AI Model Optimization Engineer

Intel

India, BangalorePosted about 16 hours agoDiscoveredMatch locked

Full time2+ years exp

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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

Key responsibilities will include but not limited to

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.

Intel invests in our people and offers a complete and competitive package of benefits employees and their families through every stage of life.

See Intel Benefits for more details.

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.

Your experience described above must be in the following

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

Experienced Hire

Shift

Shift 1 (India)

Primary Location

India, Bangalore

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. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

Not included in the source posting: benefits.

Skills

artificial-intelligencemachine-learninggenerative-aicdeep-learninggitlinuxllmpythonpytorchtensorflow

Who can apply

The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.

Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.