AI Model Optimization Engineer

Intel Technology India Pvt Ltd; Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Intel Technology India Pvt Ltd is seeking an AI Model Performance Optimization Engineer to enable, validate, benchmark, optimize, and debug AI models for efficient execution on Intel hardware platforms.

You will collaborate with software, hardware, compiler, and architecture teams to improve AI model performance and scalability, while mentoring junior engineers and contributing to open-source projects.

Qualifications

• Bachelor's or Master in a technical field with AI/ML focus and hands-on experience.
• Proficiency in Python and C++ programming.
• Experience with PyTorch or TensorFlow frameworks.
• Performance analysis, profiling and optimization skills.
• Working knowledge of Git-based collaboration and PR workflows.
• Understanding of computer architecture and operating systems.

Responsibilities

• Enable, validate, benchmark, and optimize AI models on Intel platforms.
• Analyze model performance and identify optimization opportunities.
• Debug issues across AI frameworks, software stacks, and hardware.
• Develop tests to ensure functionality, accuracy, and performance.
• Collaborate with software, hardware, compiler and architecture teams.
• Use AI-assisted tools to improve productivity.
• Contribute code, fixes, docs, and tests to projects.
• Work with globally distributed teams and mentor juniors.

Skills

Python

C++

PyTorch

TensorFlow

Git

Performance analysis

OpenCL

SYCL

Education

Bachelor's degree in Computer Science/Engineering/AI/ML or related field

3+ years hands-on AI/ML experience or 2+ years with Master

Tools

OpenVINO

Git workflows

Job description

AI Model Optimization Engineer Job Details: Job Description: The Role and Impact

Intel is seeking an AI Model Performance Optimization Engineer to help deliver high-performance AI solutions that enable the next generation of client computing experiences.

In this role, you will enable, validate, benchmark, optimize, and debug AI models to ensure they run efficiently and accurately across Intel hardware platforms.

Working at the intersection of artificial intelligence, machine learning frameworks, software engineering, and hardware acceleration, you will collaborate with engineers across Intel to improve AI model performance, scalability, and adoption by customers and partners worldwide.

This is an exciting opportunity for engineers passionate about Generative AI, machine learning systems, model optimization, and performance engineering who want to influence technologies used by millions of people globally.

What You Will Do

• Enable, validate, benchmark, and optimize AI models on Intel platforms to address customer and market segment needs.
• Analyze model performance and identify optimization opportunities.
• Debug issues across AI frameworks, software stacks, and hardware platforms.
• Develop and execute tests to ensure model functionality, accuracy, and performance.
• Collaborate with software, hardware, compiler, and architecture teams to solve technical challenges.
• Utilize AI-assisted development tools to improve engineering productivity.
• Contribute code, bug fixes, documentation, and test coverage to internal and open-source projects.
• Work effectively with globally distributed engineering teams.
• Mentor junior engineers and share technical expertise across the team.

Behavioral traits that we are looking for

• Curiosity and Learning Agility: Demonstrates a passion for learning emerging AI technologies, frameworks, and development methodologies.
• Problem Solving: Approaches complex technical challenges with structured analysis and creative thinking.
• Ownership: Takes initiative, drives issues to resolution, and delivers high-quality results with accountability.
• Collaboration: Works effectively across software, hardware, architecture, and product teams to achieve shared objectives.
• Adaptability: Thrives in fast-paced environments where priorities and technologies evolve rapidly.
• Communication: Communicates complex technical concepts clearly to both technical and non-technical audiences.
• Global Teamwork: Works effectively across geographically distributed teams and diverse perspectives.

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.

Minimum Qualifications and Experience

• Bachelor's degree in a Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related technical discipline with 3+ years of hands-on experience in AI frameworks, algorithms, and programming OR Master's degree in the same field with 2+ years of experience.
• Programming in Python and/or C++.
• Experience with machine learning or deep learning frameworks such as PyTorch or TensorFlow.
• Performance analysis, profiling and optimization.
• Working knowledge of Git-based collaborative development and pull-request workflows.
• Basic understanding of computer architecture and operating systems.

Preferred Qualifications and Experience

• Linux and/or Windows operating systems.
• Experience with GenAI models (LLM, VLM, VLA) or OpenVINO.
• Understanding of parallel programming, preferably with experience in SYCL or OpenCL.
• Previous publications or contributions to AI research.
• Familiarity with OpenVINO or other AI inference frameworks.
• Experience contributing to open-source software projects.

Why Join Intel

At Intel, you'll help shape the future of AI by developing technologies that improve the performance and efficiency of AI applications used worldwide. You'll collaborate with industry-leading engineers, work across the AI software and hardware stack, and contribute to innovative solutions that power next-generation computing experiences.

Job Type

Job Type: Experienced Hire

Shift: Shift 1 (India)

Primary Location: India, Bangalore

Additional Locations:

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.

ADDITIONAL INFORMATION

Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices.