AI Integration Specialist

Job Details:

Job Description: 

Are you passionate about AI and looking to make a significant impact in the field of RTL and pre-silicon verification? We're offering an exciting opportunity to bridge the gap between AI tools and engineering workflows. You'll be at the forefront of integrating AI into our day-to-day operations, enhancing efficiency and quality in our engineering processes.

Job Responsibilities:
1. Act as a key link between our RTL and pre-silicon verification engineers and AI tools teams/vendors, understanding the potential of AI tools and the requirements of our engineers.
2. Champion the needs of our engineers with AI tools teams/vendors, facilitating the development of necessary features in the AI tools.
3. Create additional features for existing AI tools to streamline their integration into our engineers' workflows.
4. Identify and automate the best prompts for AI tools, ensuring uniform usage across the engineering team.
5. Regularly review and update AI integrations to ensure they continue to meet the evolving needs of our engineering group.
6. Collaborate closely with our engineering group to troubleshoot any issues with the AI integrations and make necessary adjustments.
7. Stay abreast of the latest advancements in AI and machine learning, and explore their potential applications in our engineering workflows.
8. Provide training and support to our engineering group to help them effectively use the AI integrations.

Qualifications:

Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Job Requirements:
Minimum Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field with 1+ years' relevant experience.
- Strong software development skills, with proficiency in Python, C++, or other relevant programming languages.

- Experience with GIT.

- Advanced English level.

- Costa Rican unrestricted work permit

Preferred Qualifications:

- Proficiency in Linux/UNIX.
- Academic background in RTL and/or pre-silicon verification.
- Eagerness to learn and apply AI concepts in real-world scenarios.
- Excellent problem-solving skills, with the ability to troubleshoot complex software issues.
- Strong communication skills, with the ability to explain complex AI concepts to non-technical team members.
- Ability to work collaboratively with a team, as well as independently when required.

This is a unique opportunity to kickstart your career in a dynamic, innovative environment. If you're ready to take on the challenge, we'd love to hear from you!

          

Job Type:

College Grad

Shift:

Shift 1 (Costa Rica)

Primary Location: 

Costa Rica, San Jose

Additional Locations:

Business group:

In the Design Engineering Group (DEG), we take pride in developing the best-in-class SOCs, Cores, and IPs that power Intel’s products. From development, to integration, validation, and manufacturing readiness, our mission is to deliver leadership products through the pursuit of Moore’s Law and groundbreaking innovations.  DEG is Intel’s engineering group, supplying silicon to business units as well as other engineering teams.  As a critical provider of all Intel products, DEG leadership has a responsibility to ensure the delivery of these products in a cost efficient and effective manner.

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.

Position of Trust

N/A

Work Model for this Role

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.