AI Software Development Engineer at Intel - Dubai

Haifa, Haifa District, Israel -

Full Time

Start Date

Immediate

Expiry Date

14 Mar, 26

Salary

0.0

Posted On

14 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Linux, AI Frameworks, Machine Learning, Deep Learning, GPU Programming, Performance Optimization, System-Level Development, Clean Coding Practices, Communication Skills, Heuristics Development, Model Architectures, Firmware Development, Pre-Silicon Validation, Distributed Computing, Customer Focus

Industry

Semiconductor Manufacturing

Description

Job Details: Job Description: Join us as a software engineer to build a complete software stack for a novel AI accelerator. Your mission: maximize hardware utilization while ensuring ease of use so customers can easily adopt Intel’s solution. You’ll work across the stack—from high-level frameworks like PyTorch, JAX, and ONNX to low-level drivers and firmware. User-space code will be open source, so clean coding practices and customer focus are essential. Key responsibilities include developing heuristics to map deep learning workloads efficiently to unique hardware. Familiarity with common model architectures is helpful but not required; you’ll learn on the job. As part of a HW/SW co-design effort, expect involvement in pre-silicon validation and bring-up of new generations. Qualifications: B.S. or higher in Computer Science, Computer Engineering, Electrical Engineering, or related field. At least 5 years of experience in software development with strong expertise in Python. Hands-on experience with Linux environments, including system-level development and optimization. Excellent written and verbal communication skills. Preferred Qualifications: Familiarity with GPU programming and acceleration technologies (CUDA, ROCm). Proficiency in AI frameworks (e.g., TensorFlow, PyTorch, ONNX, or similar). Solid understanding of machine learning and deep learning concepts, including model development and deployment. Performance optimization for distributed computing environments. Job Type: Experienced Hire Shift: Shift 1 (Israel) Primary Location: Israel, Haifa Additional Locations: Business group: At the Data Center Group (DCG), we're committed to delivering exceptional products and delighting our customers. We offer both broad-market Xeon-based solutions and custom x86-based products, ensuring tailored innovation for diverse needs across general-purpose compute, web services, HPC, and AI-accelerated systems. Our charter encompasses defining business strategy and roadmaps, product management, developing ecosystems and business opportunities, delivering strong financial performance, and reinvigorating x86 leadership. Join us as we transform the data center segment through workload driven leadership products and close collaboration with our partners. 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. Intel’s official careers website. Find your next job and take on projects that shape tomorrow’s technology. Benefits Internships Life at Intel Locations Recruitment Process Discover your place in our world-changing work.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Develop heuristics to efficiently map deep learning workloads to unique hardware and work across the software stack from high-level frameworks to low-level drivers. Involvement in pre-silicon validation and bring-up of new generations is also expected.