AI Model Optimization Engineer

Job Details:

• 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.

• 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.

• See for more details.

Qualifications:

• 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.

• 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.

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 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. 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.