Optimize the performance of Intel's AI systems and infrastructure by enhancing efficiency and scalability of solutions.
Requirements
- 5+ years of experience in performance engineering, systems architecture, and AI optimization.
- Proficiency in programming languages such as Python, C++, or Java.
- Strong understanding of AI frameworks (e.g., TensorFlow, PyTorch) and machine learning algorithms.
- Experience with performance analysis tools and methodologies.
- Proven track record of leading complex technical projects and initiatives.
- Experience working on performance AI environments.
- Familiarity with Intel's hardware and software solutions.
Responsibilities
- Lead the design and optimization of high-performance AI systems and solutions.
- Conduct comprehensive performance analysis and develop strategies to improve system efficiency.
- Collaborate with AI researchers, software engineers, and hardware teams to identify and resolve performance challenges.
- Develop and implement tools and frameworks for AI performance monitoring and analysis.
- Drive initiatives to enhance the scalability, reliability, and speed of AI systems.
- Mentor and guide junior engineers, fostering a culture of innovation and technical excellence.
- Stay updated on industry trends and emerging AI technologies to ensure Intel remains at the forefront of performance engineering.
Other
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience with 12+ years of experience.
- Strong problem-solving skills and the ability to think critically and creatively.
- Excellent communication and collaboration skills
- This role is a Position of Trust.
- Must consent to and pass an extended Background Investigation.
