Software Enabling and Optimization Engineer

Intel
Malaysia, PenangPosted 27 March 2026

Job Description

Job Details: Job Description: The Role and Impact: Join Intel as a Software Enabling and Optimization Engineer, where you will drive innovation and shape the future of computing. In this pivotal role, you will partner with Intel customers, ecosystem software vendors, and the opensource community to deliver software solutions that unlock the full potential of Intel products across diverse domains including Enterprise, Cloud, HPC, AI, Gaming, Graphics, Analytics, and Edge computing. By leveraging your technical expertise, you will contribute to developing, integrating, testing, debugging, and optimizing software, ensuring Intel's solutions stand out in the competitive market. Your work will directly influence the adoption of groundbreaking technologies, enabling our customers to achieve new heights of innovation and success. Key Responsibilities: - Develop, integrate, tune, and debug software to enable Intel products and technologies across multiple disciplines. - Serve as a trusted technical advisor to customers, offering guidance and expertise to maximize Intel product value. - Collaborate with customers and ecosystem partners to identify and drive key workloads into product requirements and development roadmaps. - Evangelize software tools and technologies, delivering training and collateral to support Intel products. - Research and prototype software solutions to drive adoption of Intel capabilities, incorporating deep domain expertise. - Lead application preenabling, product development, and hardening processes to ensure successful product launches. - Create and present competitive analyses, benchmarks, and technical training materials. - Support engineering efforts to address customer issues with swift and effective solutions. Qualifications: Minimum Qualifications: - Bachelor of Science degree in Computer Science, Electronics Engineering, or a related field, or equivalent experience based on business needs. - 0-1+ years of experience with a Bachelor's degree or 0 years of experience with a Master's degree. - Proficiency in Python programming and software debugging. - Deep understanding of operating systems and high-level software design principles. - Experience in developing and optimizing AI or Robotics software solutions. Preferred Qualifications: - Familiarity with AI frameworks such as OpenCV, Pytorch, Tensorflow, or OpenVINO. - Ability to develop in Linux and Windows environments. - Proficiency in programming languages including C, C++, Rust, and Golang. - Experience in code and systems optimization. We are excited to welcome talented individuals eager to make an impact. Apply today for an opportunity to help shape the future of technology with Intel. Job Type: College Grad Shift: Shift 1 (Malaysia) Primary Location: Malaysia, Penang Additional Locations: Business group: The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. 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 require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change. * ADDITIONAL INFORMATION: Intel is committed to Resp ... (truncated, view full listing at source)
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