Neuromorphic Algorithms Researcher

** Join Intel and build a better tomorrow**

We create world-changing technology that improves the life of every person on the planet every day in ways that you probably don’t even see, from the technology inside self-order kiosks at fast food outlets to the data centers and networks that support your video streaming; from AI enabling genomic sequencing and personalized healthcare to autonomous driving.

We have big ambitions, and a passion to work with others and address world challenges no one can tackle alone. We would you love you to be a part of this

**About the recruitment process**

Intel's Neuromorphic Computing Lab is seeking talented neuromorphic algorithm researchers to pioneer a new class of algorithms targeting Intel's neuromorphic processors.

Recurrent neural networks and constraint optimization problems have shown significant outperformance on neuromorphic compared to conventional architectures promising a variety of commercialization opportunities. Therefore, the goal of this position is to expand upon these past results by developing constraint optimization solvers and analyzing their performance on the Intel Loihi architecture. This opportunity will not only allow you to gain expertise in neuromorphic algorithm research and software development but also to participate in commercializing this technology while solving real-world customer use cases.
- Strong analytical skills in mathematical optimization, 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.
- Currently enrolled in MSc or PhD program (or similar) in Computer Science, Physics, Mathematics, Computational Neuroscience, Computer/Electrical Engineering, or a related field.

**Please note that the student needs to be enrolled for the full duration of the student employment.**

**It would be an advantage if you had experience and would like to develop your skills**:

- with software frameworks or solvers used in mathematical optimization.
- in developing machine learning algorithms.
- with popular machine learning or other frameworks commonly used in data science.
- in developing algorithms for neuromorphic hardware systems In particular, familiarity with constraints imposed by neuromorphic hardware on algorithm development.
- in collaborative software development (design methodologies, SCRUM, version control, software testing, etc.)

**What do we offer?**
- A collaborative, supportive environment, where your equally brilliant colleagues will push you to be your best.
- Competitive pay
- Diverse and inclusive environment (read more about it here)
- Being a part of a socially and ecologically responsible company (read more about it here).
- Dedicated training for you during your first weeks at the company to make your transition into work easier and a personal buddy to help you build your network, answer any questions and integrate you into your position.
- Opportunities for professional development - wide library of online trainings and learning platforms, support and guidance from your team and manager, and different assignment programs.
- The possibility to build a lifelong career at Intel.

**We're constantly working on making a more connected and intelligent future, and we need your help. Change tomorrow. Start today.**

We are waiting for you If you want to gather some more information, please see: Interns stories, company overview, our Facebook and LinkedIn sites.

**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.**
JobType

Hybrid