AI Performance and Projection Engineer

As an AI Performance and Projection Engineer at Intel, you will model AI hardware and software (GPU/accelerator) for performance analysis, identifying critical kernels and patterns in AI workloads. Your role involves estimating ideal performance, enhancing and maintaining performance modeling toolkits, and correlating projections with device/simulator data. You will also propose software and kernel optimizations and study new deep learning networks for future requirements, contributing to Intel's strategic penetration of the AI market.

Must Have

• Model AI HW & SW (GPU/accelerator) for performance analysis.
• Analyze AI workloads to identify critical kernels & patterns.
• Estimate ideal performance of kernels & workloads for a given HW spec.
• Enhance & maintain the performance modeling toolkit for projections.
• Correlate projected performance with device/simulator & improve models.
• Propose optimizations in SW & kernel implementation to improve WL perf.
• Study new & different DL networks for future optimization requirements.
• BS with 9+, Masters with 6+, or PhD with 3+ years of relevant industry experience.
• Programming in Python/C++.
• Strong in Data Structures/Algorithms.
• Worked on large SW projects.
• Knowledge of computer architecture & compiler fundamentals.
• Strong written & verbal communication skills.
• Work well in a team environment.

Good to Have

• Familiarity with AI algorithms (e.g. LLMs) & DL and serving frameworks (e.g. PyTorch, JAX, vLLM, SGLang, HF).

Perks & Benefits

• Hybrid work model

Job Description:

• Model AI HW & SW (GPU/accelerator) for performance analysis. Analyze AI workloads to identify critical kernels & patterns. Estimate ideal performance of kernels & workloads for a given HW spec.
• Enhance & maintain the performance modeling toolkit for projections. Correlate projected performance with device/simulator & improve models
• Propose optimizations in SW & kernel implementation to improve WL perf
• Study new & different DL networks for future optimization requirements

The ideal candidate should exhibit the following behavior skills:

• Strong communication skills
• Work well in a team environment

Qualifications:

You must possess the below minimum qualifications to be initially considered for this position. Experience listed below would be obtained through a combination of your school-work/ classes/ research and/or relevant previous job and/or internship experiences.

Minimum Qualifications:

• BS with 9+, Masters with 6+ years, or PhD with 3+ years, of relevant industry experience in Computer Science or Computer Engineering or Electrical Engineering related technical discipline.
• Programming in Python/C++, strong in Data Structures/Algorithms, worked on large SW projects.
• Knowledge of computer architecture & compiler fundamentals
• Strong written & verbal communication skills

Preferred Qualifications:

• Familiarity with AI algorithms (e.g. LLMs) & DL and serving frameworks (e.g. PyTorch, JAX, vLLM, SGLang, HF).

Job Type:

Experienced Hire

Shift:

Shift 1 (India)

Primary Location:

India, Bangalore

Additional Locations:

Business group:

As a member of the Chief Technology Office, Artificial Intelligence, and Network and Edge Group (CTO AI NEX), you will be committed to strategically penetrating the AI market by delivering disruptive and transformative solutions. Your focus will be on leveraging technology innovation and incubation to drive commercial success, ensuring that advancements create significant value. The team is dedicated to driving the software-defined transformation of the world's networks profitably, setting new standards for efficiency and connectivity. Through these priorities, you aim to lead the way in technological evolution and redefine the future of global networks.

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. * Job posting details (such as work model, location or time type) are subject to change.