What are the responsibilities and job description for the Cluster Performance Engineer position at AMD and Careers?
Overview:
AMD is searching for motivated engineers to help shape the future of next-generation AI clusters. You’ll work on scalable systems that power advanced AI models and HPC applications, pushing the boundaries of performance and innovation. Finding bottlenecks and optimizing cluster infrastructure for the latest AI systems. Are you ready to take on the challenge of optimizing multi-node GPU communication across hardware, firmware, and software libraries to deliver peak performance? Do you have a clustering background. Join AMD's push for the next 5%.
THE PERSON:
You are accustomed to working in a dynamic, geographically distributed agile team, where partnership and collaboration are paramount. You possess excellent written and verbal communication skills, strong attention to detail, and the ability to express your work in a clear, cohesive fashion. You are results-oriented and accustomed to tight deadlines and changing priorities. Most importantly, you are constantly thinking of ways to improve performance of software and hardware.
ACADEMIC CREDENTIALS:
This role is not eligible for visa sponsorship.
#LI-TL1
Qualifications:
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.
WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
Responsibilities:
THE ROLE:
AMD is searching for motivated engineers to help shape the future of next-generation AI clusters. You’ll work on scalable systems that power advanced AI models and HPC applications, pushing the boundaries of performance and innovation. Finding bottlenecks and optimizing cluster infrastructure for the latest AI systems. Are you ready to take on the challenge of optimizing multi-node GPU communication across hardware, firmware, and software libraries to deliver peak performance? Do you have a clustering background. Join AMD's push for the next 5%.
THE PERSON:
You are accustomed to working in a dynamic, geographically distributed agile team, where partnership and collaboration are paramount. You possess excellent written and verbal communication skills, strong attention to detail, and the ability to express your work in a clear, cohesive fashion. You are results-oriented and accustomed to tight deadlines and changing priorities. Most importantly, you are constantly thinking of ways to improve performance of software and hardware.
KEY RESPONSIBILITIES:
- Become the liaison between the AMD engineers that work at the GPU, CPU and NIC components to help integrate solutions at the server-level, rack-level and cluster-level.
- Support validation of servers with AMD CPU/GPU/NICs and AMD’s libraries such as RCCL
- Design, implement, and test networking features for multi-GPU and multi-node communication libraries, both scale-up and scale-out
- Benchmark, profile and optimize code to maximize throughput on single-GPU, multi-GPU and clustered systems
- Deploy the libraries on large clusters and debug complex system level issues that could span across different layers of the software stack: particularly NIC kernel driver and GPU kernel drivers.
PREFERRED EXPERIENCE:
- Enabling clusters for end users, finding and resolving problems
- Experience working with RoCE(RDMA over Converge Ethernet), Libfabric and InfiniBand among others
- Experience working with Linux Kerner, Device drivers and network drivers.
- Experience designing and building GPU Networks for Large Scale Clusters
- Experience in collective communication libraries: MPI, RCCL, SHMEM and optimization to scale collective communication to scale distributed systems.
- In-depth knowledge of best practices in software development, including testing, profiling, debugging, documentation, version control, issue tracking, and planning
- Contributions to open-source libraries and applications
- Experience with installation and management of operating systems. Fundamental knowledge of virtual machines and hyper-visors
- GPU software development using HIP, CUDA, or OpenCL
- Understanding of CPU, GPU and NIC architecture and low-level optimization techniques including assembly programming and/or vectorization
ACADEMIC CREDENTIALS:
- Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or equivalent
- Master's degree in Engineering or Ph.D. is preferred.
This role is not eligible for visa sponsorship.
#LI-TL1
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.