Netsec Ai Solution Architect

ECND is looking for hiring a Network security AI solution engineer who can define and implement AI solution to showcase the latest Intel technology in cybersecurity domain, such as SASE, secure access service edge is a new deployment model to deliver the network/security as a service through edge cloud. The role may work with NetSec Appliance/SASE vendors, comprehend SASE/AI use case needs, propose and implement the Intel reference architecture, optimize TCO with Intel silicon and software portfolio (CPU, NIC/IPU and Switch etc).
- Strong programming skills in languages like Python, C/C++, or Java.
- Understanding of machine learning algorithms, deep learning, and natural language processing.
- Familiarity with machine learning and deep learning frameworks including TensorFlow, PyTorch, and scikit-learn.
- Comfortable with different software development and deployment environments such as public cloud, Linux/KVM or K8s, VMware environments
- Solid experience in performance tuning and analysis. Know how to train, fine-tune, and optimize deep learning models to achieve desired performance.
- Strong analytics skills to work with multi-geo teams

**Qualifications**:
**Requirements**:

- Must be a team player, with a demonstrated experience as technology influencer.
- Strong technology curiosity and problem-solving skills.
- Customer first mindset, Comfortable with customer presentations and troubleshooting.
- Excellent verbal and written communication skills.
- Comfortable with open-source tools and community engagement.

In this position you will gain invaluable experience which will allow growth and expanded opportunities within this business group as well as future possible opportunities with other business groups within Intel.

**Education**:

- Bachelor's degree in electrical or computer Engineering, Computer Science, or related field plus 6 years of industry work experience, or master's degree in electrical engineering or computer Engineering, Computer Science, or related field plus 4 years of industry work experience

Minimum Qualifications:

- 4-year experience in software development.
- 4-year experience on Linux system.
- 2-year experience on Machine Learning and Deep Learning

Preferred Qualifications:

- Collaborative work spirit and drive the work to completion, work with the global team.
- Previous experience managing output of work effectively in a dynamic environment; knows when to look for help/feedback as needed.

**Inside this Business Group**:
The Network & Edge Group brings together our network connectivity and edge into a business unit chartered to drive technology end to end product leadership. It's leadership Ethernet, Switch, IPU, Photonics, Network and Edge portfolio is comprised of leadership products critically important to our customers.

**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.

**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