WHAT YOU DO AT AMD CHANGES EVERYTHING
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
THE ROLE:
AMD is looking for a senior software engineer to join our growing team in open source AI software development. You will join a team of talented industry specialists, and develop and deliver quantization software for state-of-the-art machine learning. As a key contributor you will champion a high quality and level of professionalism of software development, coordinate closely with your team and partners, and contribute to a culture of continuous improvement and knowledge sharing.
THE PERSON:
The ideal candidate possesses an innovative and problem-solving mindset, has a keen eye for software engineering development, is diligent and passionate about technology, has working experience with machine learning models and algorithms, and is a positive, proactive, communicator. A successful candidate will need to employ strong knowledge in computer technologies, leadership skills in technical areas, and SW engineering expertise, as well as a strong ability to work with different teams of engineers and collaborators.
KEY RESPONSIBILITIES:
- Develop and release high quality software, relied on by a large number of users
- Validate new SW features before releasing them to users
- Drive a high professional standard in open source development
- Contribute to a high-functioning AI software team, including Agile management, code reviews, feedback sessions, presentations, and training.
- Collaborate closely with multiple teams to deliver key planning solutions and the software to support them
- Learn emerging and state of the art ML and quantization technologies, and implement support for these in AMD products
- Stay informed of software and hardware trends and innovations, including research papers and industry standards, especially pertaining to quantization and data type representation.
- Debug and fix existing issues, and research alternative, more efficient ways to accomplish the same work
PREFERRED EXPERIENCE:
- Strong experience in software development. Python, C, C++ preferred
- Ability to write high quality code with a keen attention to detail
- Strong computer science fundamentals; algorithms, data structures, compilers, and data types
- Experience with machine learning frameworks, PyTorch preferred
- Practical knowledge of machine learning theory and models, and familiarity with quantization
- Solid understanding of object-oriented-design concepts and design patterns
- Experience with software development processes and tools such as debuggers, version control systems (git), CI/CD automation, and performance profilers is a plus
- Effective communication and problem-solving skills
- Good analytical and problem-solving skills
ACADEMIC CREDENTIALS:
- Bachelor’s or Master’s degree in Computer/Software Engineering, Computer Science, or related technical discipline
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Benefits offered are described: AMD benefits at a glance.
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.