercial value of our technology.

Your day-to-day work may range from designing new projects, gathering requirements for customer use cases, high-level algorithm development, porting algorithms to Intel's neuromorphic systems, benchmarking their performance against conventional solutions, developing software application libraries, deploying application prototypes with customers, publishing or presenting results in journals or at conferences.

To be successful in this position, we are seeking candidates with a strong background in deep learning, machine learning, mathematical optimization, computational neuroscience, probability theory, or statistical mechanics and expert software development skills. Candidates should also come with a demonstrated track record of turning these skills into innovative technical solutions as measured by peer-reviewed publications, patents, or student projects in the fields of interest.

Qualifications

  • MSc in the fields of Computer Science, Physics, Mathematics, Computational Neuroscience, Computer/Electrical Engineering, or a related field.
  • Strong analytical and applied skills in deep learning, machine learning, mathematical optimization and related SW tools and libraries.
  • 1+ years of experience with developing algorithms for neuromorphic hardware systems using software frameworks such as Lava.
  • 4+ years of experience in Python and/or C/C++ with the ability to design and write quality code.
  • 1+ years or experience in collaborative software development (design methodologies, SCRUM, version control, software testing, etc.).
  • Excellent communication skills, customer-oriented, attention to detail and demonstrated project management skills.
  • Work permit in Germany.

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

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.

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