Sr. Software System Designer
Role details
Job location
Tech stack
Job description
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., * 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, AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.
Requirements
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, * 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