THE ROLE

The right engineer will drive the success of AMD (Advanced Micro Devices) software products, around mathematics and classical machine learning, through innovation & collaboration. You will have exposure to all the latest AMD technologies as part of the team which will deliver our next generation products. This is a phenomenal opportunity to work in an outstanding company like AMD.

THE PERSON:

With a relevant academic background and software development experience you have a drive to learn and innovate to improve yourself and our products. Your peers will provide a results-oriented and encouraging environment to solve challenging technical problems and grow your career.

KEY SKILLS: Classical Machine Learning, Data Science, Numerical Algorithms and C/C++

ACADEMIC CREDENTIALS:

• Master's degree or PhD in Mathematics, Statistics, Data Science or equivalent

• Development of mathematical and statistical software with an emphasis on usability, accuracy and performance
• Implement serial and parallel algorithms solving real world classical machine learning problems, taking ownership from design to delivery
• Build and deploy software for the most advanced CPU and AI platforms in the world
• Develop and maintain a suitable test infrastructure
• Innovate in production software environments continuously striving to optimize the workflow
• Collaborate across the organization
• Liaise with stakeholders and follow up on action items

PREFERRED EXPERIENCE:

• An understanding of mathematical concepts and algorithms applicable to classical machine learning, data science or statistics
• Programming experience, using C/C++
• Experience of programming with OpenMP or another parallel language or paradigm is desirable
• Prior experience of scripting such as Python, Shell, or R
• Knowledge of Windows and Linux environments
• Experience with software development processes and tools such as build systems, debuggers and source code control systems
• Excellent verbal and written communication and presentation skills for technical and non-technical audiences
• Excellent interpersonal, organizational and planning skills