Deep Learning Software Development Eng. - C++, Python, GPUs and Pytorch Job Listing at AMD in Austin, TX (Job ID 70946-en-us)

Description

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 specialized software engineer who is passionate about improving the performance of key applications and benchmarks. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology.   

THE PERSON:  

Our team is seeking a highly skilled and motivated senior developer with a strong technical foundation in C++/Python AI development in Linux environment. The ideal candidate combines deep technical expertise with strong analytical abilities, excelling both as a collaborative team member and as an independent contributor capable of defining goals, scoping work and leading development efforts end to end.  

KEY RESPONSIBILITIES:  

• Model Development and Optimization: Drive the development and optimization of Deep Learning models on AMD GPUs, ensuring high performance and scalability across training and inference workloads.  

• Framework Enablement: Lead efforts to enhance PyTorch and its ecosystems on AMD GPUs, contributing performance-critical improvements to upstream open-source repositories.  

• Open-Source Integration: Engage directly with PyTorch and other open-source maintainers to align on requirements, propose enhancements and ensure AMD contributions are successfully adopted and maintained upstream.  

• Community Feature Enablement: Collaborate with PyTorch community and ecosystem partners to design, enable and upstream new features, ensuring AMD GPUs remain first class for emerging AI workloads.  

• Cross-Functional Collaboration: Partner closely with internal GPU Libraries, compilers, and runtime teams to identify performance bottlenecks and deliver optimized solutions for large-scale AI workloads.  

• Scalable Systems Optimization: Developed innovative solutions for both scale-up (multi-GPU) and scale-out (multi-node) distributed training environments to optimize performance on AMD GPUs. 

• Engineering Excellence: Apply rigorous software engineering best practices, including code review, testing, CI/CD integration and debugging, to deliver reliable and maintainable solutions at scale.  

PREFERRED EXPERIENCE:  

• Software Engineering: Expert skills in Python and C++, with experience in debugging, performance tuning, and test design to ensure high-quality, maintainable software solutions.   

• AI Framework & Deep Learning: Solid understanding of AI frameworks such as PyTorch, Triton and vLLM, with applied knowledge across domains such as Natural Language Processing, Vision, Audio and Recommendation Systems. 

• GPU Computing: Strong experience with GPU Programming models (CUDA, HIP). 

• Development Processes & Tools: Proficiency with modern software practices and tooling, including debuggers, profilers, and version control systems (e.g., GitHub). 

• Collaboration & Problem Solving: Effective communicator with strong analytical and problem-solving skills, capable of working across diverse technical teams. 

ACADEMIC CREDENTIALS:  

• Master's or PhD level degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.   

#LI-JG1

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.