Research Scientist

vor 7 Monaten


Karlsruhe, Deutschland INTEL Vollzeit

Join a team of researchers at Intel Labs in Europe responsible for developing next generation edge and wireless networking solutions.

The role will include the exploration and development of technologies to support orchestration, that cut across monitoring and observability, workload profiling, modelling and analytics targeting various usage models, from performance optimizations to energy optimizations, etc. This researcher should have an interest in computing, including deployment, testing, integration, and validation of edge and cloud computing stacks. Responsibilities will include design and development of extensions to cloud stacks, instrumentation and monitoring as well as analytics framework, with particular emphasis towards awareness of underlying hardware features across Compute/Memory/Network. The researcher will work in close collaboration with leading EU academic and industry partners as part of EU-wide research projects. Research background on wireless communications and networking, and system-level performance evaluation is required. Hands on SW prototyping using Linux environment, and systems simulation is required. Experience in working across multiple teams and customers in complex collaborative projects is highly desired.

**Please note that t**his is a temporary position for 24 months.**
- Preferably PhD in EE/CS (Master would be also fine though)
- Systems and scripting programming languages (e.g. Go, Python, bash)
- Virtualization and containerization (e.g. Kubernetes, Containers, Services meshes like Istio, Linkerd)
- Operating systems knowledge (Linux, Unix)
- Software engineering skills (e.g. test driven development, Agile methodologies, build and integration automation)
- Skills in bringing theoretical ideas to proof of concept and implementations

**It would be an advantage if you had interest/knowledge and would like to develop your skills in**:

- Cloud Environments in particular Kubernetes, and its constituent modules.
- Data Science and Machine Learning
- Knowledge of Software Defined Networking or Network Function Virtualisation

**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.

**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 is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as 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

Fully Remote


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