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AI Model Optimization Engineer

Intel · India, Bangalore

Intel is a global leader in semiconductor design and manufacturing, focusing on the development of hardware and software solutions for computing. As an AI Model Optimization Engineer, you will focus on enhancing the performance and efficiency of AI models specifically for Intel hardware platforms. Your day-to-day responsibilities involve benchmarking, validating, and debugging machine learning models to ensure they operate accurately and at scale. You will work closely with cross-functional teams, including hardware, software, and architecture engineers, to identify optimization opportunities and resolve technical bottlenecks across various AI frameworks. The role requires a strong grasp of performance profiling, proficiency in Python or C++, and experience with deep learning frameworks like PyTorch or TensorFlow. This position is well-suited for engineers with a background in computer science or electrical engineering who possess a deep interest in generative AI, system-level optimization, and collaborative software development. You will contribute to both internal and open-source projects, requiring the ability to communicate complex technical concepts effectively while working within a globally distributed team structure.

ai model optimizationperformance engineeringmachine learningintel hardwaredeep learning frameworksc++pythongenerative aisoftware engineering

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 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: 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 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

RoleAI Model Optimization Engineer
CompanyIntel
LocationIndia, Bangalore
Typefull-time
CompensationNot disclosed
Posted2026-10-21
DeadlineRolling

Typical process for this type of role

A general guide — the exact steps for this specific listing may vary; check the original posting for details.

  1. 1ApplicationSubmit your resume through the apply link.
  2. 2ScreeningRecruiter reviews your background against the role.
  3. 3AssessmentA technical test, assignment, or coding round, depending on the role.
  4. 4Interview(s)One or more rounds with the hiring team.
  5. 5OfferOffer letter with compensation and start date.

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AI Model Optimization Engineer at Intel: frequently asked questions

What is the salary for this role?
Intel has not stated compensation in the listing. Check the original posting or ask during the application process.
Is the AI Model Optimization Engineer position remote, hybrid or onsite?
The listing gives India, Bangalore as the location and does not state a work mode.
What is the application deadline?
Intel has not listed a fixed deadline, so apply early in case the opening is filled.
How do I apply for the AI Model Optimization Engineer role?
Use the Apply button on this page. It opens the original listing on intel.wd1.myworkdayjobs.com, where you submit your application with the company.

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