SMTS Software Development Eng.

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SMTS SOFTWARE DEVELOPMENT ENGINEER

THE ROLE:

We are seeking a highly skilled AI software architect with a background in different AI software flows, frameworks and compilers to drive our work around optimal inference.

THE PERSON:

As a Software Architect specializing, you will play a pivotal role in architecting, designing, and implementing high-performance machine learning algorithms and models. You will collaborate closely with cross-functional teams to develop and optimize software solutions for internal and production use cases. This role offers the opportunity to work on leading-edge projects, influence technical decisions, and mentor junior engineers.

KEY RESPONSIBILITIES:

• Lead the design, development, and optimization of machine learning algorithms and models using various frameworks.
• Architect and implement high-performance software solutions for AI applications, focusing on scalability, efficiency, and accuracy.
• Collaborate with researchers, data scientists, and engineers to integrate features into our products and platforms.
• Drive innovation by staying current with the latest advancements in AI.
• Actively contribute to the development of best practices in the space.
• Mentor junior engineers, provide technical guidance, and conduct code reviews to ensure high-quality software deliverables.
• Work with AMD’s architecture specialists to improve future products.
• Apply a data minded approach to target optimization efforts.
• Stay informed of software and hardware trends and innovations, especially pertaining to algorithms and architecture.
• Design and develop new groundbreaking AMD technologies.
• Debugging/fix existing issues and research alternative, more efficient ways to accomplish the same work.
• Develop technical relationships with peers and partners.

PREFERRED EXPERIENCE:

• Extensive experience in software engineering with a focus on machine learning, AI, or language models.
• Strong proficiency in C++ and experience with performance optimization techniques for high-throughput computing.
• In-depth knowledge of DirectML, including its architecture, APIs, and optimization techniques for GPU acceleration.
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or ONNX, and integrating them with DirectML.
• Solid understanding of language models, transformers , neural network architectures, and model optimization techniques.
• Proficiency in parallel computing concepts and GPU programming using CUDA or OpenCL is a plus.
• Excellent problem-solving skills and the ability to work effectively in a collaborative team environment.
• Strong communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

ACADEMIC CREDENTIALS:

• • Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degree (e.g., Master's or Ph.D.) is preferred but not required.

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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.